A Way to Deal with Perceiving Copy of Bug Reports by Utilizing Execution of Data
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 1
Abstract
Software bug is an important issue in Software Company. They spent 45 percent of cost in fixing bugs. So unavoidable step of fixing bugs is bug perceiving copy. Aim of bug perceiving copy is to assign correctly a developer to a new bug, to decrease the time cost in manual work. Also applied text classification techniques to conduct automatic bug perceiving copy. We here address the problem of, how to reduce the scale of bug data and improve the quality of bug data. For that, combine an instance selection with feature selection to simultaneously reduce data scale on the bug dimension and the word dimension. Considering predictive model for new bug dataset by extracting attributes from historical dataset, then investigating performance of data reduction on bug reports of two large open source projects such as Eclipse and Mozilla.
Authors and Affiliations
Miss Yele Ashwini, Mrs. Deokate Sarika , Miss Rasal Sakshta, Miss Khomane Dhanashree, Miss Bagal Pooja
Keywords
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