• DocumentCode
    3112568
  • Title

    Patterns for cleaning up bug data

  • Author

    Souza, Richard ; Chavez, Christina ; Bittencourt, Roberto

  • Author_Institution
    Dept. of Comput. Sci., Fed. Univ. of Bahia, Salvador, Brazil
  • fYear
    2013
  • fDate
    21-21 May 2013
  • Firstpage
    26
  • Lastpage
    28
  • Abstract
    Bug reports provide insight about the quality of an evolving software and about its development process. Such data, however, is often incomplete and inaccurate, and thus should be cleaned before analysis. In this paper, we present patterns that help both novice and experienced data scientists to discard invalid bug data that could lead to wrong conclusions.
  • Keywords
    program debugging; software quality; bug data cleaning; patterns; software development process; software quality; Cleaning; Computer bugs; Data mining; Databases; Educational institutions; Software; Testing; bugs; data analysis; mining software repositories; patterns;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Analysis Patterns in Software Engineering (DAPSE), 2013 1st International Workshop on
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • DOI
    10.1109/DAPSE.2013.6603806
  • Filename
    6603806
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3112568