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To effectively guide the exploration of the code transform space for automated code evolution techniques, we present in this paper the first approach for structurally predicting code transforms at the level of AST nodes using conditional random fields (CRFs). Our approach first learns offline a probabilistic model that captures how certain code transforms are applied to certain AST nodes, and then uses the learned model to predict transforms for arbitrary new, unseen code snippets. Our approach involves a novel representation of both programs and code transforms. Specifically, we introduce the formal framework for defining the so-called AST-level code transforms and we demonstrate how the CRF model can be accordingly designed, learned, and used for prediction. We instantiate our approach in the context of repair transform prediction for Java programs. Our instantiation contains a set of carefully designed code features, deals with the training data imbalance issue, and comprises transform constraints that are specific to code. We conduct a large-scale experimental evaluation based on a dataset of bug fixing commits from real-world Java projects. The results show that when the popular evaluation metric top-3 is used, our approach predicts the code transforms with an accuracy varying from 41% to 53% depending on the transforms. Our model outperforms two baselines based on history probability and neural machine translation (NMT), suggesting the importance of considering code structure in achieving good prediction accuracy. In addition, a proof-of-concept synthesizer is implemented to concretize some repair transforms to get the final patches. The evaluation of the synthesizer on the Defects4j benchmark confirms the usefulness of the predicted AST-level repair transforms in producing high-quality patches. This work was partially supported by National Natural Science Foundation of China (Grant No. 62102233), Shandong Province Overseas Outstanding Youth Fund (Grant No. 2022HWYQ-043), Qilu Young Scholar Program of Shandong University, and Wallenberg Artificial Intelligence, the Wallenberg Autonomous Systems and Software Program (WASP) funded by Knut and Alice Wallenberg Foundation. Some experiments were performed on resources provided by the Swedish National Infrastructure for Computing.

Context: The use of standards is considered a vital part of any engineering discipline. So one could expect that standards play an important role in Requirements Engineering (RE) as well. However, little is known about the actual knowledge and use of RE-related standards in industry. Objective: In this article, we investigate to which extent standards and related artifacts such as templates or guidelines are known and used by RE practitioners. Method: To this end, we have conducted a questionnaire-based online survey. We could analyze the replies from 90 RE practitioners using a combination of closed and open-text questions. Results: Our results indicate that the knowledge and use of standards and related artifacts in RE is less widespread than one might expect from an engineering perspective. For example, about 47% of the respondents working as requirements engineers or business analysts do not know the core standard in RE, ISO/IEC/IEEE 29148. Participants in our study mostly use standards by personal decision rather than being imposed by their respective company, customer, or regulator. Beyond insufficient knowledge, we also found cultural and organizational factors impeding the widespread adoption of standards in RE. Conclusions: Overall, our results provide empirically informed insights into the actual use of standards and related artifacts in RE practice and - indirectly - about the value that the current standards create for RE practitioners., Preprint accepted for publication at IEEE Transactions on Software Engineering and presented as Journal First at the International Requirements Engineering conference 2021. Latest update: Several smaller corrections along the creation of the final version of the manuscript

Software organisations aim to develop and maintain high-quality software systems. Due to large amounts of behaviour data available, software organisations can conduct data-driven software maintenance. Indeed, software quality assurance and improvement programs have attracted many researchers' attention. Bayesian Networks (BNs) are proposed as a log analysis technique to discover poor performance indicators in a system and to explore usage patterns that usually require temporal analysis. For this, an action research study is designed and conducted to improve the software quality and the user experience of a web application using BNs as a technique to analyse software logs. To this aim, three models with BNs are created. As a result, multiple enhancement points have been identified within the application ranging from performance issues and errors to recurring user usage patterns. These enhancement points enable the creation of cards in the Scrum process of the web application, contributing to its data-driven software maintenance. Finally, the authors consider that BNs within quality-aware and data-driven software maintenance have great potential as a software log analysis technique and encourage the community to deepen its possible applications. For this, the applied methodology and a replication package are shared. Junta de Andalucía, Grant/Award Number: P20‐00091; AEI, Grant/Award Number: PID2019‐106758GB‐32/AEI/10.13039/501100011033; Spanish project, Grant/Award Number: PDC2021‐121195‐I00; Spanish Program, Grant/Award Number: BEAGAL18/00064

El modelado basado en agentes (ABM) es una de las formas más adecuadas para simular y analizar problemas y simulaciones complejas, como la simulación de entornos y escenarios sociales. El tipo de plataforma que se utiliza con mayor frecuencia en estas iniciativas es la de un sistema multiagente. Los sistemas multiagente están compuestos por varios actores (agentes) en un entorno de simulación concreto, cada uno de ellos tiene un conocimiento individual y un comportamiento individual. Una de las aplicaciones de estos sistemas es analizar el comportamiento colectivo emergente en contextos como la sociología, la economía, la formulación de políticas, etc. escalabilidad En trabajo realizado en la UPC en Abril de 2019, se propuso, teorizó e implementó una plataforma que permite a los agentes complejos con planificación HTN escalar y ejecutarse en paralelo. Seguidamente en Junio de 2022 se amplió dicha plataforma para permitir un mejor análisis de las relaciones sociales entre los agentes a través de las preferencias sobre sus objetivos, preferencias sobre sus planes, acciones y valores morales, al mismo tiempo que se aseguraba que las adiciones fueran escalables. En este trabajo, partimos del trabajo previo realizado por David Marin sobre la ampliación de dicha plataforma, y ¿¿lo ampliamos, tanto de manera formal como a nivel de funcionalidades y eficiencia. Formalizamos las adiciones al modelo del sistema, así como sus modificaciones, y lo mismo hacemos para la implementación. Al final, proporcionamos un escenario de ejemplo complejo para mostrar todas las adiciones que hemos creado. Agent-based modeling (ABM) is one of the most suitable ways to simulate and analyze complex problems and simulations, such as the simulation of social environments and scenarios. The type of platform most frequently used in these initiatives is that of a multi-agent system. Multi-agent systems are composed of several actors (agents) in a particular simulation environment, each having individual knowledge and individual behavior. One of the applications of these systems is to analyze emergent collective behavior in contexts such as sociology, economics, policy formulation, etc. scalability In work done at UPC in April 2019, a platform was proposed, theorized and implemented that allows complex agents with HTN planning to scale and run in parallel. We then extended that platform in June 2022 to enable better analysis of social relationships between agents through preferences over their goals, preferences over their plans, actions, and moral values, while ensuring that additions are scalable. In this paper, we build on previous work done by David Marin on the extension of such a platform, and extend it, both formally and in terms of functionalities and efficiency. We formalize the additions to the system model, as well as its modifications, and do the same for the implementation. At the end, we provide a complex example scenario to show all the additions we have created.

