期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：6
页码：12303
DOI：10.15680/IJIRSET.2017.0606302
出版社：S&S Publications
摘要：Once a novel bug report is received, developers generally have to be compelled to be compelled to breedthe bug and perform code reviews to hunt out the cause, a way that will be tedious and time overwhelming. A tool forranking all the provision files with relation to but in all probability they are to contain the rationale for the bug wouldmodify developers to slender down their search and improve productivity. This paper introduces associate degreeadaptive ranking approach that leverages project data through purposeful decomposition of computer code computerfile, API descriptions of library parts, the bug-fixing history, the code modification history, and so the file dependencygraph. Given a bug report, the ranking score of each offer file is computed as a weighted combination of associatedegree array of choices, where the weights unit of measurement trained automatically on antecedently solved bugreports using a learning-to-rank technique. we've an inclination to worth the ranking system on six huge scale openoffer Java comes, exploitation the before-fix version of the project for every bug report.
