Paper accepted at the 10th International i* Workshop (iStar 2017)

Dealing with Goal Models Complexity using Topological Metrics and Algorithms

Lucía Méndez Tapia, Lidia López , Claudia P. Ayala

Abstract. 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.

Co-located to the 29th International Conference on Advanced Information Systems Engineering.

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