En els darrers anys, els algorismes de cadena d'abastament han evolucionat significativament a causa de l'ús cada vegada major de dades massives. El Big Data està revolucionant molts camps, incloent-hi la cadena d'abastament, permetent una millor presa de decisions i una major eficiència en la gestió d'inventaris i rutes de lliurament. Aquest projecte utilitzarà un enfocament de Big Data per millorar l'eficiència en la cadena d'abastament (concretament els nivells de servei) i prendre decisions més informades per millorar la reposició d'inventari. In recent years, supply chain algorithms have significantly evolved due to the increasing use of big data. Big Data is revolutionizing many fields, including the supply chain, by enabling better decision-making and greater efficiency in managing inventories and delivery routes. This project will use a Big Data approach to improve efficiency in the supply chain (specifically service levels) and make more informed decisions to improve inventory replenishment.

This paper addresses the performance optimisation of an application based on business integration patterns developed with Apache Camel in a Spring Framework environment. To achieve this goal, several analysis methods are detailed and applied to identify bottlenecks and areas for improvement. As a result, appropriate techniques are implemented to improve the speed of the application. In this way, the importance of an analytical approach in optimising enterprise integration applications is shown. En aquest treball s'aborda l'optimització del rendiment d'una aplicació basada en patrons d'integració empresarial desenvolupada amb Apache Camel en un entorn de Spring Framework. Per assolir aquest objectiu, es detallen i s'apliquen diversos mètodes d'anàlisi per identificar colls d'ampolla i àrees de millora i, com a resultat, s'implementen tècniques adequades per millorar la velocitat de l'aplicació. D'aquesta manera, es mostra la importància d'un enfocament analític en optimitzar aplicacions d'integració empresarial.

The last decade has been the stage for many groundbreaking Artificial Intelligence technologies, such as revolutionary language models: Generative models capable of synthesizing surprisingly unique data. Such a novelty also brings about public concerns, primarily due to state-of-the-art models' ''black box'' nature. One of the domains that has quickly adopted the generative deep learning paradigm is drug discovery, which, from a pharmaceutical industry point of view, is an extremely expensive and time-consuming process. However, the inner workings of such models are not inherently understandable by humans, causing hesitation to fully trust their results. The concept of disentanglement is one of the fundamental requirements to explain generative models, determining the extent to which steerability and navigation can be achieved in the latent space. Unfortunately, the application potential of interpretability approaches has some limitations depending on the availability of generative latent factors. This work aims to shed some light on the synthesized latent spaces of state-of-the-art molecular generative models: A couple of basic assumptions made about the latent space characteristics are analyzed and potential pitfalls related to domain, architecture, and molecule representation preferences are addressed. The degree to which the steerability in the latent space is achieved is quantified by implementing a novel interpretability approach, providing the basis for the comparison of alternative model configurations. The experiments further revealed that modeling decisions have a direct impact on achievable interpretability; albeit limited by the intricacies of the medicinal chemistry domain.

High-Performance Computing can be accelerated using long-vector architectures. However, creating efficient coding implementations for these architectures can be challenging. This Master's thesis focuses on implementing four well-known and widely-used graph processing algorithms using the RISC-V Vector Extension, leveraging an experimental system in an FPGA. I present a graph storage format that benefits from long vectors and describe how these four algorithms can be rewritten to utilize it. This thesis also introduces an instrumentation tool for FPGA that I developed to link the output of electrical engineering software with performance analysis tools for HPC. This tool allows users to visualize information coming from the logic analyzer internal to the FPGA with powerful visualization tools, permitting fine-grain analysis of the FPGA signals correlated with the code running on it. This tool has been integrated into the experimental performance analysis tools of BSC. In this thesis I leverage this tool to analyze and improve my implementations of graph algorithms for long-vector architectures, collecting the process and thoughts behind each optimization. Finally, I compare the performance of my vector implementations with other machines, such as the NEC SX-Aurora, a commercial RISC-V board, and an Intel chip.

Image processing and, more generally, array processing play an essential role in modern life: from applying filters to the images that we upload to social media to running object detection algorithms on self-driving cars. Optimizing these algorithms can be complex and often results in non-portable code. The Halide language provides a simple way to write image and array processing algorithms by separating the algorithm definition (what needs to be executed) from its execution schedule (how it is executed), delivering state-of-the-art performance that exceeds hand-tuned parallel and vectorized code. Due to the inherent parallel nature of these algorithms, FPGAs present an attractive acceleration platform. While previous work has added an RTL code generator to Halide, and utilized other heterogeneous computing languages as an intermediate step, these projects are no longer maintained. MLIR is an attractive solution, allowing the generation of code that can target multiple devices, such as parallelized and vectorized CPU code, OpenMP, and CUDA. CIRCT builds on top of MLIR to convert generic MLIR code to register transfer level (RTL) languages by using Calyx, a new intermediate language (IL) for compiling high-level programs into hardware designs. This thesis presents a novel flow that implements an MLIR code generator for Halide that generates RTL code, adding the necessary wrappers to execute that code on Xilinx FPGA devices. Additionally, it implements a Halide runtime using the Xilinx Runtime (XRT), enabling seamless execution of the generated Halide RTL kernels. While this thesis provides initial support for running Halide kernels and not all features and optimizations are supported, it also details the future work needed to improve the performance of the generated RTL kernels. The proposed flow serves as a foundation for further research and development in the field of hardware acceleration for image and array processing applications using Halide.

