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1,572 results on '"Pahl, Claus"'

2. Are Architecture Design Decisions in Distributed Teams Supported by Tools?

Author

Adil, Mahum, Fronza, Ilenia, Sievi-Korte, Outi, Pahl, Claus, van der Aalst, Wil, Series Editor, Ram, Sudha, Series Editor, Rosemann, Michael, Series Editor, Szyperski, Clemens, Series Editor, Guizzardi, Giancarlo, Series Editor, Filipe, Joaquim, editor, Śmiałek, Michał, editor, Brodsky, Alexander, editor, and Hammoudi, Slimane, editor

Published
2024
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3. Keeping Fun Alive: an Experience Report on Running Online Coding Camps

Author

Fronza, Ilenia, Corral, Luis, Wang, Xiaofeng, and Pahl, Claus

Subjects
Computer Science - Software Engineering
Abstract

The outbreak of the COVID-19 pandemic prohibited radically the collocation and face-to-face interactions of participants in coding bootcamps and similar experiences, which are key characteristics that help participants to advance technical work. Several specific issues are faced and need to be solved when running online coding camps, which can achieve the same level of positive outcomes for participants. One of such issues is how to keep the same level of fun that participants obtained through physical activities and interactions in the face-to-face settings. In this paper, we report on our experience and insights gained from designing and running a fully remote coding camp that exposes high school students to Agile-based Software Engineering practices to enhance their ability to develop high-quality software. To design the online coding camp, we adapted the face-to-face version of the coding camp to keep the same "level of fun", i.e., adaptations aimed at increasing communication, engaging participants, and introducing fun items to reduce fatigue due to prolonged computer use, while preserving the technical curriculum that enables students to attain the learning goals originally planned. The comparison with the results of the face-to-face coding camp shows that we succeeded in keeping the fun alive in the online edition, and the participants of online camp were able to produce the results at the same level of quality in terms of product and process as in the face-to-face edition. From our experience, we synthesize lessons learned, and we sketch some guidelines for educators.

Published
2022
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4. An Approach to Evaluate the Complexity of Block-Based Software Product

Author

Fronza, Ilenia, Corral, Luis, and Pahl, Claus

Abstract

Computer programming skills have been growing as a professional competence also to unqualified end-users who need to develop software in their professional practice. Quality evaluation models of end-user-developed products are still scarce. In this paper, we propose a metric that leverages "When", a condition typically found in block-based software development frameworks. We evaluated 80 Scratch projects collecting a metric related to the presence of the "When" condition and investigated common traits and differentiation with other metrics already proposed in the literature. We found that, in an evaluation with respect to the conditionals found in Scratch projects, "When" delivers a distinct and complementary approach to software complexity in products developed using block-oriented software development tools.

Published
2020

5. An Investigation of Scalability for Blockchain-Based E-Voting Applications

Author

Hajian Berenjestanaki, Mohammad, Barzegar, Hamid R., El Ioini, Nabil, Pahl, Claus, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Machado, José Manuel, editor, Prieto, Javier, editor, Vieira, Paulo, editor, Peixoto, Hugo, editor, Abelha, António, editor, Arroyo, David, editor, and Vigneri, Luigi, editor

Published
2023
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7. Developing Self-Adaptive Microservice Systems: Challenges and Directions

Author

Mendonca, Nabor C., Jamshidi, Pooyan, Garlan, David, and Pahl, Claus

Subjects
Computer Science - Software Engineering
Abstract

A self-adaptive system can dynamically monitor and adapt its behavior to preserve or enhance its quality attributes under uncertain operating conditions. This article identifies key challenges for the development of microservice applications as self-adaptive systems, using a cloud-based intelligent video surveillance application as a motivating example. It also suggests potential new directions for addressing most of the identified challenges by leveraging existing microservice practices and technologies., Comment: 8 pages, 1 figure

Published
2019
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8. Continuous Architecting with Microservices and DevOps: A Systematic Mapping Study

