iStar 2017 workshop at CAiSE

This year I'm organising the International Workshop of i* jointly to Lin Liu and Sepideh Ghanavati. You can find the workshop details at iStar17 website.

The workshop will be co-located to the 29th International Conference on Advanced Information Systems Engineering (CAiSE'17).

Q-Rapids European Research Project starts

Q-Rapids: Quality-aware rapid software development

H2020 (H2020-ICT-2016-1, Software Technologies)

The 3-year Q-Rapids defines an empirical-based, data-driven quality-aware rapid software development methodology.

Quality Requirements (QRs) are incrementally elicited and refined based on data gathered both during development and at runtime. This data is elaborated into quality-related key indicators presented to decision makers through a strategic dashboard with advanced capabilities. Selected QRs are integrated with functional requirements for their unified treatment in the rapid software development process.

More information at www.q-rapids.eu

Today arrived a printed copy of my first book chapter

Surprisingly, yesterday arrived a printed copy of my first book chapter. I'm not sure who send it to me, so I don't know who to thank you.

The i* framework for goal-oriented modeling

Xavier Franch, Lidia Lopez, Carlos Cares and Daniel Colomer

Abstract. i* is a widespread framework in the software engineering field that supports goal-oriented modeling of socio-technical systems and organizations. At its heart lies a language offering concepts such as actor, dependency, goal and decomposition. i* models resemble a network of interconnected, autonomous, collaborative and dependable strategic actors. Around this language, several analysis techniques have emerged, e.g. goal satisfaction analysis and metrics computation. In this work, we present a consolidated version of the i* language based on the most adopted versions of the language. We define the main constructs of the language and we articulate them in the form of a metamodel. Then, we implement this version and a concrete technique, goal satisfaction analys is based on goal propagation, using ADOxx. Throughout the chapter, we used an example based on open source software adoption to illustrate the concepts and test the implementation.

ISBN: 978-3-319-39416-9 (Print) 978-3-319-39417-6 (Online)

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-39417-6

Three papers accepted in the i* International Workshop (iStar 2016)

An Empirical Evaluation Roadmap for iStar 2.0

Lidia López, Fatma Başak Aydemir, Fabiano Dalpiaz and Jennifer Horkoff

Towards iStarML 2.0: Closing Gaps from Evolved Requirements

Carlos Cares and Lidia López

iStarJSON: A Lightweight Data-Format for i* Models

Oscar Franco-Bedoya, David Ameller, Dolors Costal and Lidia López

Paper accepted in the Information Systems Journal (my first Q1!!!!!!!!)

Verifying Goal-Oriented Specifications Used in Model-Driven Development Processes Giovanni Giachetti , Beatriz Marín, Lidia López, Xavier Franch, and Oscar Pastor

Summary. Goal-oriented requirements engineering promotes the use of goals to elicit, elaborate, structure, specify, analyze, negotiate, document and modify requirements. Thus, goal-oriented specifications are essential to capture the objectives that the system to be developed should achieve. However, the application of goal-oriented specifications into Model-Driven Development (MDD) processes is still handcrafted, not aligned in the automated flow from models to code. In other words, it is necessary the experience of analysts and designers to manually transform the input goal-oriented models into system models for code generation (models compilation). Some authors have proposed guidelines to facilitate and partially automate this translation, but there is a lack of techniques to assess the adequacy of goal-oriented models as starting point of MDD processes. In this paper, we present and evaluate a verification approach that guarantees the automatic, correct and complete transformation of goal-oriented models into design models used by specific MDD solutions. In particular, this approach has been put into practice by adopting a well-known goal-oriented modeling approach, the i* framework, and an industrial MDD solution called Integranova.