Aquest projecte tracta de traduir i documentar un conjunt de llibreries escrit en llenguatge C a Python. Les llibreries s'utilitzen per controlar una pantalla LCD a través d'un microcontrolador. El treball ha estat desenvolupat utilitzant la placa "MicroPython pyboard lite v1.0" i una pantalla LCD "Waveshare LCD 22". El projecte de Victor Boguña ha estat utilitzat com a base per a aquest treball. Així com el projecte anterior a facilitat la feina alhora de crear els mòduls, aquest projecte ofereix un punt de partida als futurs alumnes. I dona les eines bàsiques per poder desenvolupar noves aplicacions per a la pantalla utilitzant el llenguatge que s’ha estudiat al grau. S'han traduït cinc de les sis llibreries originals i s'han creat cinc mòduls organitzats de forma lleugerament diferent per a aquesta tasca. Els mòduls s'han agrupat en dos nivells: el nivell alt, que conté funcions per escriure text i crear formes geomètriques, i el nivell baix, que conté funcions per comunicar-se amb els controladors de la pantalla i modificar els registres per representar imatges. S'han creat demostracions predefinides per verificar el funcionament de les llibreries, que es poden manipular en el mòdul "main.py". Aquestes demostracions mostren com es pinta la pantalla amb franges de colors, les diferents formes geomètriques que es poden crear i tots els caràcters que es poden escriure. Finalment, s'ha creat un manual d'usuari senzill per explicar com utilitzar les funcions comentades anteriorment Este proyecto tiene como objetivo traducir y documentar un conjunto de bibliotecas escritas en lenguaje C a Python. Las bibliotecas se utilizan para controlar una pantalla LCD a través de un microcontrolador. El trabajo ha sido desarrollado utilizando la placa "MicroPython pyboard lite v1.0" y una pantalla LCD "Waveshare LCD 22". El proyecto de Victor Boguña ha sido utilizado como base para este trabajo. Al igual que el proyecto anterior ha facilitado el trabajo de crear los módulos, este proyecto ofrece un punto de partida a los futuros estudiantes. Y proporciona las herramientas básicas para poder desarrollar nuevas aplicaciones para la pantalla utilizando el lenguaje que se ha estudiado en la carrera. Se han traducido cinco de las seis bibliotecas originales y se han creado cinco módulos organizados de forma ligeramente diferente para esta tarea. Los módulos se han agrupado en dos niveles: el nivel alto, que contiene funciones para escribir texto y crear formas geométricas, y el nivel bajo, que contiene funciones para comunicarse con los controladores de la pantalla y modificar los registros para representar imágenes. Se han creado demostraciones predefinidas para verificar el funcionamiento de las bibliotecas, que se pueden manipular en el módulo "main.py". Estas demostraciones muestran cómo se pinta la pantalla con franjas de colores, las diferentes formas geométricas que se pueden crear y todos los caracteres que se pueden escribir. Finalmente, se ha creado un manual de usuario sencillo para explicar cómo utilizar las funciones comentadas anteriormente. This project aims to translate and document a set of libraries written in C language to Python. The libraries are used to control an LCD screen through a microcontroller. The work has been developed using the "MicroPython pyboard lite v1.0" board and a "Waveshare LCD 22" LCD screen. Victor Boguña's project has been used as a basis for this work. As the previous project facilitated the work of creating the modules, this project is created to offer a starting point for future students. Providing the basic tools to be able to develop new applications for the screen using the language that has been studied in the degree. Five of the original six libraries have been translated and five modules have been created, organized slightly differently for this task. The modules have been grouped into two levels: the high level, which contains functions for writing text and creating geometric shapes, and the low level, which contains functions for communicating with the screen controllers and modifying registers to represent images. Predefined demonstrations have been created to verify the functioning of the libraries, which can be manipulated in the "main.py" module. These demonstrations show how the screen is painted with colour stripes, the different geometric shapes that can be created, and all the characters that can be written. Finally, a simple user manual has been created to explain how to use the functions commented above.

Requirements specifcation is a core activity in the requirements engineering phase of a software development project. Researchers have contributed extensively to the feld of requirements specifcation, but the extent to which their proposals have been adopted in practice remains unclear. We gathered evidence about the state of practice in requirements specifcation by focussing on the artefacts used in this activity, the application of templates or guidelines, how requirements are structured in the specifcation document, what tools practitioners use to specify requirements, and what challenges they face. We conducted an interview-based survey study involving 24 practitioners from 12 diferent Swedish IT companies. We recorded the interviews and analysed these recordings, primarily by using qualitative methods. Natural language constitutes the main specifcation artefact but is usually accompanied by some other type of instrument. Most requirements specifcations use templates or guidelines, although they seldom follow any fxed standard. Requirements are always structured in the document according to the main functionalities of the system or to project areas or system parts. Diferent types of tools, including MS Ofce tools, are used, either individually or combined, in the compilation of requirements specifcations. We also note that challenges related to the use of natural language (dealing with ambiguity, inconsistency, and incompleteness) are the most frequent challenges that practitioners face in the compilation of requirements specifcations. These fndings are contextualized in terms of demographic factors related to the individual interviewees, the organization they are afliated with, and the project they selected to discuss during our interviews. A number of our fndings have been previously reported in related studies. These fndings show that, in spite of the large number of notations, models and tools proposed from academia for improving requirements specifcation, practitioners still mainly rely on plain natural language and general-purpose tool support. We expect more empirical studies in this area in order to better understand the reason of this low adoption of research results. This paper has been funded by the Spanish Ministerio de Ciencia e Innovación under project/funding scheme PID2020-117191RB-I00/AEI/.

The most widely used technique to allow for parallel simulations in molecular dynamics is spatial domain decomposition, where the physical geometry is divided into boxes, one per processor. This technique can inherently produce computational load imbalance when either the spatial distribution of particles or the computational cost per particle is not uniform. This paper shows the benefits of using a hybrid MPI+OpenMP model to deal with this load imbalance. We consider LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator), a prototypical molecular dynamics simulator that provides its own balancing mechanism and an OpenMP implementation for many of its modules, allowing for a hybrid setup. In this work, we extend the current OpenMP implementation of LAMMPS and optimize it and evaluate three different setups: MPI-only, MPI with the LAMMPS balance mechanism, and hybrid setup using our improved OpenMP version. This comparison is made using the five standard benchmarks included in the LAMMPS distribution plus two additional test cases. Results show that the hybrid approach can deal with load balancing problems better and more effectively (50% improvement versus MPI-only for a highly imbalanced test case) than the LAMMPS balance mechanism (only 43% improvement) and improve simulations with issues other than load imbalance. This work is partially supported by the Spanish Government through Programa Severo Ochoa (SEV-2015-0493), by the Spanish Ministry of Science and Technology (TIN2015-65316-P), by the Generalitat de Catalunya (2017-SGR-1414), and by the European POP CoE (GA n. 824080). This work is also funded as part of the European Union Horizon 2020 research and innovation program under grant agreement nos. 800925 (VECMA project; www.vecma.eu) and 823712 (CompBioMed2 Centre of Excellence; www.compbiomed.eu), as well as the UK EPSRC for the UK High-End Computing Consortium (grant no. EP/R029598/1).

Technological progress in recent years has led to the automation of many of the tasks we perform in our daily life. Massive use of digital devices nowadays means that a lot of information could be collected, for example about our habits and behaviours. All this data can be used to develop technological solutions, such as recommender systems, that analyse our behaviour and can predict future scenarios that make our lives easier. The goal of this project is to create a mobile recommender system on Android that tries to motivate users to do more physical activity by offering enjoyable POIs (Points Of Interest) such as parks, museums, tourist attractions... It should be noted that most recommender systems are only based on preferences, but in this project, the context of the user will also be used to make suggestions. In other words, the user's location will be obtained in real time in order to propose different points of interest in their surroundings that are close to their personal interests.