Author

Taibi, Davide, Lenarduzzi, Valentina, and Pahl, Claus

Subjects
Computer Science - Software Engineering
Abstract

Context: Several companies are migrating their information systems into the Cloud. Microservices and DevOps are two of the most common adopted technologies. However, there is still a lack of understanding how to adopt a microservice-based architectural style and which tools and technique to use in a continuous architecting pipeline. Objective: We aim at characterizing the different microservice architectural style principles and patterns in order to map existing tools and techniques adopted in the context of DevOps. Methodology: We conducted a Systematic Mapping Study identifying the goal and the research questions, the bibliographic sources, the search strings, and the selection criteria to retrieve the most relevant papers. Results: We identified several agreed microservice architectural principles and patterns widely adopted and reported in 23 case studies, together with a summary of the advantages, disadvantages, and lessons learned for each pattern from the case studies. Finally, we mapped the existing microservices-specific techniques in order to understand how to continuously deliver value in a DevOps pipeline. We depicted the current research, reporting gaps and trends. Conclusion: Different patterns emerge for different migration, orchestration, storage and deployment settings. The results also show the lack of empirical work on microservices-specific techniques, especially for the release phase in DevOps., Comment: this paper was mistakenly uploaded as arXiv:1908.04101v2, which has been subsequently replaced to the correct state

Published
2019
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9. Right Scaling for Right Pricing: A Case Study on Total Cost of Ownership Measurement for Cloud Migration

Author

Rosati, Pierangelo, Fowley, Frank, Pahl, Claus, Taibi, Davide, and Lynn, Theo

Subjects
Computer Science - Software Engineering
Abstract

Cloud computing promises traditional enterprises and independent software vendors a myriad of advantages over on-premise installations including cost, operational and organizational efficiencies. The decision to migrate software configured for on-premise delivery to the cloud requires careful technical consideration and planning. In this chapter, we discuss the impact of right-scaling on the cost modelling for migration decision making and price setting of software for commercial resale. An integrated process is presented for measuring total cost of ownership, taking in to account IaaS/PaaS resource consumption based on forecast SaaS usage levels. The process is illustrated with a real world case study.

Published
2019
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10. Microservices Anti Patterns: A Taxonomy

Author

Taibi, Davide, Lenarduzzi, Valentina, and Pahl, Claus

Subjects
Computer Science - Software Engineering
Abstract

Several companies are re-architecting their monolithic information systems with microservices. However, many companies migrated without experience on microservices, mainly learning how to migrate from books or from practitioners' blogs. Because of the novelty of the topic, practitioners and consultancy are learning by doing how to migrate, thus facing several issues but also several benefits. In this chapter, we introduce a catalog and a taxonomy of the most common microservices anti-patterns in order to identify common problems. Our anti-pattern catalogue is based on the experience summarized by different practitioners we interviewed in the last three years. We identified a taxonomy of 20 anti-patterns, including organizational (team oriented and technology/tool oriented) anti-patterns and technical (internal and communication) anti-patterns. The results can be useful to practitioners to avoid experiencing the same difficult situations in the systems they develop. Moreover, researchers can benefit of this catalog and further validate the harmfulness of the anti-patterns identified., Comment: Microservices - Science and Engineering Springer 2019

Published
2019

13. Fuzzy Container Orchestration for Self-adaptive Edge Architectures

Author

Gand, Fabian, Fronza, Ilenia, El Ioini, Nabil, Barzegar, Hamid R., Azimi, Shelernaz, Pahl, Claus, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Ferguson, Donald, editor, Pahl, Claus, editor, and Helfert, Markus, editor

Published
2021
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15. 5G-CARMEN: Service Continuity in 5G-Enabled Edge Clouds

Author

Barzegar, Hamid R., Ioini, Nabil El, Le, Van Thanh, Pahl, Claus, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Zirpins, Christian, editor, Paraskakis, Iraklis, editor, Andrikopoulos, Vasilios, editor, Kratzke, Nane, editor, Pahl, Claus, editor, El Ioini, Nabil, editor, Andreou, Andreas S., editor, Feuerlicht, George, editor, Lamersdorf, Winfried, editor, Ortiz, Guadalupe, editor, Van den Heuvel, Willem-Jan, editor, Soldani, Jacopo, editor, Villari, Massimo, editor, Casale, Giuliano, editor, and Plebani, Pierluigi, editor

