文章基本信息

标题：Empirical Bug Estimation Model: Replicating Ideas with Analysis and Implication of Bugs in CK Metric Suite
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作者：Pooja Jha ; K Sridhar Patnaik
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2015
卷号：9
期号：12
页码：267-284
DOI：10.14257/ijseia.2015.9.12.24
出版社：SERSC
摘要：Trending strategy for better management of system complexity is following object- oriented approach in development of software. Object-oriented (OO) approach increases the chances of upgrading quality. Few researches have been in direction of OO software development and metrics utility. Also, evidence shows for inadequate of empirically linking the OO methodology and project outcomes. Need of hour is advancement in research for better understanding the parameters influencing software quality and other project effects such as productivity in OO software development. This has been accepted as one of the prevalent challenges in OO methodology and is trying to resolve these issues. This paper discusses the role of CK metric suite in elucidating object-oriented software bugs at a class level. The analyses deals with projects following OO approach during development highlighting the correlation of the metrics in CK suite with the bugs present. The motivational drive is to explicitly accounting that larger classes will have more number of bugs and we tried to develop model based on certain proposed hypotheses. Our approach is to study the effect of complexity that arises due to interaction among various CK metrics suite and bugs.
关键词：Metrics; Object-oriented approach; C-K suite; PCA; multicollinearity; bugs