This final degree thesis aims to document the process of working in a digital product development department in the implementation of software improvements. It is carried out within the framework of a university-Company collaboration agreement with PayFit Spain, a Company specializing in labor consulting, payroll, and human resources management. The thesis details not only the development from beginning to end of a specific software improvement need within the Company, but also the previous (identification and prioritization) and subsequent phases (analysis of results and future iterations). It provides context about the Company's business model and the technical infrastructure that supports the software. In summary, this thesis aims to reflect how the knowledge and analytical skills obtained during the degree program are applied to a real project within a business environment. Este trabajo de final de grado pretende documentar como se trabaja en un departamento de desarrollo de producto digital en la implementación de una mejora de software. Se realiza en el marco de un convenio de colaboración empresa-universidad en PayFit España, una empresa especializada en asesoramiento laboral y gestión de nóminas y recursos humanos. El trabajo detalla no solo el desarrollo de inicio a fin de una necesidad de mejora del software propio de la empresa, sino también las fases anteriores (identificación y priorización) y posteriores (análisis de resultados y futuras iteraciones). Se proporciona contexto sobre el modelo de negocio de la compañía y la infraestructura técnica que respalda el software. En resumen, este trabajo pretende reflejar la aplicación de los conocimientos y las capacidades analíticas obtenidos durante el grado en un proyecto real en entorno empresarial. Aquest treball de fi de grau pretén documentar com es treballa en un departament de desenvolupament de producte digital en la implementació d'una millora de software. Es realitza en el marc d'un conveni de col·laboració empresa-universitat a PayFit España, una empresa especialitzada en assessorament laboral i gestió de nòmines i recursos humans. El treball no només detalla el desenvolupament d'inici a fi d'una necessitat de millora del software propi de l'empresa, sinó també les fases anteriors (identificació i priorització) i posteriors (anàlisi de resultats i iteracions futures). Es proporciona context sobre el model de negoci de la Companyia i la infraestructura tècnica que dona suport al programari. En resum, aquest treball vol reflectir l'aplicació dels coneixements i les capacitats analítiques obtinguts durant el grau en un projecte real d'entorn empresarial.

Quan es tracta de gestionar magatzems i dissenyar tots els processos, normalment hi ha molts aspectes que es poden millorar de múltiples maneres. Aquest és l'objectiu principal d'aquest projecte. Planificar i organitzar la distribució d'un magatzem amb l'ajuda d'una eina software, ajuntar comandes i obtenir un grup d'aquests adequat juntament amb una ruta de recol·lecció conformen els tres pilars fonamentals de tot aquest projecte. En tractar-se de diversos problemes a resoldre, aquests requereixen diferents solucions per cadascun d'ells. Per planificar i organitzar la distribució d'un magatzem s'ha implementat un model de renderitzat en 3d junt amb algunes funcionalitats. I, per l'altra banda, pels afers d'ajuntar comandes i calcular una ruta adequada, s'ha implementat un algoritme optimitzat per cadascun d'ells. Totes aquestes millores s'han implementat a la infraestructura i flux de treball d'Amphora. When managing warehouses and designing all the processes usually many aspects can be optimized in multiple ways. That is the primary goal of this project. Planning and organizing a warehouse layout with the support of a software tool, cluster orders, and getting a suitable group of them along with an optimized picking route are the three pillars of this whole project. Since there are multiple problems to solve, these require a different solution for each one of them. To plan and organize a warehouse layout while interacting with real-time data, a 3d rendering model has been implemented along with some functionalities. And on the other hand, for the clustering and routing problems, an optimized algorithm has been implemented for each one. All these improvements are implemented in the infrastructure and workflow created by Amphora.

Aquest projecte es lliura com a Treball Final del Grau d'Enginyeria Informàtica de la Facultat d'Informàtica de Barcelona. Aquest projecte consisteix a desenvolupar una aplicació mòbil Android que permet als usuaris gestionar els seus entrenaments d'hipertròfia o força al gimnàs. L'aplicació compta amb tota mena de funcionalitats per complir aquest objectiu: registrar i editar exercicis i entrenaments, planificar rutines, obtenir dades de seguiment... En aquesta memòria s'inclou tota la documentació necessària per al desenvolupament de l'aplicació: planificació, gestió, metodologia, disseny, implementació, testatge i conclusions. This project is delivered as the Final Thesis of the Computer Engineering Degree of the Barcelona Faculty of Computer Science. This project involves developing an Android mobile application that allows users to manage their hypertrophy or strength training in the gym. The application has all kinds of functionalities to fulfill this objective: register and edit exercises and training, plan routines, obtain tracking data... This memory includes all the documentation necessary for the development of the application: planning, management, methodology, design, implementation, testing and conclusions.

COMPS Superscalar (COMPSs) és un model de programació per aplicacions distribuïdes desenvolupat al Barcelona Supercomputing Center que explota el paral·lelisme inherent de les aplicacions. En l'actualitat depèn d'una capa de comunicació externa obsoleta que en limita el seu rendiment. El projecte té com a principal objectiu en el disseny i desenvolupament de la dita capa de comunicació per poder aplicacions que facin servir diversos supercomputadors. Aquest complement al programa COMPSs utilitzarà el protocol SSH per realitzar la comunicació de forma segura amb els supercomputadors. COMPS Superscalar (COMPSs) is a programming framework for distributed Applications developed by Barcelona Supercomputing center, which exploits the inherent parallelism of applications. Nowadays, it relies on an obsolete communication layer that limits its performance. The main objective of the project is the design and development of said communication layer to be able to create applications that use several supercomputers. This add-on to the COMPSs program uses the SSH protocol to securely communicate with supercomputers.

Actualment, els restaurants petits i mitjans tenen dificultats per a fer una bona gestió de les seves reserves, afectant negativament als seus beneficis. La principal causa és la gestió manual, ja que aquesta limita el rang de disponibilitat en el moment de fer reserves. Amb l'objectiu d'ajudar a aquest sector, sorgeix aquest treball de fi de grau. Es pretén desenvolupar un sistema que permeti als restaurants gestionar les reserves, estudiar el funcionament i comunicar-se amb els seus clients. A més, permet als clients fer les seves pròpies reserves sense necessitat de trucar ni assistir i, un cop realitzada l'estança, valorar-la perquè el restaurant conegui les necessitats dels seus clients. El projecte contempla el disseny i implementació de dues aplicacions Android: una per al restaurant i l'altra per als clients, i un servidor que gestiona totes les dades del sistema. El conjunt d'aquestes dues parts genera un sistema ideal per al seu ús en el sector de l'hostaleria. Currently, small and medium-sized restaurants have difficulties in managing their reservations, which negatively affects their profits. This is mainly caused by manual management, as this limits the range of availability at the time of booking. With the aim of helping this sector, this final degree thesis has been created. The aim is to develop a system that allows restaurants to manage their reservations, to study how their restaurant is running and to communicate with their customers. In addition, it will let customers make their reservations without having to call or go, and once the stay is over, to give feedback of it so that the restaurant can know better of its customers needs. The project involves the design and implementation of two Android applications: one for the restaurant and another for the customer, and a server that manages all the system's data. The combination of these two parts generates an ideal system for use in the hospitality sector.