Published
2021
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16. Virtual Machine Placement for Edge and Cloud Computing

Author

Partovi, Behdad, Bagheri, Alireza, Kazarji, Maryam Haddad, Pahl, Claus, Barzegar, Hamid R., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Zirpins, Christian, editor, Paraskakis, Iraklis, editor, Andrikopoulos, Vasilios, editor, Kratzke, Nane, editor, Pahl, Claus, editor, El Ioini, Nabil, editor, Andreou, Andreas S., editor, Feuerlicht, George, editor, Lamersdorf, Winfried, editor, Ortiz, Guadalupe, editor, Van den Heuvel, Willem-Jan, editor, Soldani, Jacopo, editor, Villari, Massimo, editor, Casale, Giuliano, editor, and Plebani, Pierluigi, editor

Published
2021
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17. Platforms for Serverless at the Edge: A Review

Author

El Ioini, Nabil, Hästbacka, David, Pahl, Claus, Taibi, Davide, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Zirpins, Christian, editor, Paraskakis, Iraklis, editor, Andrikopoulos, Vasilios, editor, Kratzke, Nane, editor, Pahl, Claus, editor, El Ioini, Nabil, editor, Andreou, Andreas S., editor, Feuerlicht, George, editor, Lamersdorf, Winfried, editor, Ortiz, Guadalupe, editor, Van den Heuvel, Willem-Jan, editor, Soldani, Jacopo, editor, Villari, Massimo, editor, Casale, Giuliano, editor, and Plebani, Pierluigi, editor

Published
2021
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18. Edge Computing Simulation Platforms: A Technology Survey

Author

Van Le, Thanh, Ioini, Nabil El, Pahl, Claus, Barzegar, Hamid R., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Zirpins, Christian, editor, Paraskakis, Iraklis, editor, Andrikopoulos, Vasilios, editor, Kratzke, Nane, editor, Pahl, Claus, editor, El Ioini, Nabil, editor, Andreou, Andreas S., editor, Feuerlicht, George, editor, Lamersdorf, Winfried, editor, Ortiz, Guadalupe, editor, Van den Heuvel, Willem-Jan, editor, Soldani, Jacopo, editor, Villari, Massimo, editor, Casale, Giuliano, editor, and Plebani, Pierluigi, editor

Published
2021
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20. A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling

Author

Arabnejad, Hamid, Pahl, Claus, Jamshidi, Pooyan, and Estrada, Giovani

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence
Abstract

A goal of cloud service management is to design self-adaptable auto-scaler to react to workload fluctuations and changing the resources assigned. The key problem is how and when to add/remove resources in order to meet agreed service-level agreements. Reducing application cost and guaranteeing service-level agreements (SLAs) are two critical factors of dynamic controller design. In this paper, we compare two dynamic learning strategies based on a fuzzy logic system, which learns and modifies fuzzy scaling rules at runtime. A self-adaptive fuzzy logic controller is combined with two reinforcement learning (RL) approaches: (i) Fuzzy SARSA learning (FSL) and (ii) Fuzzy Q-learning (FQL). As an off-policy approach, Q-learning learns independent of the policy currently followed, whereas SARSA as an on-policy always incorporates the actual agent's behavior and leads to faster learning. Both approaches are implemented and compared in their advantages and disadvantages, here in the OpenStack cloud platform. We demonstrate that both auto-scaling approaches can handle various load traffic situations, sudden and periodic, and delivering resources on demand while reducing operating costs and preventing SLA violations. The experimental results demonstrate that FSL and FQL have acceptable performance in terms of adjusted number of virtual machine targeted to optimize SLA compliance and response time.

