• DocumentCode
    2035386
  • Title

    Assessing massive maintenance processes: an empirical study

  • Author

    De Lucia, Andrea ; Pannella, Antonello ; Pompella, Eugenio ; Stefanucci, Silvio

  • Author_Institution
    Fac. of Eng., Univ. of Sannio, Benevento, Italy
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    451
  • Lastpage
    458
  • Abstract
    We present an empirical study from the experience of a major. international software enterprise in conducting massive adaptive maintenance projects with a close deadline. The adopted process entails the decomposition of the application portfolio into loosely coupled work-packets that can be independently and incrementally worked out by teams distributed on different sites. The study analyzes the correlation between maintenance size and productivity metrics of a large Y2K project. The resulting models allows to estimate the costs of a project conducted according to the adopted massive maintenance process and distribute them among the different phases
  • Keywords
    software development management; software maintenance; software process improvement; Y2K project; adaptive maintenance projects; application portfolio; empirical study; massive maintenance processes assessment; productivity metrics; software enterprise; Cities and towns; Costs; Electrical capacitance tomography; Lab-on-a-chip; Portfolios; Productivity; Programming; Project management; Software maintenance; Time to market;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance, 2001. Proceedings. IEEE International Conference on
  • Conference_Location
    Florence
  • ISSN
    1063-6773
  • Print_ISBN
    0-7695-1189-9
  • Type

    conf

  • DOI
    10.1109/ICSM.2001.972758
  • Filename
    972758