Durant les últimes dues dècades els sistemes d'informació han irromput de forma massiva a les empreses en tots els seus àmbits. Aquests sistemes busquen ajudar a les empreses, però hi ha sistemes d'informació que van més enllà d'una simple aplicació que millorarà els beneficis de l'empresa per art de màgia, com és el cas dels CRM. Els estudis elaborats mostren que les implementacions d'aquests sistemes tenen una taxa de fallida de fins a un 70%, la qual cosa resulta preocupant i inversemblant. Un podria pensar que tot és a causa de males implementacions o mals sistemes, però si estirem una mica més del fil ens trobarem que un 71% de les causes de fallida corresponen a factors organitzacionals i de gestió, és a dir problemes completament aïllats del sistema en si. Aquest TFG proposa un estudi de la situació i dels diferents factors organitzacionals que tenen un impacte directe en la implementació d'un sistema CRM, així com el desenvolupament d'una aplicació que ajudi a realitzar un seguiment i un estudi d'aquests factors. Over the last two decades, information systems have massively disrupted companies in all their fields. These systems seek to help companies, but there are information systems that go beyond a simple application that will improve the company's profits by magic, as is the case with CRMs. Studies have shown that the implementations of these systems have a failure rate of up to 70%, which is worrying and unlikely. One might think that it is all due to bad implementations or bad systems, but if we pull a little bit more of the thread, we will find that 71% of the causes of failure correspond to organizational and management factors, which are problems completely isolated to the system. This TFG proposes a study of the situation and of the various organizational factors that have a direct impact on the implementation of a CRM system, as well as the development of an application that helps to monitor and study these factors.

Arm usage has substantially grown in the High-Performance Computing (HPC) community. Japanese supercomputer Fugaku, powered by Arm-based A64FX processors, held the top position on the Top500 list between June 2020 and June 2022, currently sitting in the second position. The recently released 7th generation of Amazon EC2 instances for compute-intensive workloads (C7g) is also powered by Arm Graviton3 processors. Projects like European Mont-Blanc and U.S. DOE/NNSA Astra are further examples of Arm irruption in HPC. In parallel, over the last decade, the rapid improvement of genomic sequencing technologies and the exponential growth of sequencing data has placed a significant bottleneck on the computational side. While the majority of genomics applications have been thoroughly tested and optimized for x86 systems, just a few are prepared to perform efficiently on Arm machines, let alone exploit the advantages of the newly introduced Scalable Vector Extensions (SVE). This thesis presents GenArchBench, the first genome analysis benchmark suite targeting Arm architectures. We have selected a set of computationally demanding kernels from the most widely used tools in genome data analysis and ported them to Arm-based A64FX and Graviton3 processors. The porting features the usage of the novel Arm SVE instructions, algorithmic and code optimizations, and the exploitation of Arm-optimized libraries. All in all, the GenArch benchmark suite comprises 13 multi-core kernels from critical stages of widely-used genome analysis pipelines, including base-calling, read mapping, variant calling, and genome assembly. Moreover, our benchmark suite includes different input data sets per kernel (small and large), each with a corresponding regression test to verify the correctness of each execution automatically. In this work, we present the optimizations implemented in each kernel and a detailed performance evaluation and comparison of their performance on four different architectures (i.e., A64FX, Graviton3, Intel Xeon Platinum, and AMD EPYC). Additionally, as proof of the impact of this work, we study the performance improvement in a production-ready genomics pipeline using the GenArchBench optimized kernels.

Actualment, hi ha diverses solucions de servidor que s'adapten a les necessitats específiques de l'empresa. Els més comuns són IaaS, PaaS i SaaS. Aquestes solucions solen ser contractades per empreses privades, en comptes de tenir els seus propis Centres de Processament de Dades. El problema principal és el sobreprovisionament de maquinari per gestionar el gran nombre de peticions quan es produeixen pics. L'objectiu d'aquest projecte és abordar aquest problema explorant altres solucions de servidor i centrant-se en Function as a Service. Aquesta darrera solució proporciona, entre altres funcions, la possibilitat d'autoescalar funcions; aquesta característica és adequada per reduir el consum energètic i, per tant, els recursos monetaris. L'objectiu final és explorar una solució de codi obert per implementar-la en un DPC Entrust. Per tant, si compleix les expectatives de l'empresa, acabarà sent un producte intern. Nowadays, there are several server solutions which are adapted to specific company needs. The most common are IaaS, PaaS and SaaS. These solutions usually are contracted by private companies, instead of owning their own Data Processing Centres. The principal issue is overprovisioning hardware to handle the great number of requests when peaks occur. The aim of this project is to address this issue by exploring other server solutions and focusing on Function as a Service. This last solution provides, among other functions, the possibility of autoscaling functions; this feature is suitable to reduce energy consumption and, therefore, monetary resources. The final objective is to explore an open-source solution to deploy it on an Entrust DPC. Therefore, if it meets the expectations of the company, it will end up being an internal product.

El objetivo del trabajo es mejorar y modernizar un laboratorio HPC situado en el departamento de Física de la Matéria Condensada de la Facultad de Física en la Universidad de Barcelona. Consistirá en implementar una arquitectura unificada que mejore la gestión y la seguridad de la infrastructura, integrando nodos CPU y GPU, permitiendo una administración centralizada de los recursos, y permitiendo la ejecución de trabajos con el sistema de colas SLURM. The objective of the work is to improve and modernize an HPC laboratory located in the Department of Condensed Matter Physics of the Faculty of Physics at the University of Barcelona, where I currently work and develop the role of systems administrator. This lab is used by researchers and PhD students to run high performance calculations and simulations. The infrastructure currently consists of a 40-node computing cluster based on CPUs, managed through the SGE scheduler. In addition, the laboratory has another 6 isolated GPU servers. Given the segregation between these systems, the need arises for a unified architecture that improves both the management and the security of the infrastructure. For this reason, my objective is to implement a new cluster from scratch, which integrates both CPU and GPU nodes, allowing a centralized and more sophisticated management of resources. To achieve this goal, the idea is to integrate a cluster of Linux servers managed by a SLURM queue system, in addition to implementing a multiversion software manager through EasyBuild and a module manager. On the other hand, for user management, the use of software based on the LDAP protocol and a remote backup system to provide security copies are proposed.