Published
2017

21. A Containerized Edge Cloud Architecture for Data Stream Processing

Author

Scolati, Remo, Fronza, Ilenia, El Ioini, Nabil, Samir, Areeg, Barzegar, Hamid Reza, Pahl, Claus, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Ferguson, Donald, editor, Méndez Muñoz, Víctor, editor, Pahl, Claus, editor, and Helfert, Markus, editor

Published
2020
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23. The Effect of IoT Data Completeness and Correctness on Explainable Machine Learning Models

Author

Azimi, Shelernaz, Pahl, Claus, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Strauss, Christine, editor, Kotsis, Gabriele, editor, Tjoa, A Min, editor, and Khalil, Ismail, editor

Published
2021
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24. Self-Learning Cloud Controllers: Fuzzy Q-Learning for Knowledge Evolution

Author

Jamshidi, Pooyan, Sharifloo, Amir, Pahl, Claus, Metzger, Andreas, and Estrada, Giovani

Subjects
Computer Science - Systems and Control, Computer Science - Artificial Intelligence, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Learning, Computer Science - Software Engineering, I.2.6, D.2.11
Abstract

Cloud controllers aim at responding to application demands by automatically scaling the compute resources at runtime to meet performance guarantees and minimize resource costs. Existing cloud controllers often resort to scaling strategies that are codified as a set of adaptation rules. However, for a cloud provider, applications running on top of the cloud infrastructure are more or less black-boxes, making it difficult at design time to define optimal or pre-emptive adaptation rules. Thus, the burden of taking adaptation decisions often is delegated to the cloud application. Yet, in most cases, application developers in turn have limited knowledge of the cloud infrastructure. In this paper, we propose learning adaptation rules during runtime. To this end, we introduce FQL4KE, a self-learning fuzzy cloud controller. In particular, FQL4KE learns and modifies fuzzy rules at runtime. The benefit is that for designing cloud controllers, we do not have to rely solely on precise design-time knowledge, which may be difficult to acquire. FQL4KE empowers users to specify cloud controllers by simply adjusting weights representing priorities in system goals instead of specifying complex adaptation rules. The applicability of FQL4KE has been experimentally assessed as part of the cloud application framework ElasticBench. The experimental results indicate that FQL4KE outperforms our previously developed fuzzy controller without learning mechanisms and the native Azure auto-scaling.

Published
2015

25. End-User Software Development: Effectiveness of a Software Engineering-Centric Instructional Strategy

Author

Fronza, Ilenia, Corral, Luis, and Pahl, Claus

Abstract

Aim/Purpose: This work aims to introduce and evaluate an instructional strategy that aids end-users with developing their software products during intensive project-based events. Background: End-users produce software in the labor market, and one of the challenges for End-User Software Engineering (EUSE) is the need to create functional software products without a formal education in software development. Methodology: In this work, we present an instructional strategy to expose end-users to Agile-based Software Engineering (SE) practices and enhance their ability to developing high-quality software. Moreover, we introduce a SE approach for the collection of metrics to assess the effectiveness of the instructional strategy. We conducted two case studies to validate the effectiveness of our strategy; the comprehensive analysis of the outcome products evaluates the strategy and demonstrates how to interpret the collected metrics. Contribution: This work contributes to the research and practitioner body of knowledge by leveraging SE centric concepts to design an instructional strategy to lay the foundations of SE competencies in inexperienced developers. This work presents an instructional strategy to develop SE competencies through an intensive and time-bound structure that may be replicated. Moreover, the present work introduces a framework to evaluate these competencies from a product-centric approach, specialized for non-professional individuals. Finally, the framework contributes to understanding how to assess software quality when the software product is written in non-conventional, introductory programming languages. Findings: The results show the effectiveness of our instructional strategy: teams were successful in constructing a working software product. However, participants did not display a good command of source code order and structure. Recommendations for Practitioners: Our instructional strategy provides practitioners with a framework to lay foundations in SE competencies during intensive project-based events. Based on the results of our case studies, we provide a set of recommendations for educational practice. Recommendation for Researchers: We propose an assessment framework to analyze the effectiveness of the instructional strategy from a SE perspective. This analysis provides an overall picture of the participants' performance; other researchers could use our framework to evaluate the effectiveness of their activities, which would contribute to increasing the possibility of comparing the effectiveness of different instructional strategies. Impact on Society: Given the number of end-user developers who create software products without a formal SE training, several professional and educational contexts can benefit from our proposed instructional strategy and assessment framework. Future Research: Further research can focus on improving the assessment framework by including both process and product metrics to shed light on the effectiveness of the instructional strategies.

