• DocumentCode
    2273274
  • Title

    A probability-based approach for measuring external attributes of software artifacts

  • Author

    Morasca, Sandro

  • Author_Institution
    Dipt. di Inf. e Comun., Univ. degli Studi dell´´Insubria, Como, Italy
  • fYear
    2009
  • fDate
    15-16 Oct. 2009
  • Firstpage
    44
  • Lastpage
    55
  • Abstract
    The quantification of so-called external software attributes, which are the product qualities with real relevance for developers and users, has often been problematic. This paper introduces a proposal for quantifying external software attributes in a unified way. The basic idea is that external software attributes can be quantified by means of probabilities. As a consequence, external software attributes can be estimated via probabilistic models, and not directly measured via software measures. This paper discusses the reasons underlying the proposals and shows the pitfalls related to using measures for external software attributes. We also show that the theoretical bases for our approach can be found in so-called ldquoprobability representations,rdquo a part of Measurement Theory that has not yet been used in Software Engineering Measurement. By taking the definition and estimation of reliability as reference, we show that other external software attributes can be defined and modeled by a probability-based approach.
  • Keywords
    probability; software reliability; probability-based approach; software artifact; software attribute; software engineering; software reliability; Application software; Proposals; Real time systems; Size measurement; Software engineering; Software maintenance; Software measurement; Software quality; Software standards; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Empirical Software Engineering and Measurement, 2009. ESEM 2009. 3rd International Symposium on
  • Conference_Location
    Lake Buena Vista, FL
  • ISSN
    1938-6451
  • Print_ISBN
    978-1-4244-4842-5
  • Electronic_ISBN
    1938-6451
  • Type

    conf

  • DOI
    10.1109/ESEM.2009.5316048
  • Filename
    5316048