Actualment, cada cop mes processos administratius passen a ser digitals gràcies a aplicacions software de tot tipus, però no sempre s'adapten correctament a les necessitats dels usuaris finals. Aquest projecte, consisteix en recollir requisits i dissenyar una programa de gestió de processos per a l'institut de ciències de l'educació (ICE) de la UPC per a gestionar els treballs finals de postgrau amb l'objectiu final de posar la primera pedra dins la matèria i integrar la nova solució dins la xarxa UPC. Nowadays, more and more administrative processes are becoming digital thanks to software applications of all kinds, but they are not always correctly adapted to the needs of end users. This project consists of collecting and designing a process management programme for the Institut de ciències de l'educació (ICE) of the UPC to manage the Postgraduate Final Projects with the final objective of taking the first step in the field and integrating the new solution within the UPC network.

Treball de Final de Grau realitzat conjuntament amb Webfleet Solutions, una empresa que proporciona solucions telemàtiques per la gestió de flotes. El treball s'ha fet a l'equip OEM Integration, un dels 57 equips que consta l'empresa, el qual s'encarrega de desenvolupar components que connectin servies de proveïdors externs, com poden ser Mercedes Benz o Ford, amb el sistema intern de l'empresa. Actualment, l'equip disposa de 4 components que connecten, cadascun, amb un proveïdor extern diferent. Les dades són enviades pels proveïdors i és, llavors, responsabilitat de cada component processar aquests i anar actualitzant l'estat en què es troben els diferents vehicles. El nucli principal dels components el forma la llibreria UNIPAT (Unit Papaya Translator). Aquesta és la que s'encarrega de reportar i controlar l'estat de totes les unitats actives als components. Aquest treball, és basa en desenvolupar una capa de persistència per a la llibreria UNIPAT. Actualment, ja n'existeix una, però aquesta es troba molt acoblada als components i la seva estructura es repeteix a cada component innecessàriament. Així doncs, el projecte consisteix en abstreure tota la persistència, ubicada als components, que la llibreria UNIPAT necessita i crear-ne una capa comuna que pugui fer-se servir sense cap problema a qualsevol component nou o existent.

Aquest projecte es lliura com a Treball Final del Grau d'Enginyeria Informàtica de la Facultat Informàtica de Barcelona. L'objectiu és posar en pràctica els coneixements adquirits durant l'especialitat d'Enginyeria del Software. El projecte consisteix a dissenyar i implementar una aplicació mòbil que permeti als usuaris fer el seguiment i la planificació la seva ruta de running de manera que en aquesta última sigui el sistema l'encarregat de donar una ruta en funció dels paràmetres introduïts per l'usuari. This project is delivered as the Final Project of the Computer Engineering Degree of the Faculty of Computer Science of Barcelona. The objective is to put into practice the knowledge acquired during the Software Engineering specialty. The project consists of designing and implementing a mobile application that allows users to track and plan the running route so that in the latter the system is responsible for giving a route based on the parameters entered by the user.

This thesis presents the design, implementation, and evaluation of an extension of a library called TALP for tracing useful computation and performance metrics in MPI-based applications (Message Passing Interface). The extension also integrates the tool with a web portal called UserPortal. They are both developed at the Barcelona Supercomputing Center (BSC). The library captures information about communication patterns and computation performed by MPI applications, and makes this information available to users. The extension developed in this project adds the functionality of reading PAPI (Performance Application Programming Interface) counters, allowing users to know the instructions per cycle of their application and identify bottlenecks in their code. UserPortal provides an easy-to-use interface for visualizing and analyzing the captured information and allows users to easily monitor the status of their jobs, such as memory usage, CPU usage, and their evolution over time. The integration of the library with the BSC system involves several stages of design and development, including a software wrapper, a modulefile, scripts for retrieving and processing data, and web development to display the data on the UserPortal. However, users must be educated in performance analysis in order to effectively make a good reading and interpretation of the reported metrics and optimize their codes. A public documentation has been developed as well as a reference on how to use these tools on BSC machines, along with links to educational resources on related topics. Overall, this work provides a valuable tool for developers and researchers working with MPI-based applications, making performance optimization more approachable and efficient. Aquesta tesi presenta el disseny, la implementació i l'avaluació d'una extensió d'una llibreria anomenada TALP per traçar el càlcul útil i les mètriques de rendiment en aplicacions basades en MPI (Message Programming Interface por les seves sigles en anglès). L'extensió també integra l'eina amb un portal web anomenat UserPortal. Tots dos són desenvolupats al Barcelona Supercomputing Center (BSC). La llibreria captura informació sobre patrons de comunicació i càlcul realitzat per aplicacions MPI i posa aquesta informació a disposició dels usuaris. L'extensió desenvolupada en aquest projecte afegeix la funcionalitat de llegir comptadors PAPI (Performance Application Programming Interface), permetent als usuaris saber les instruccions per cicle de la seva aplicació i identificar colls d'ampolla en el seu codi. UserPortal proporciona una interfície fàcil d'utilitzar per visualitzar i analitzar la informació capturada i permet als usuaris monitoritzar fàcilment l'estat dels seus treballs, com ara l'ús de la memòria, l'ús de la CPU i la seva evolució en el temps. La integració de la llibreria amb el sistema del BSC implica diverses etapes de disseny i desenvolupament, incloent un envolupador de programari, un modulefile, scripts per recuperar i processar dades i desenvolupament web per mostrar les dades en el UserPortal. No obstant, els usuaris han de ser educats en l'anàlisi de rendiment per tal de fer una lectura i interpretació efectiva de les mètriques reportades i ser capaços d'optimitzar els seus codis. S'ha desenvolupat una documentació pública així com una referència sobre com utilitzar aquestes eines en les màquines BSC, juntament amb enllaços a recursos educatius sobre temes relacionats. En general, aquest treball proporciona una eina valuosa per als desenvolupadors i investigadors que treballen amb aplicacions basades en MPI, fent que l'optimització del rendiment sigui més accessible i eficient.

CAM és un projecte desenvolupar per a TICxCAT amb el qual es pretén poder tenir un inventari de les aplicacions i els seus components per millorar les tasques de control i gestió de projectes de l'empresa. A part de les funcionalitats d'inventari, el sistema també permet la càrrega d'informació massivament i la generació d'informes. CAM is a project developed for TICxCAT with the aim of being able to have an inventory of the Applications and their components to improve the control and project management tasks of the company. Apart from the inventory functions, the system also allows the uploading of information massively and the generation of reports.