Published
2020
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29. Agile Methods Make It to Non-vocational High Schools

Author

Fronza, Ilenia, Pahl, Claus, Sušanj, Boris, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Lane, H. Chad, editor, Zvacek, Susan, editor, and Uhomoibhi, James, editor

Published
2020
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30. Microservices Anti-patterns: A Taxonomy

Author

Taibi, Davide, Lenarduzzi, Valentina, Pahl, Claus, Bucchiarone, Antonio, editor, Dragoni, Nicola, editor, Dustdar, Schahram, editor, Lago, Patricia, editor, Mazzara, Manuel, editor, Rivera, Victor, editor, and Sadovykh, Andrey, editor

Published
2020
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32. The Benefits of Using Experimental Exploration for Cloud Migration Analysis and Planning

Author

Fowley, Frank, Elango, Divyaa Manimaran, Magar, Hany, Pahl, Claus, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Ferguson, Donald, editor, Muñoz, Víctor Méndez, editor, Cardoso, Jorge, editor, Helfert, Markus, editor, and Pahl, Claus, editor

Published
2018
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33. Security Evaluation in Software-Defined Networks

Author

van Steen, Maarten, Ferguson, Donald, Pahl, Claus, Ivkic, Igor, Thiede, Dominik, Race, Nicholas, Broadbent, Matthew, Gouglidis, Antonios, van Steen, Maarten, Ferguson, Donald, Pahl, Claus, Ivkic, Igor, Thiede, Dominik, Race, Nicholas, Broadbent, Matthew, and Gouglidis, Antonios

Abstract

Cloud computing has grown in importance in recent years which has led to a significant increase in Data Centre (DC) network requirements. A major driver of this change is virtualisation, which allows computing resources to be deployed on a large scale. However, traditional DCs, with their network topology and proliferation of network endpoints, are struggling to meet the flexible, centrally managed requirements of cloud computing applications. Software-Defined Networks (SDN) promise to offer a solution to these growing networking requirements by separating control functions from data routing. This shift adds more flexibility to networks but also introduces new security issues. This article presents a framework for evaluating security of SDN architectures. In addition, through an experimental study, we demonstrate how this framework can identify the threats and vulnerabilities, calculate their risks and severity, and provide the necessary measures to mitigate them. The proposed framework helps administrators to evaluate SDN security, address identified threats and meet network security requirements.

Published
2024

34. Towards a Cloud-based Smart Office Solution for Shared Workplace Individualization

Author

van Steen, Maarten, Pahl, Claus, Hasiwar, Dominik, Gruber, Andreas, Dragschitz, Christian, Ivkic, Igor, van Steen, Maarten, Pahl, Claus, Hasiwar, Dominik, Gruber, Andreas, Dragschitz, Christian, and Ivkic, Igor

Abstract

In the evolving landscape of workplace dynamics, the shift towards hybrid working models has highlighted inefficiencies in the use of traditional office space and the need for an improved employee experience. In this position paper we propose a Smart Office solution that addresses these challenges by integrating a micro-service architecture with Internet of Things (IoT) technologies to provide a flexible, personalized workspace environment. The position paper focuses on the technical implementation of this solution, including the design of a Workplace Environment Index (WEI) to monitor and improve office conditions. By using cloud technology, IoT devices with sensors, and following a user-centred design, the proposed solution shows how Shared Open Workspaces can be transformed into adaptive, efficient environments that support the diverse needs of the modern workforce. This position paper paves the way for future experimentation in real-world office environments to validate the effectiveness of the Smart Office solution and provide insights into its potential to redefine the workplace for improved productivity and employee satisfaction.

