• DocumentCode
    234770
  • Title

    Automatic bug labeling using semantic information from LSI

  • Author

    Chawla, Indu ; Singh, S.K.

  • Author_Institution
    Dept. of Comput. Sci. & IT, Jaypee Inst. of Inf. Technol., Noida, India
  • fYear
    2014
  • fDate
    7-9 Aug. 2014
  • Firstpage
    376
  • Lastpage
    381
  • Abstract
    Most open source projects provide a defect tracking system, where users, developers, testers can directly report the problems. The fields provided in the bug report help triager and debugger to understand the problem better. They also help in other tasks like accurate assessment of priority and severity of bugs, identification of appropriate developer to resolve bugs etc. Label field in the bug report is one such field. It has been observed that in many bug repositories, the label field is either not present or is incorrectly assigned. There is a need for automatic bug labeling so that bug reports could be made more informative. This paper presents an automated technique for bug labeling using TF-IDF and LSI. Experimental study shows that there is improvement in results with the addition of semantically similar words obtained from LSI in conjunction with the terms extracted using TF-IDF. Using LSI along with TF-IDF, we achieved 61.5% accuracy for the polish bug reports and 62.8% accuracy for security bug reports as compared to 53.8% accuracy for polish and 61% for security bug reports from using TF-IDF alone.
  • Keywords
    program debugging; LSI; TF-IDF; automatic bug labeling; defect tracking system; open source projects; polish bug reports; security bug reports; semantic information; Accuracy; Browsers; Computer bugs; Labeling; Large scale integration; Security; Training; Bug categorization; Bug labeling; LSI; Latent Semantic Indexing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Contemporary Computing (IC3), 2014 Seventh International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-5172-7
  • Type

    conf

  • DOI
    10.1109/IC3.2014.6897203
  • Filename
    6897203