• DocumentCode
    3343260
  • Title

    A process to mining issues of software repositories

  • Author

    Bautista, Ana Maria ; San Feliu, Tomas

  • Author_Institution
    Dept. Lenguajes y Sist. Inf. e Ing. de Software, Univ. Politec. de Madrid, Madrid, Spain
  • fYear
    2015
  • fDate
    17-20 June 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Public software repositories offer a great opportunity for researchers. GitHub is a repository with more than 10 million projects. GitHub has an implementation of a defect tracking system. This paper describes the process developed to extract defects from GitHub repository, one of the most widely used public repositories. In this work, besides of the process, it is presented the appeared difficulties, during data mining. With obtained data, it is pretended to apply neural networks to get defects prediction.
  • Keywords
    data mining; neural nets; program diagnostics; software engineering; GitHub repository; data mining; defect prediction; defect tracking system; issue mining process; neural networks; public software repository; Benchmark testing; Biological neural networks; Data mining; Encoding; Internet; Media; Software; Defect Tracking; Defects Prediction; Repositories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Systems and Technologies (CISTI), 2015 10th Iberian Conference on
  • Conference_Location
    Aveiro
  • Type

    conf

  • DOI
    10.1109/CISTI.2015.7170552
  • Filename
    7170552
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3343260