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Open Source Software (OSS) is a strategic asset for organisations thanks to its short time-to-market, the opportunity for a reduced development effort and total cost of ownership, and its customization capabilities. OSS-based solutions include projects that are developed and co-evolve within the same organisation, OSS communities, companies, and regulatory bodies, forming an articulated strategic business ecosystem. The adoption of OSS in commercial projects leads to numerous challenges in the wide spectrum of available OSS solutions and risks emerging from the intrinsic structure of an OSS project. In this position paper we devise the use of i* models for understanding the strategic perspective of OSS ecosystems, representing actors, intentional dependencies and responsibilities. We argue that these models can play a crucial role in the analysis of organisational risks inherent to OSS component adoption and in the definition of risk mitigation activities.

Adopting OSS products is becoming an economical and strategic need for today organizations. A fundamental part of successful adoption is the informed selection of OSS products that best fit the organization needs. One of the main current problems hampering OSS selection is the vast amount of unstructured, incomplete, evolvable and widespread information about OSS products that highly increases the risks of taking a wrong decision as well as the likelihood to deter the use of an OSS product. In this paper, based on marketing research principles, we aim to inform and provide evidence to OSS communities that help them to envisage improvements on their information rendering strategies to satisfy industrial OSS selectors’ needs. Our results are from the matching between the informational needs of 23 OSS selectors from diverse software-intensive organizations, and the in-depth study of 9 OSS communities of different sizes and domains. The results evidenced specific areas of improvement. It is a first step to raise the awareness of OSS communities and researchers on areas that are required to improve the industrial OSS selection practice.

El proceso de construir software a partir del ensamblaje e integración de soluciones de software pre-fabricadas, conocidas como componentes COTS (Comercial-Off-The-Shelf) se ha convertido en una necesidad estratégica en una amplia variedad de áreas de aplicación. En general, los componentes COTS son componentes de software que proveen una funcionalidad específica, que están disponibles en el mercado para ser adquiridos e integrados dentro de otros sistemas de software. Los beneficios potenciales de esta tecnología son principalmente la reducción de costes y el acortamiento del tiempo de desarrollo, a la vez que fomenta la calidad. Sin embargo, numerosos retos que van desde problemas técnicos y legales deben ser afrontados para adaptar las actividades tradicionales de ingeniería de software para explotar los beneficios del uso de COTS para el desarrollo de sistemas.Actualmente, existe un incrementalmente enorme mercado de componentes COTS; así, una de las actividades más críticas en el desarrollo de sistemas basados en COTS es la selección de componentes que deben ser integrados en el sistema a desarrollar. La selección está básicamente compuesta de dos procesos principales: La búsqueda de componentes candidatos en el mercado y su posterior evaluación con respecto a los requisitos del sistema. Desafortunadamente, la mayoría de los métodos existentes para seleccionar COTS, se enfocan en el proceso de evaluación, dejando de lado el problema de buscar los componentes en el mercado. La búsqueda de componentes en el mercado no es una tarea trivial, teniendo que afrontar varias características del mercado de COTS, tales como su naturaleza dispersa y siempre creciente, cambio y evolución constante; en este contexto, la obtención de información de calidad acerca de los componentes no es una tarea fácil. Como consecuencia, el proceso de selección de COTS se ve seriamente dañado. Además, las alternativas tradicionales de reuso también carecen de soluciones apropiadas para reusar componentes COTS y el conocimiento adquirido en cada proceso de selección. Esta carencia de propuestas es un problema muy serio que incrementa los riesgos de los proyectos de selección de COTS, además de hacerlos ineficientes y altamente costosos. Esta disertación presenta el método GOThIC (Goal- Oriented Taxonomy and reuse Infrastructure Construction) enfocado a la construcción de infraestructuras de reuso para facilitar la búsqueda y reuso de componentes COTS. El método está basado en el uso de objetivos para construir taxonomías abstractas, bien fundamentadas y estables para lidiar con las características del mercado de COTS. Los nodos de las taxonomías son caracterizados por objetivos, sus relaciones son declaradas como dependencias y varios artefactos son construidos y gestionados para promover la reusabilidad y lidiar con la evolución constante.El método GOThIC ha sido elaborado a través de un proceso iterativo de investigación-acción para identificar los retos reales relacionados con el proceso de búsqueda de COTS. Posteriormente, las soluciones posibles fueron evaluadas e implementadas en varios casos de estudio en el ámbito industrial y académico en diversos dominios. Los resultados más relevantes fueron registrados y articulados en el método GOThIC. La evaluación industrial preliminar del método se ha llevado a cabo en algunas compañías en Noruega., The process of building software systems by assembling and integrating pre-packaged solutions in the form of Commercial-Off-The-Shelf (COTS) software components has become a strategic need in a wide variety of application areas. In general, COTS components are software components that provide a specific functionality, available in the market to be purchased, interfaced and integrated into other software systems. The potential benefits of this technology are mainly its reduced costs and shorter development time, while maintaining the quality. Nevertheless, many challenges ranging form technical to legal issues must be faced for adapting the traditional software engineering activities in order to exploit these benefits.Nowadays there is an increasingly huge marketplace of COTS components; therefore, one of the most critical activities in COTS-based development is the selection of the components to be integrated into the system under development. Selection is basically composed of two main processes, namely: searching of candidates from the marketplace and their evaluation with respect to the system requirements. Unfortunately, most of the different existing methods for COTS selection focus their efforts on evaluation, letting aside the problem of searching components in the marketplace. Searching candidate COTS is not an easy task, having to cope with some challenging marketplace characteristics related to its widespread, evolvable and growing nature; and the lack of available and well-suited information to obtain a quality-assured search. Indeed, traditional reuse approaches also lack of appropriate solutions to reuse COTS components and the knowledge gained in each selection process. This lack of proposals is a serious drawback that makes the whole selection process highly risky, and often expensive and inefficient. This dissertation introduces the GOThIC (Goal- Oriented Taxonomy and reuse Infrastructure Construction) method aimed at building a domain reuse infrastructure for facilitating COTS components searching and reuse. It is based on goal-oriented approaches for building abstract, well-founded and stable taxonomies capable of dealing with the COTS marketplace characteristics. Thus, the nodes of these taxonomies are characterized by means of goals, their relationships declared as dependencies among them and several artifacts are constructed and managed for reusability and evolution purposes. The GOThIC method has been elaborated following an iterative process based on action research premises to identify the actual challenges related to COTS components searching. Then, possible solutions were envisaged and implemented by several industrial and academic case studies in different domains. Successful results were recorded to articulate the synergic GOThIC method solution, followed by its preliminary industrial evaluation in some Norwegian companies.

