• DocumentCode
    2921451
  • Title

    DuoTracker: Tool Support for Software Defect Data Collection and Analysis

  • Author

    Akinwale, Olusegun ; Dascalu, Sergiu ; Karam, Marcel

  • Author_Institution
    University of Nevada, USA
  • fYear
    2006
  • fDate
    Oct. 2006
  • Firstpage
    22
  • Lastpage
    22
  • Abstract
    In today software industry defect tracking tools either help to improve an organization¿s software development process or an individual¿s software development process. No defect tracking tool currently exists that help both processes. In this paper we present DuoTracker, a tool that makes possible to track and analyze software defects for organizational and individual software process decision making. To accomplish this, DuoTracker has capabilities to classify defects in a manner that makes analysis at both organizational and individual software processes meaningful. The benefit of this approach is that software engineers are able to see how their personal software process improvement impacts their organization and vice versa. This paper shows why software engineers need to keep track of their program defects, how this is currently done, and how DuoTracker offers a new way of keeping track of software errors. Furthermore, DuoTracker is compared to other tracking tools that enable software developers to record program defects that occur during their individual software processes.
  • Keywords
    Computer industry; Computer science; Coordinate measuring machines; Data analysis; Data engineering; ISO standards; Programming; Software performance; Software quality; Software tools; CMM; ISO-9001.; PSP; defect classification; software anomalies; software defects;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Advances, International Conference on
  • Conference_Location
    Tahiti
  • Print_ISBN
    0-7695-2703-5
  • Type

    conf

  • DOI
    10.1109/ICSEA.2006.261278
  • Filename
    4031807