• DocumentCode
    600269
  • Title

    Analyzing inspection data for heuristic effectiveness

  • Author

    Shull, Forrest ; Seaman, Carolyn ; Diep, Madeline

  • Author_Institution
    Fraunhofer CESE, College Park, MA, USA
  • fYear
    2012
  • fDate
    20-21 Sept. 2012
  • Firstpage
    149
  • Lastpage
    152
  • Abstract
    A significant body of knowledge concerning software inspection practice indicates that the value of inspections varies widely both within and across organizations. Inspection effectiveness and efficiency may be affected by a variety of factors such as inspection planning, the type of software, the developing organization, and many others. In the early 1990´s a governmental organization developing complex and highly critical software systems formulated heuristics for inspection planning based on best practices and their early inspection data. Since the development context at the organization has changed in some ways since the heuristics were proposed, it is important to assess whether the heuristics are still a suitable guideline to use. To investigate this question, we statistically evaluated the differences in effectiveness and efficiency between inspections that adhered to the heuristics and ones that did not. Our analysis revealed no significant difference in effectiveness or efficiency for most heuristics. We also learned that compliance with the heuristics is diminishing over time.
  • Keywords
    inspection; program testing; statistical analysis; complex software systems; governmental organization; heuristic effectiveness; highly critical software systems; inspection data analysis; inspection effectiveness; inspection efficiency; inspection planning; software developing organization; software inspection practice; Context; Inspection; Measurement; Organizations; Planning; Software; Software engineering; Inspection; planning; process improvement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Empirical Software Engineering and Measurement (ESEM), 2012 ACM-IEEE International Symposium on
  • Conference_Location
    Lund
  • ISSN
    1938-6451
  • Print_ISBN
    978-1-4503-1056-7
  • Electronic_ISBN
    1938-6451
  • Type

    conf

  • DOI
    10.1145/2372251.2372277
  • Filename
    6475409