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Research Paper | Computer Science & Engineering | India | Volume 4 Issue 11, November 2015
A Technique to Combine Feature Selection with Instance Selection for Effective Bug Triage
Suvarna Kale [2] | Ajay Kumar Gupta [3]
Abstract: Software organizations spend more than 45 percent of expense in managing Software bugs. An unavoidable step of altering bugs is bug triage, which plans to accurately allot a developer to another bug. To reduce the time cost in manual work, text classification methods are used for automatic bug triage. In this undertaking, we address the issue of data reduction for bug triage, i. e. , how to diminish the scale and improve the nature of bug data. We consolidate instance selection with feature selection to simultaneously decrease information scale on the bug dimension and the word dimension. This paper gives a way to deal with utilizing methods on data processing to form reduced and high-quality bug data in software development and maintenance and also improve the results of data reduction in bug triage.
Keywords: bug data reduction, feature selection, instance selection, bug triage
Edition: Volume 4 Issue 11, November 2015,
Pages: 1869 - 1872
Similar Articles with Keyword 'bug data reduction'
Downloads: 126
Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 12, December 2015
Pages: 904 - 906A Survey on Bug Triaging- Software Data Reduction Techniques
Vijay Kukre [2] | Shyam Gupta [8]
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Dissertation Chapters, Computer Science & Engineering, India, Volume 6 Issue 6, June 2017
Pages: 1939 - 1944Bug Triage Using Data Reduction with Priority and Security
Vijay N. Kukre | Shyam Gupta [8]