Requirements Engineering

, Volume 19, Issue 4, pp 355–376 | Cite as

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

  • Mauricio Alférez
  • Rodrigo Bonifácio
  • Leopoldo Teixeira
  • Paola Accioly
  • Uirá Kulesza
  • Ana Moreira
  • João Araújo
  • Paulo Borba
Requirements Engineering in Software Product Lines


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.


Software product lines Variability modeling Use scenarios Requirements specification 



This work was partially supported by the Centro de Informática e Tecnologias de Informação (CITI) - Portugal, the European Project AMPLE - contract IST-33710, the grant SFRH/BD/46194/2008 of Fundação para a Ciência e a Tecnologia - Portugal, and the National Institute of Science and Technology for Software Engineering (INES) - CNPq under grants 573964/2008-4 and CNPQ 560256/2010-8.


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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  • Mauricio Alférez
    • 1
    • 2
  • Rodrigo Bonifácio
    • 3
  • Leopoldo Teixeira
    • 4
  • Paola Accioly
    • 4
  • Uirá Kulesza
    • 5
  • Ana Moreira
    • 2
  • João Araújo
    • 2
  • Paulo Borba
    • 4
  1. 1.Triskell TeamINRIARennesFrance
  2. 2.Computer Science Department / CITIUniversidade Nova de LisboaCaparicaPortugal
  3. 3.Computer Science DepartmentUniversity of BrasíliaBrasíliaBrazil
  4. 4.Informatics CenterFederal University of PernambucoRecifeBrazil
  5. 5.Department of Informatics and Applied Mathematics (DIMAp)Federal University of Rio Grande do NorteNatalBrazil

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