Coupling Metrics for Aspect-Oriented Programming: A Systematic Review of Maintainability Studies

  • Rachel Burrows
  • Alessandro Garcia
  • François Taïani
Conference paper

DOI: 10.1007/978-3-642-14819-4_20

Part of the Communications in Computer and Information Science book series (CCIS, volume 69)
Cite this paper as:
Burrows R., Garcia A., Taïani F. (2010) Coupling Metrics for Aspect-Oriented Programming: A Systematic Review of Maintainability Studies. In: Maciaszek L.A., González-Pérez C., Jablonski S. (eds) Evaluation of Novel Approaches to Software Engineering. ENASE 2008. Communications in Computer and Information Science, vol 69. Springer, Berlin, Heidelberg

Abstract

Over the last few years, a growing number of studies have explored how Aspect-Oriented Programming (AOP) might impact software maintainability. Most of the studies use coupling metrics to assess the impact of AOP mechanisms on maintainability attributes such as design stability. Unfortunately, the use of such metrics is fraught with dangers, which have so far not been thoroughly investigated. To clarify this problem, this paper presents a systematic review of recent AOP maintainability studies. We look at attributes most frequently used as indicators of maintainability in current aspect-oriented (AO) programs; we investigate whether coupling metrics are an effective surrogate to measure theses attributes; we study the extent to which AOP abstractions and mechanisms are covered by used coupling metrics; and we analyse whether AO coupling metrics meet popular theoretical validation criteria. Our review consolidates data from recent research results, highlights circumstances when the applied coupling measures are suitable to AO programs and draws attention to deficiencies where coupling metrics need to be improved.

Keywords

Coupling Aspect-oriented programming Systematic review Maintainability 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Rachel Burrows
    • 1
  • Alessandro Garcia
    • 2
  • François Taïani
    • 1
  1. 1.Computing DepartmentLancaster UniversityU.K.
  2. 2.Informatics DepartmentPontifical Catholic University of Rio de JaneiroBrazil

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