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Research paper at Second Intl. Workshop on Conducting Empirical Studies in Industry. CESI 2014 - An ICSE 2014 Workshop (2nd June 2014) http://www.essi.upc.edu/~franch/cesi2014/program.html

Software

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Monitoring the service-based system lifecycle with SALMon

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Increasing adoption of Open Source Software (OSS) requires a change in the or-ganizational culture and reshaping IT decision-makers mindset. Adopting OSS software components introduces some risks that can affect the adopter organiza-tion’s business goals, therefore they need to be considered. To assess these risks, it is required to understand the socio-technical structures that interrelate the stake-holders in the OSS ecosystem, and how these structures may propagate the po-tential risks to them. In this paper, we study the connection between OSS adop-tion risks and OSS adopter organizations’ business goals . We propose a model-based approach and analysis framework that combines two existing frameworks: the i* framework to model and reason about business goals, and the RiskML no-tation to represent and analyse OSS adoption risks. We illustrate our approach with data drawn from an industrial partner organisation in a joint EU project.

Aligning Business Goals and Risks in OSS Adoption

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Presentación de la metodología de gestión de riesgos en la adopción de proyectos OSS y la plataforma software que integra toda la cadena de toma de decisiones, teneinendo en cuenta criterios tecnológicos y estratégicos. Incluyendo métodos para identificar, gestionar y mitigar riesgos asociados con la integración de software open source. El proyecto RISCOSS (FP7) provee una solución completa para habilitar que los desarrolladores de producto integren de manera segura software open source en sus desarrollos. La comunidad RISCOSS está abierta a contribuciones de terceros, para permitir el desarollo continuo tanto de la plataforma como de las metodologias, juntamente con los servicios y el producto comercial.

RISCOSS: Gestión del riesgo en proyectos open source (Open Expo Day2015)

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Open source software ecosystem modelling has emerged asan important research area in software engineering. Several models havebeen proposed to identify and analyse the complex relationships in OSS-ecosystems. However, there is a lack of formal models, methodologies,tool support, and standard notations for OSS-ecosystems. In this paperwe propose a general framework for support the OSS-ecosystems mod-elling process. This framework will allow the representation, synthesis,analysis, evaluation, and evolution of OSS-ecosystems. Design sciencemethodology is proposed to create several artefacts and investigatingthe suitability of these artefacts in the OSS-ecosystem context.

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Increasing adoption of Open Source Software (OSS) in information system engineering has led to the emergence of different OSS business strategies that affect and shape organizations’ business models. In this context, organizational modeling needs to reconcile efficiently OSS adoption strategies with business strategies and models. In this paper, we propose to embed all the knowledge about each OSS adoption strategy into an i* model that can be used in the intentional modeling of the organization. These models describe the consequences of adopting one such strategy or another: which are the business goals that are supported, which are the resources that emerge, etc. To this aim, we first enumerate the main existing OSS adoption strategies, next we formulate an ontology that comprises the activities and resources that characterise these strategies, then based on the experience of 5 industrial partners of the RISCOSS EU-funded project, we explore how these elements are managed in each strategy and formulate the corresponding model using the i* vframework.

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QuESo: a Quality Model for Open Source Software Ecosystems

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Software systems cannot be successful without taking non-functional requirements (NFRs) into account. But still there seems to be a lopsided emphasis on the functionality of the system, even though the functionality is not useful or usable when NFRs do not hold. MDD is not an exception to this rule. In this keynote, we will first analyse the state of the art in MDD with respect to NFR treatment. Next, we will reflect on the possible ways to fit NFRs in the MDD process and the consequences of each alternative. At the end, we will discuss a research agenda. Based on research done with other members of the GESSI group in collaboration with other research teams

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Dolors Costal, Daniel Gross, Lidia Lopez, Mirko Morandini, Alberto Siena, Angelo Susi: Quantifying the Impact of OSS Adoption Risks with the help of i* Models. 7th i* Int. Workshop held at CAiSE 2014. Paper at http://ceur-ws.org/Vol-1157/paper10.pdf. Adopting Open Source Software (OSS) components in or ganisational settings requires evaluating the possible impact of adoption decisions on business goals. Measures available in OSS, capturing indicators such as the quality of open source code and the activeness of the developing community, can be used as a driver to assess various risks in component adoption. In this paper we illustrate how risk and impact models are used to relate measures obtained from the component under analysis to business goals in i* -based OSS business strategy models.

Quantifying the Impact of OSS Adoption Risks with the help of i* Models

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Lidia López, Xavier Franch: Applying Business Strategy Models in Organizations. 7th i* Int. Workshop held at CAiSE 2014. Paper at http://ceur-ws.org/Vol-1157/paper6.pdf. Abstract. Increasing adoption of Open Source Software (OSS) in information system engineering has led to the emergence of different OSS business strategies that affect and shape organizations’ business models. In order to obtain the specific organizational model for a concrete organization that is adhering to a specific OSS business strategy, we need to instantiate the general knowledge included in this business strategy. This paper describe the process in which this general knowledge is instantiated and define a set of operations over i* models to implement the instantiation concept. Although conceived in the field of OSS, the approach is generalizable to any kind of business strategy.

Applying Business Strategy Models in Organizations

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Nowadays services as those provided by smart cities, health smart services, as well as common services (e.g., telephonic services, e-mail services), have a great economic impact for organisations and represent an important mean to deliver value to their consumers. The malfunctions of both the services themselves as well as the entities responsible for their execution and consumption might cause economic losses, consumers’ dissatisfaction and even shorten the service life cycle, among other risks. To avoid malfunctions beyond maintaining quality levels desired, it is important to take into account the widest possible context information that cause either positive or negative effects around services and entities involved in their provisioning and consumption. In this paper, we propose an upper ontology for service provisioning and consumption from a service-centric perspective. Specifically, we focus on software services, although we could argue for more generic applications. The contribution is the analysis, evaluation and reuse of existing proposals on context models to identify the strengths and weaknesses of its current status as well as to identify contexts not yet considered, and consolidate an integrated view of these proposals. The ultimate intention is to provide a well-defined and consolidated infrastructure of context information as a common body of knowledge, that could be instantiated on variety of use cases, for example, to be instantiated by monitors as context information useful to be monitored, or to be used as context information that allows knowing which contexts affect a service when a user consumes it, among others.

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Practical Experiences in Designing and Conducting Empirical Studies in Indust...

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The quality of Open Source Software products is directly related to its community’s health. To date, health analysis is made accessing available data repositories or using software management tools that are often too static or ad hoc. To address this issue, we propose to adopt principles and methods from the Service Oriented Computing field. Particularly, we propose to adapt the concepts of quality service and service level agreement, and propose to reuse the existing body of knowledge and techniques from SOC monitoring. To demonstrate the feasibility of the approach, we use a service monitoring framework called SALMonOSS as a proof of concept to realize the implementation of the proposal. ---- Presentation in RCIS 2014

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QuESo: a Quality Model for Open Source Software Ecosystems

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A Context Ontology for Service Provisioning and Consumption

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