• DocumentCode
    2024697
  • Title

    Using software development progress data to understand threats to project outcomes

  • Author

    Hall, Tracy ; Rainer, Austen ; Jagielska, Dorota

  • Author_Institution
    Hertfordshire Univ.
  • fYear
    2005
  • fDate
    1-1 Sept. 2005
  • Lastpage
    18
  • Abstract
    In this paper we describe our on-going longitudinal study of a large complex software development project. We discuss how we used project metrics data collected by the development team to identify threats to project outcomes. Identifying and addressing threats to projects early in the development process should significantly reduce the chances of project failure. We have analysed project data to pinpoint the sources of threats to the project. The data we have used is embedded in the project´s fortnightly progress reports produced by the project team. The progress reports are part of the software measurement program this company operates. The company has highly mature development processes which were assessed at CMM level 5 in 2004. Our analysis shows that standard project progress data can generate rich insights into the project; insights that go beyond those anticipated when the metrics were originally specified. Our results reveal a pattern of threats to the project that the project team can focus on mitigating. The project team is already aware of some threats, for example that communication with the customer is a significant threat to the project. But there are other threats the team is not aware of for example that people issues within the software team are not a significant threat to the project
  • Keywords
    Capability Maturity Model; software development management; software metrics; Capability Maturity Model; project failure; project metrics; project outcome threat understanding; software development progress data; software development project; software measurement; software metrics; Coordinate measuring machines; Data analysis; Embedded software; Light emitting diodes; Mobile computing; Network servers; Programming; Safety; Search engines; Software measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Metrics, 2005. 11th IEEE International Symposium
  • Conference_Location
    Como
  • ISSN
    1530-1435
  • Print_ISBN
    0-7695-2371-4
  • Type

    conf

  • DOI
    10.1109/METRICS.2005.52
  • Filename
    1509296