A raíz de la fusión de Tiendeo con Shopfully, nace la necesidad de crear una metodología de trabajo para poder definir las pautas y procedimientos para poder realizar una migración de dominio exitosa, unificando los dominios de Tiendeo y Shopfully. Para ello, se analizarán las aplicaciones que puedan verse afectadas por dicho cambio y se recreará el escenario que está en producción actualmente para realizar las pruebas pertinentes. Este sandbox está compuesto por Google Workspace, Slack, Jira y Onelogin. Para finalizar se crearán/modificarán los scripts de las aplicaciones necesarias para automatizar al máximo el proceso. As a result of the Tiendeo-Shopfully merger, the need arises to create a work methodology to be able to define the guidelines and procedures to carry out a successful domain migration, unifying the domains of both companies. To do this, the applications that may be affected by these changes will be analyzed and the scenario that is currently in production will be recreated to carry out the relevant tests. This sandbox is composed of Google Workspace, Slack, Jira and Onelogin. To finish, the scripts of the applications necessary to automate the process as much as possible will be created/modified.

In this project, we are evaluating and optimizing a Kubernetes deployment in the environment of AWS Cloud, applying cloud best practices. Starting from AWS base recommendations, we are identifying and proposing fixes to potential weak points of a real-world cloud infrastructure hosting a distributed Kubernetes deployment, used by a cybersecurity company to deploy the core of a product to monitor security events within businesses' technological assets, providing SoC related services. This project reviews the most important points to consider when deploying in the cloud, in a generic way, setting a framework for production-ready application deployments, exportable to other companies. As an example, we are describing the experience of a real world company, during the development of its own cloud native product.

Hay datos que no sirven absolutamente de nada. Y, en cambio, hay otros que pueden salvar el día. En el mundo de la ingeniería del software esta pequeña diferencia puede implicar o ahorrar horas y horas de refactorizaciones y de quebraderos de cabeza. Controlamos nuestra salud mediante rigurosos análisis clínicos que toman métricas de nuestro cuerpo. ¿Cómo pretendemos velar por la salud de un programa, aplicación o servicio si no es de la misma forma? La capacidad de monitorización aumenta cada día, así como las herramientas para hacerlo se vuelven más fáciles y mejores. Pero la pregunta sigue siendo la misma: ¿Qué merece la pena monitorizar? En este trabajo de final de máster trataremos de dar e implementar una respuesta a esta pregunta para un sistema de descargas remotas de datos de tacógrafos influenciado por un ámbito laboral que conlleva sus propios requisitos y necesidades.

Durant ja fa molt temps, l'objectiu de la indústria automobilística ha estat permetre la reutilització d'aplicacions entre diferents Unitats de Control Electròniques per a crear un nou mercat per a solucions software, aconseguint així la possibilitat de tenir una solució més econòmica, amb més qualitat, escalabilitat i fiabilitat. Aquí és on l'estàndard d'AUTOSAR entra en l'equació del software d'automoció. Aquest treball final de grau mostrarà el desenvolupament d'un component software, complint tots els requisits d'AUTOSAR, per a un Body Control Module, seguint totes les etapes indicades dins el Software Engineering Group d'Automotive SPICE, mostrant així com es desenvolupa software a la indústria de l'automoció. For a long time now, the goal of the automotive sector, pushed by the main Original Equipment Manufacturers of the industry, has been enabling reuse of applications between different Electronic Control Units to enable a new market for software products, achieving a cheaper solution with a much higher quality, scalability and reliability. This is where the AUTOSAR standard comes into the automotive software equation. This thesis will follow the development of an AUTOSAR compliant software for a Body Control Module, following all the Automotive SPICE Software Engineering Group stages and therefore showing how the automotive industry makes software.

Durant aquest projecte l'autor ha estat treballant de pràctiques en un projecte d'una empresa internacional, aquest projecte tracta d'una aplicació on els clients podran gestionar els seus usuaris relacionats amb altres productes de l'empresa de forma més fàcil i visual i com que estem tractant amb dades confidencials les hem de protegir de possibles tercers que les vulguin robar, per tant, l'equip on està treballant l'autor se centra en la part de frontend del projecte, tant la DMZ com la UI. No solament veurem les tasques que s'aniran realitzant durant la duració de les pràctiques sinó que també ens centrarem per una part en la seguretat del codi i futures implementacions que es volen fer per tal de millorar l'experiència de l'usuari, com ara, el multitenancy. During this project the author has been working as an intern in a project of an international company, this project is about an application where customers will be able to manage their users related to the other products of the company in an easier and visual way and since we are dealing with confidential data we have to protect it from possible third parties who want to steal it, therefore the team which the author is working on focuses on the frontend part of the project, both the DMZ and the UI. We will not only see the tasks that will be carried out during the duration of the internship but we will also focus partly on the security of the code and future implementations that want to be done in order to improve the user experience, such as multitenancy.

L'objectiu principal d'aquest projecte de fi de grau consisteix a examinar les diferents funcions que ofereix OpenShift i avaluar-ne l'eficàcia per garantir la continuïtat del negoci en cas d'un desastre. A més, el projecte explorarà l'ús de clústers OpenShift replicats i entorns cloud, i investigarà els possibles reptes i solucions a l'hora d'implementar la recuperació de desastres als clústers OpenShift. The main objective of this bachelor project is to examine the various features offered by OpenShift and evaluate their effectiveness in ensuring business continuity in the event of a disaster. Additionally, the project will explore the use of replicated OpenShift clusters and cloud environments, and investigate the potential challenges and solutions when implementing disaster recovery on OpenShift clusters.

Due to recent industry needs, synergies between data science and software engineering are starting to be present in data science and engineering academic programs. Two synergies are: applying data science to manage the quality of the software (software analytics) and applying software engineering best practices in data science projects to ensure quality attributes such as maintainability and reproducibility. The lack of these synergies on academic programs have been argued to be an educational problem. Hence, it becomes necessary to explore how to teach software analytics and software engineering best practices in data science programs. In this context, we provide hands-on for conducting laboratories applying project-based learning in order to teach software analytics and software engineering best practices to data science students. We aim at improving the software engineering skills of data science students in order to produce software of higher quality by software analytics. We focus in two skills: following a process and software engineering best practices. We apply project-based learning as main teaching methodology to reach the intended outcomes. This teaching experience shows the introduction of project-based learning in a laboratory, where students applied data science and best software engineering practices to analyze and detect improvements in software quality. We carried out a case study in two academic semesters with 63 data science bachelor students. The students found the synergies of the project positive for their learning. In the project, they highlighted both utility of using a CRISP-DM data mining process and best software engineering practices like a software project structure convention applied to a data science project. This paper was partly funded by a teaching innovation project of ICE@UPC-BarcelonaTech (entitled ‘‘Audiovisual and digital material for data engineering, a teaching innovation project with open science’’), and the ‘‘Beatriz Galindo’’ Spanish Program BEA-GAL18/00064.

