• DocumentCode
    2601263
  • Title

    Fault-localization using dynamic slicing and change impact analysis

  • Author

    Alves, Elton ; Gligoric, Milos ; Jagannath, Vilas ; D´Amorim, Marcelo

  • Author_Institution
    Fed. Univ. of Pernambuco, Recife, Brazil
  • fYear
    2011
  • fDate
    6-10 Nov. 2011
  • Firstpage
    520
  • Lastpage
    523
  • Abstract
    Spectrum-based fault-localization tools, such as Tarantula, have been developed to help guide developers towards faulty statements in a system under test. These tools report statements ranked in order of suspiciousness. Unfortunately, the reported statements can often be unrelated to the error. This paper evaluates the impact of several approaches to ignoring such unrelated statements in order to improve the effectiveness of fault-localization tools.
  • Keywords
    program slicing; program testing; software fault tolerance; Tarantula; change impact analysis; dynamic slicing; faulty statements; spectrum based fault localization tools; Computational efficiency; Filtering; Inspection; Measurement; Schedules; Testing; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automated Software Engineering (ASE), 2011 26th IEEE/ACM International Conference on
  • Conference_Location
    Lawrence, KS
  • ISSN
    1938-4300
  • Print_ISBN
    978-1-4577-1638-6
  • Type

    conf

  • DOI
    10.1109/ASE.2011.6100114
  • Filename
    6100114
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2601263