IN RELATION TO EFFECTUAL BUG TRIAGE WITH COMPUTER PROGRAM INFORMATION REDUCTION METHODS

Software organizations spend more than 45 percent of cost in managing programming bugs. An unavoidable stride of settling bugs is bug triage, which intends to effectively dole out a designer to another bug. To diminish the time cost in manual work, content characterization systems are connected to lead programmed bug triage. In this paper, we address the issue of information decrease for bug triage, i.e., how to diminish the scale and enhance the nature of bug information. We consolidate occasion choice with highlight determination to all the while diminish information scale on the bug measurement and the word measurement. To decide the request of applying case choice and highlight determination, we separate characteristics from authentic bug informational indexes and assemble a prescient model for another bug informational collection. We experimentally research the execution of information lessening on absolutely 600,000 bug reports of two vast open source ventures, to be specific Eclipse and Mozilla. The outcomes demonstrate that our information lessening can viably decrease the information scale and enhance the precision of bug triage. Our work gives a way to deal with utilizing procedures on information handling to shape lessened and top notch bug information in programming advancement and upkeep