Published
2024

35. Towards a Cost-Benefit Analysis of Additive Manufacturing as a Service

Author

van Steen, Maarten, Pahl, Claus, Ivkic, Igor, Buhmann, Tobias, List, Burkhard, Gnauer, Clemens, van Steen, Maarten, Pahl, Claus, Ivkic, Igor, Buhmann, Tobias, List, Burkhard, and Gnauer, Clemens

Abstract

The landscape of traditional industrial manufacturing is undergoing a pivotal shift from resource-intensive production and long supply chains to more sustainable and regionally focused economies. In this evolving scenario, the move towards local, on-demand manufacturing is emerging as a remedy to the environmentally damaging practice of mass-producing products in distant countries and then transporting them over long distances to customers. This paradigm shift significantly empowers customers, giving them greater control over the manufacturing process by enabling on-demand production and favouring local production sites over traditional mass production and extensive shipping practices. In this position paper we propose a cloud-native Manufacturing as a Service (MaaS) platform that integrates advances in three-dimensional (3D) printing technology into a responsive and eco-conscious manufacturing ecosystem. In this context, we propose a high-level architectural design for a cloud-based MaaS platform that connects web shops of local stores with small and medium-sized enterprises (SMEs) operating 3D printers. Furthermore, we outline an experimental design, including a cost-benefit analysis, to empirically evaluate the operational effectiveness and economic feasibility in a cloud-based additive manufacturing ecosystem. The proposed cloud-based MaaS platform enables on-demand additive manufacturing and opens up a profit sharing opportunity between different stakeholders.

Published
2024

36. The Case for Cloud Service Trustmarks and Assurance-as-a-Service

Author

Lynn, Theo, Healy, Philip, McClatchey, Richard, Morrison, John, Pahl, Claus, and Lee, Brian

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Computers and Society
Abstract

Cloud computing represents a significant economic opportunity for Europe. However, this growth is threatened by adoption barriers largely related to trust. This position paper examines trust and confidence issues in cloud computing and advances a case for addressing them through the implementation of a novel trustmark scheme for cloud service providers. The proposed trustmark would be both active and dynamic featuring multi-modal information about the performance of the underlying cloud service. The trustmarks would be informed by live performance data from the cloud service provider, or ideally an independent third-party accountability and assurance service that would communicate up-to-date information relating to service performance and dependability. By combining assurance measures with a remediation scheme, cloud service providers could both signal dependability to customers and the wider marketplace and provide customers, auditors and regulators with a mechanism for determining accountability in the event of failure or non-compliance. As a result, the trustmarks would convey to consumers of cloud services and other stakeholders that strong assurance and accountability measures are in place for the service in question and thereby address trust and confidence issues in cloud computing., Comment: 6 pages and 1 figure

Published
2014

38. Testing and Comparing the Performance of Cloud Service Providers Using a Service Broker Architecture

Author

Elango, Divyaa Manimaran, Fowley, Frank, Pahl, Claus, Barbosa, Simone Diniz Junqueira, Series Editor, Chen, Phoebe, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Mann, Zoltán Ádám, editor, and Stolz, Volker, editor

Published
2018
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39. An Ontology-Based Architecture for an Adaptable Cloud Storage Broker

Author

Elango, Divyaa Manimaran, Fowley, Frank, Pahl, Claus, Barbosa, Simone Diniz Junqueira, Series Editor, Chen, Phoebe, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Mann, Zoltán Ádám, editor, and Stolz, Volker, editor

Published
2018
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40. Cloud Migration Architecture and Pricing – Mapping a Licensing Business Model for Software Vendors to a SaaS Business Model

Author

Fowley, Frank, Pahl, Claus, Barbosa, Simone Diniz Junqueira, Series editor, Chen, Phoebe, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Yuan, Junsong, Series editor, Zhou, Lizhu, Series editor, Lazovik, Alexander, editor, and Schulte, Stefan, editor

