• DocumentCode
    1856955
  • Title

    Optimize defect detection techniques through empirical software engineering method

  • Author

    Sun, Hai Tao

  • Author_Institution
    IBM Corp., Rochester, MN
  • fYear
    2005
  • fDate
    22-25 May 2005
  • Lastpage
    6
  • Abstract
    This paper introduces twelve defect detection techniques and describes a non-controlled experiment related to defect detection techniques to address the uncertainty of how to test an embedded software and find defects effectively. In this non-controlled experiment, three common testing techniques were applied to a large scale embedded system. This study is intended to evaluate different defect detection techniques that are actually used by software engineers using empirical software engineering method. The objective of empirical software engineering is to improve the software development processes and quality. This could be done by evaluating, comparing and controlling defect detection methods. This study is also intended to find a best method to reduce defects and increase the defect detection rate in a large scale embedded system, since defect detection is considered as one of the most costly development process in software development cycle
  • Keywords
    embedded systems; program testing; software engineering; software fault tolerance; defect detection; embedded software testing; empirical software engineering; software development cycle; software development processes; software development quality; Costs; Embedded software; Embedded system; Large-scale systems; Logic testing; Optimization methods; Programming; Software engineering; Software testing; Software tools; Defect detection techniques; empirical software engineering; evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro Information Technology, 2005 IEEE International Conference on
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-9232-9
  • Type

    conf

  • DOI
    10.1109/EIT.2005.1627056
  • Filename
    1627056