In a previous work, our research group GESSI has proposed the construction of a taxonomy for classifying COTS components by means of characterization attributes to arrange domains which COTS components belong to, and also grouping these domains into categories [4]. In this report we present our first applicability study of GBRAM (Goal Based-Requirements Analysis Method) as a goal-based reasoning method for the construction of taxonomies of COTS components; more concretely for exploring the “characterization attributes” that are used to browse the taxonomy through an example: the context of the Application Development Tools. We illustrate the main aspects of customizing GBRAM to this objective and remark the methodological aspect we want to achieve in our future work: to propose guidelines for the construction of any taxonomy of COTS components.

The core of this research is aimed at improving the building taxonomies issues in the context of the GESSI proposal, through the start of a new line of research for analyzing in depth those aspects concerned with formal methodologies for supporting and enhancing our proposal. This is the scope of this work of research, to show many topics that we think that can be helpful for our research work in the framework of the projects that are on going in GESSI.

Este artículo presenta un procedimiento detallado para la construcción de una taxonomía de componentes COTS en el área de Ingeniería de Requisitos (IR). La taxonomía e información resultante aporta beneficios trascendentales para la selección de herramientas y sistemas que asistan a los actores involucrados en el proceso de IR a simplificar sus diversas labores. La taxonomía es construida mediante un enfoque orientado a metas inspirado en GBRAM (Goal-Based Requirements Analysis Method), llamdao GBTCM (Goal-Based Taxonomy Construction Method), que nos proporciona una guía general para el análisis de las fuentes de información y modelado de requisitos y dominios; así como la recopilación y organización del conocimiento relativo a cualquier dominio del mercado de COTS. GBTCM pretende impulsar la reutilización de requisitos y estándares de Ingeniería del Software, con la finalidad de dar soporte en diferentes procesos de selección e integración de componentes.

Los modelos orientados a objetivos son usados frecuentemente en disciplinas tales como la ingeniería de requisitos o el modelado de procesos en organizaciones. i* es una de las notaciones más empleadas para construir este tipo de modelos. Desafortunadamente, no existe una definición única de i* sino diferentes versiones y variantes que, con frecuencia, no están totalmente definidas dificultando su comprensión y utilización. En este artículo, se presenta un estudio comparativo de las tres variantes más utilizadas de i*: la propuesta original de Eric Yu, el lenguaje GRL y el lenguaje utilizado en el método TROPOS. A continuación, se formula un modelo conceptual genérico como marco de referencia de las variantes estudiadas, se muestra cómo a partir de este modelo genérico pueden generarse los modelos específicos de cada una, y se evidencia que también puede usarse para clasificar algunas variantes puntuales que encontramos en la literatura.

Agent-oriented models are frequently used in disciplines such as requirements engineering and organizational process modelling. i* is currently one of the most widespread notations used for this purpose. Due to its strategic nature, instead of a single definition, there exist several versions and variants, often not totally defined and even contradictory. In this paper we present a comparative study of the three most widespread i* variants: Eric Yu’s seminal proposal, the Goal-oriented Requirement Language (GRL) and the language used in the TROPOS method. Next, we propose a generic conceptual model to be used as reference framework of these three variants and we show its use for generating specific models for the three mentioned variants, as well as for other existing proposals.

Software package selection plays a crucial role in the deployment of software systems. One of its main current problems is how to deal with the vast amount of unstructured, incomplete, evolvable and widespread information that highly increases the risks of taking a wrong decision. It could be said that nowadays there are not satisfactory solutions to that problem. In this paper, we propose an approach to systematically tackle these information quality problems by stating a reference model embracing quality indicators that facilitate the collection, storage, retrieval, analysis and reuse of information in a quality assurance environment. We illustrate it with a scenario of use that shows how this reference model may be used to support software package selection decision-making.

The inherent complexity of business goal-models is a challenge for organizations that has to analyze and maintaining them. Several approaches are developed to reduce the complexity into manageable limits, either by providing support to the modularization or designing metrics to monitor the complexity levels. These approaches are designed to identify an unusual complexity comparing it among models. In the present work, we expose two approaches based on structural characteristics of goal-model, which do not require these comparisons. The first one ranksthe importance of goalsto identify a manageable set of them that can be considered as a priority; the second one modularizes the model to reduce the effort to understand, analyze and maintain the model.