Published
2018
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41. EthernityDB – Integrating Database Functionality into a Blockchain

Author

Helmer, Sven, Roggia, Matteo, Ioini, Nabil El, Pahl, Claus, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Benczúr, András, editor, Thalheim, Bernhard, editor, Horváth, Tomáš, editor, Chiusano, Silvia, editor, Cerquitelli, Tania, editor, Sidló, Csaba, editor, and Revesz, Peter Z., editor

Published
2018
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43. A Review of Distributed Ledger Technologies

Author

El Ioini, Nabil, Pahl, Claus, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Panetto, Hervé, editor, Debruyne, Christophe, editor, Proper, Henderik A., editor, Ardagna, Claudio Agostino, editor, Roman, Dumitru, editor, and Meersman, Robert, editor

Published
2018
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44. A Fuzzy Load Balancer for Adaptive Fault Tolerance Management in Cloud Platforms

Author

Arabnejad, Hamid, Pahl, Claus, Estrada, Giovani, Samir, Areeg, Fowley, Frank, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, De Paoli, Flavio, editor, Schulte, Stefan, editor, and Broch Johnsen, Einar, editor

Published
2017
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45. A Pathway into Computational Thinking in Primary Schools

Author

Djurdjevic-Pahl, Aleksandra, Pahl, Claus, Fronza, Ilenia, El Ioini, Nabil, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Wu, Ting-Ting, editor, Gennari, Rosella, editor, Huang, Yueh-Min, editor, Xie, Haoran, editor, and Cao, Yiwei, editor

Published
2017
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46. Change Support to Maintain Quality in Learning Technology Systems

Author

Pahl, Claus, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Wu, Ting-Ting, editor, Gennari, Rosella, editor, Huang, Yueh-Min, editor, Xie, Haoran, editor, and Cao, Yiwei, editor

Published
2017
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47. Software System Migration to Cloud-Native Architectures for SME-Sized Software Vendors

Author

Fowley, Frank, Elango, Divyaa Manimaran, Magar, Hany, Pahl, Claus, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Baier, Christel, editor, van den Brand, Mark, editor, Eder, Johann, editor, Hinchey, Mike, editor, and Margaria, Tiziana, editor

Published
2017
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50. How Did COVID-19 Impact Software Design Activities in Global Software Engineering — Systematic Review.

Author

Adil, Mahum, Fronza, Ilenia, and Pahl, Claus

Subjects
SOFTWARE architecture, DESIGN software, GROUPWARE (Computer software), SOFTWARE engineering, EVIDENCE gaps, COMPUTER software development
Abstract

Background: Global Software Engineering (GSE) extends geographical, temporal, and cultural boundaries in distributed environments. Over the past two decades, GSE research has evolved to manage software development for distributed teams. The COVID-19 pandemic highlights the need for comprehensive research, particularly during the software design phase, to support team collaboration in distributed development. Aim: This study systematically analyzes the evolution of research emphasis in the GSE field, specifically exploring on whether the research focuses increasing on software design due to the global pandemic. Method: We systematically analyzed the existing literature in two phases. In the first phase of our study, we mapped GSE research over the two decades leading to the pandemic (2000–2020). In the second phase, we used the forward snowballing approach to examine the literature on the software design phase published between 2020 and 2022. Results: The analysis of 592 research studies in the two phases reveals various trends in GSE research. Evaluation research is the most explored research type in methods and processes, and human aspects of development. Despite the paradigm shift caused by the COVID-19 pandemic that increased reliance on distributed teams, results show that while software organizations are extensively studied across all software engineering phases, the software design phase remains one of the least explored areas. Conclusion: This work highlights the evolving GSE research trends, emphasizing the rising significance of collaborative software design in distributed settings. Our findings address current research gaps and underscore the need for further research on software design activities. This contribution envisions a more collaborative, adaptable GSE field, guiding future research to support distributed teams. [ABSTRACT FROM AUTHOR]

Published
2024
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