• DocumentCode
    176278
  • Title

    ReDA: A Web-Based Visualization Tool for Analyzing Modern Code Review Dataset

  • Author

    Thongtanunam, Patanamon ; Xin Yang ; Yoshida, Norihiro ; Kula, Raula Gaikovina ; Camargo Cruz, Ana Erika ; Fujiwara, Koji ; Iida, Hiroyuki

  • Author_Institution
    Nara Inst. of Sci. & Technol., Ikoma, Japan
  • fYear
    2014
  • fDate
    Sept. 29 2014-Oct. 3 2014
  • Firstpage
    605
  • Lastpage
    608
  • Abstract
    ReDA (http://reda.naist.jp/) is a web-based visualization tool for analyzing Modern Code Review (MCR) datasets for large Open Source Software (OSS) projects. MCR is a commonly practiced and lightweight inspection of source code using a support tool such as Gerrit system. Recently, mining code review history of such systems has received attention as a potentially effective method of ensuring software quality. However, due to increasing size and complexity of softwares being developed, these datasets are becoming unmanageable. ReDA aims to assist researchers of mining code review data by enabling better understand of dataset context and identifying abnormalities. Through real-time data interaction, users can quickly gain insight into the data and hone in on interesting areas to investigate. A video highlighting the main features can be found at: http://youtu.be/ fEoTRRas0U.
  • Keywords
    Internet; data visualisation; software quality; software tools; source code (software); Gerrit system; MCR datasets; OSS projects; ReDA; Web-based visualization tool; mining code review data; mining code review history; modern code review dataset; open source software; real-time data interaction; software quality; source code; Androids; Data mining; Data visualization; Google; History; Software quality; Mining software repository; Modern Code Review; Visualization tool;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance and Evolution (ICSME), 2014 IEEE International Conference on
  • Conference_Location
    Victoria, BC
  • ISSN
    1063-6773
  • Type

    conf

  • DOI
    10.1109/ICSME.2014.106
  • Filename
    6976150