Evaluating scenario-based SPL requirements approaches: the case for modularity, stability and expressiveness

Mauricio Alférez 1, * Rodrigo Bonifácio 2 Leopoldo Teixeira 3 Paola Accioly 3 Uirá Kulesza 4 Ana Moreira 5 Joao Araujo 6 Paulo Borba 3
* Corresponding author
1 DiverSe - Diversity-centric Software Engineering
Inria Rennes – Bretagne Atlantique , IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL
2 TransLab, Department of Computer Science [Brasilia]
3 UFPE - Universidade Federal de Pernambuco [Recife]
4 UFRN - Universidade Federal do Rio Grande do Norte [Natal]
5 NOVA - Universidade Nova de Lisboa
6 CITI - Centro de Informática e Tecnologia Informação
Abstract : Software product lines (SPL) provide support for productivity gains through systematic reuse. Among the various quality attributes supporting these goals, modularity, stability and expressiveness of feature specifications, their composition and configuration knowledge emerge as strategic values in modern software development paradigms. This paper presents a metric-based evaluation aiming at assessing how well the chosen qualities are supported by scenario-based SPL requirements approaches. The selected approaches for this study span from type of notation (textual or graphical based), style to support variability (annotation or composition based), and specification expressiveness. They are compared using the metrics developed in a set of releases from an exemplar case study. Our major findings indicate that composition-based approaches have greater potential to support modularity and stability, and that quantification mechanisms simplify and increase expressiveness of configuration knowledge and composition specifications.
Keywords : variability modeling requirements specification use scenarios software product lines
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Submitted on : Monday, December 1, 2014 - 4:59:52 PM
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Mauricio Alférez, Rodrigo Bonifácio, Leopoldo Teixeira, Paola Accioly, Uirá Kulesza, et al.. Evaluating scenario-based SPL requirements approaches: the case for modularity, stability and expressiveness. Requirements Engineering, Springer Verlag, 2014, 19 (4), pp.355 - 376. ⟨10.1007/s00766-013-0184-5⟩. ⟨hal-01088537⟩

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