Volume 8 Issue 1 - January 2017

  • 1. A data analytics prototype for handling software bug triage procedures

    Authors : Lv Srinivas, R Shiva Shankar, K Venkateswara Rao

    Pages : 551-557

    DOI : http://dx.doi.org/10.21172/1.81.072

    Keywords : Bug Triage, Data Reduction in Bug Report, Preprocessing the Bug Report, Fixing Bugs, Application of Data Preprocessing, Data Management in Bug Repositories, Bug Data Reduction.

    Abstract :

    Bug triage is an imperative stride during the time spent bug settling. The objective of bug triage is to allot another coming bug to the right potential designer. The vast majority of the software companies need to manage substantial number of programming bugs consistently. Programming bugs are unavoidable and settling programming bugs is a costly errand. The objective of compelling bug triaging programming is to allocate conceivably experienced engineers to new-coming bug reports. In this paper we analyze different data reduction techniques on the accuracy of bug assignment. We process experiments on real time data sets, by utilizing mining strategies, mining programming storehouses can reveal fascinating data in programming archives and take care of certifiable programming issue like Eclipse, Mozilla and GNOME. In experimental evaluation we evaluate data reduction for bug triage on bug reports on open source tools like Eclipse, Mozilla and so on.

    Citing this Journal Article :

    Lv Srinivas, R Shiva Shankar, K Venkateswara Rao, "A data analytics prototype for handling software bug triage procedures", https://www.ijltet.org/journal_details.php?id=910&j_id=3632, Volume 8 Issue 1 - January 2017, 551-557, #ijltetorg