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Baroni, A. L., M. Goulão, and F. B. Abreu, "Avoiding the Ambiguity of Quantitative Data Extraction: An Approach to Improve the Quality of Metrics Results", Work in Progress Session at the 28th EUROMICRO Conference, Dortmund, Germany, 2002. Abstract

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Araújo, J., M. Goulão, A. Moreira, I. Simão, V. Amaral, and E. Baniassad, "Advanced Modularity for Building SPL Feature Models: a Model-Driven Approach", 28th ACM Symposium on Applied Computing, Requirements Engineering Track, ACM-SAC 2013, Coimbra, Portugal, ACM, 18-22 Mar., 2013. Abstractaraujo2013sac.pdf

Feature Models are commonly used to specify commonalities and variabilities in Software Product Lines (SPL). Our goal is to enhance feature modeling with traceability and improved support for crosscutting concerns. While traceability will show the features’ requirement-origins, providing means to reason about
their existence, crosscutting concerns will be handled through advanced modularity mechanisms (e.g. aspects), making the impact of changes to SPL models less difficult to understand and analyze. The result is Theme/SPL, a novel SPL requirements technique based on a concern-driven approach (Theme/Doc). Theme/SPL includes the proposal of a domain-specific language for specifying Theme/Doc models and uses model-driven development to generate automatically feature models from them. We show the applicability of the technique through a case study using a within-group design to evaluate the final results and tools developed.

Monteiro, R., J. Araújo, V. Amaral, M. Goulão, and P. Patrício, "Adding Interoperability to Requirements Models", Software Quality Professional Journal, vol. 15, issue 4, pp. 16-27, 2013. Abstract

(c) American Society for Quality

sqpv15i4monteiro.pdfWebsite

Complex software systems inherently require a variety of models used in all of the development stages. A general concern is to guarantee consistency and traceability among these models. Model-driven development (MDD) can help tackle this concern. Although MDD has been mainly used in later development stages, it is relatively unexplored in requirements engineering. In this article, the authors discuss how to
leverage MDD to support consistency and traceability in requirements modeling. To illustrate this, they apply MDD to goaloriented requirements engineering (GORE) by making bidirectional mappings between two well-known GORE approaches (i* and KAOS). The result is an interoperable framework that can be used to migrate from one goal model to another through automatic model transformations, keeping consistency and traceability, so requirements engineers can make the best use of each approach.