Building and maintaining production-grade ML-enabled components is a complex endeavor that goes beyond the current approach of academic education, focused on the optimization of ML model performance in the lab. In this paper, we present a project-based learning approach to teaching MLOps, focused on the demonstration and experience with emerging practices and tools to automatize the construction of ML-enabled components. We examine the design of a course based on this approach, including laboratory sessions that cover the end-to-end ML component life cycle, from model building to production deployment. Moreover, we report on preliminary results from the first edition of the course. During the present year, an updated version of the same course is being delivered in two independent universities; the related learning outcomes will be evaluated to analyze the effectiveness of project-based learning for this specific subject., Accepted in 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)

Context and motivation: AI-based systems (i.e., systems integrating some AI model or component) are becoming pervasive in society. A number of characteristics of AI-based systems challenge classical requirements engineering (RE) and raise questions yet to be answered. Question: This vision paper inquires the role that RE should play in the development of AI-based systems with a focus on three areas: roles involved, requirements’ scope and non-functional requirements. Principal Ideas: The paper builds upon the vision that RE shall become the cornerstone in AI-based system development and proposes some initial ideas and roadmap for these three areas. Contribution: Our vision is a step towards clarifying the role of RE in the context of AI-based systems development. The different research lines outlined in the paper call for further research in this area. This paper is part of the project TED2021-130923B-I00, funded by MCIN/AEI/10.13039/501100011033 and the European Union “NextGenera-tionEU”/PRTR.

The evaluation of Deep Learning (DL) models has traditionally focused on criteria such as accuracy, F1 score, and related measures. The increasing availability of high computational power environments allows the creation of deeper and more complex models. However, the computations needed to train such models entail a large carbon footprint. In this work, we study the relations between DL model architectures and their environmental impact in terms of energy consumed and CO2 emissions produced during training by means of an empirical study using Deep Convolutional Neural Networks. Concretely, we study: (i) the impact of the architecture and the location where the computations are hosted on the energy consumption and emissions produced; (ii) the trade-off between accuracy and energy efficiency; and (iii) the difference on the method of measurement of the energy consumed using software-based and hardware-based tools. This work has been supported by the Spanish project PID2020-117191RB-I00 funded by MCIN/AEI/10.13039/501100011033.

i The world of video games has become a really powerful industry during the last decades. With the rise of the video game industry, other niche markets appeared related to video games. One of those markets is the in-game goods selling. In most cases these things are not obtained by humans especially when massively sold but obtained by bots, which are executed for 24 hours with multiple game instances to maximize benefits for the seller. This thesis applies partial reverse engineering to a game called Dofus and its launcher in order to implement a custom client for the game. The custom client will automatically make the functions of the game launcher, the login handshake and server selection without human intervention. Moreover, detailed information about the launcher and the game network protocol will be explained and documented.

Nowadays, the efficient analysis and exploitation of genomic information is paramount to future advancements in the healthcare sector, such as better diagnosis techniques and the development of improved disease treatments. In the past decades, the exponential increase in the biological data production has fostered the development of more efficient genomic pipelines. For that, modern genome analysis requires better and more scalable algorithms, and improved high-performance implementations that can exploit current hardware accelerators. For most genome analysis pipelines, sequence mapping is one of the most computationally intensive and time-consuming processing stages. The ultimate goal of this work is to propose techniques to accelerate read mapping, leveraging novel algorithms and hardware vector extensions. In this thesis, we present a thorough performance characterization of the most widely-used genome-mapping tools and propose acceleration techniques that can effectively improve the performance of these tools. To that end, first, we identify the most time-consuming kernels, their performance bottlenecks, and the underlying causes of inefficiency. Afterwards, we design and implement an accelerated version of one of the most time-consuming steps: pairwise sequence alignment. For that, we propose to replace the classical dynamic-programming algorithm, used within these tools, with the recently proposed wavefront alignment algorithm (WFA). Moreover, we design and implement the first fully-vectorized version of the WFA, leveraging Intel's AVX2 and AVX-512 instructions, to further accelerate sequence-to-sequence alignment. As a result, we demonstrate that our vectorized WFA implementation outperforms the original scalar WFA implementation between 1.1x-2.4x. In turn, this renders speedups from 2.4x up to 826.7x compared to the most widely-used alignment algorithm, KSW2 (used within Minimap2 and Bwa-Mem2). We conclude that these tools can be significantly accelerated by selecting better algorithms (like the WFA) and leveraging fine-tuned implementations that can exploit hardware resources available in current high performance computing (HPC) processors.

L'objectiu principal d'aquest projecte és evolucionar i millorar un component software encarregat del càlcul de mètriques, factors i indicadors de qualitat a partir de dades obtingudes de fonts diferents com ara gestors de projectes i gestors de versions de codi. També s'estudiarà la conveniencia de substituir el sistema d'accés i emmagatzemament d'aquestes dades. The main goal of this project is to evolve and improve a software component responsible for the calculus of metrics, factors and quality indicators from data obtained from different sources such as project management tools and version code management tools. Besides, the convenience of substituting the access and storage system of this data will be studied.

In the recent decades, the importance of software on space missions has notably increased, reflecting the need to integrate advanced on-board functionalities. With multicore processors being lately introduced to host critical high-performance applications, the complexity to validate software has significantly raised with respect to single core architectures. While there has been a big step forward in avionics after the publication of the CAST-32A paper, the ECSS-E-ST-40C software engineering standard used by the European Space Agency (ESA) is still not providing validation support for multicore processors. Hence, it is expected that standardising guidelines to develop software on such platforms will become a recurring topic in the industry to match the demands of future space exploration missions.

El uso de software científico se ha extendido ampliamente en investigación básica y aplicada. Para los científicos computacionales, esta práctica se complica al trabajar con software o código creado sin buenas prácticas de ingeniería de software. Considerando que muchos desarrolladores o usuarios de software científico no cuentan con una preparación formal en ingeniería de software afrontar este reto representa una tarea que demanda mucho esfuerzo e inversión de tiempo. Aquí se presenta una propuesta de ingeniería inversa para familiarizarse con un software científico. Se muestran los pasos para analizar la documentación y diseño del software e identificar mejoras potenciales. El proceso se ilustra utilizando PETGEM y se presentan los resultados más relevantes. Estas prácticas podrían ser de utilidad para usuarios sin experiencia en ingeniería de software que requieren ahondar en el código fuente, documentación, unidades de programación y las relaciones y dependencias explícitas y ocultas del diseño.

The concept of Web Applications and software in general is very present in our everyday lives, and from the consumer perspective it might seem simple, as we only see the final product. But, to develop this software, there is a lot going on behind the scenes that we do not see, in fact, building software continuously and with a certain level of quality is a very complex task and takes a lot of effort. In this project I aim to analyse and compare existing application development security models and tools, focusing on how they are applied to DevOps (Software Development and IT Operations). From the comparisons, I will choose the best model according to my opinion and I will apply the model to the implementation of web services and applications. After the implementation of the use case. At the end, I will discuss possible improvements and changes for the approach used to develop the application.