• DocumentCode
    2441491
  • Title

    The Quamoco product quality modelling and assessment approach

  • Author

    Wagner, Stefan ; Lochmann, Klaus ; Heinemann, Lars ; Kläs, Michael ; Trendowicz, Adam ; Plösch, Reinhold ; Seidi, A. ; Goeb, A. ; Streit, Jonathan

  • Author_Institution
    Inst. of Software Technol., Univ. of Stuttgart, Stuttgart, Germany
  • fYear
    2012
  • fDate
    2-9 June 2012
  • Firstpage
    1133
  • Lastpage
    1142
  • Abstract
    Published software quality models either provide abstract quality attributes or concrete quality assessments. There are no models that seamlessly integrate both aspects. In the project Quamoco, we built a comprehensive approach with the aim to close this gap. For this, we developed in several iterations a meta quality model specifying general concepts, a quality base model covering the most important quality factors and a quality assessment approach. The meta model introduces the new concept of a product factor, which bridges the gap between concrete measurements and abstract quality aspects. Product factors have measures and instruments to operationalise quality by measurements from manual inspection and tool analysis. The base model uses the ISO 25010 quality attributes, which we refine by 200 factors and 600 measures for Java and C# systems. We found in several empirical validations that the assessment results fit to the expectations of experts for the corresponding systems. The empirical analyses also showed that several of the correlations are statistically significant and that the maintainability part of the base model has the highest correlation, which fits to the fact that this part is the most comprehensive. Although we still see room for extending and improving the base model, it shows a high correspondence with expert opinions and hence is able to form the basis for repeatable and understandable quality assessments in practice.
  • Keywords
    Java; software metrics; software quality; C# systems; ISO 25010 quality attributes; Java systems; Quamoco product quality assessment; Quamoco product quality modelling; abstract quality aspects; abstract quality attributes; concrete measurements; concrete quality assessments; meta quality model; product factor; quality base model; quality factors; software quality models; Biological system modeling; Concrete; Object oriented modeling; Quality assessment; Software quality; Unified modeling language; empirical validation; meta model; quality assessment; quality model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (ICSE), 2012 34th International Conference on
  • Conference_Location
    Zurich
  • ISSN
    0270-5257
  • Print_ISBN
    978-1-4673-1066-6
  • Electronic_ISBN
    0270-5257
  • Type

    conf

  • DOI
    10.1109/ICSE.2012.6227106
  • Filename
    6227106