期刊名称：International Journal of Software Engineering & Applications (IJSEA)
印刷版ISSN：0976-2221
电子版ISSN：0975-9018
出版年度：2017
卷号：8
期号：2
页码：17
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Early prediction of software quality is important for better software planning and controlling. In earlydevelopment phases, design complexity metrics are considered as useful indicators of software testingeffort and some quality attributes. Although many studies investigate the relationship between designcomplexity and cost and quality, it is unclear what we have learned beyond the scope of individual studies.This paper presented a systematic review on the influence of software complexity metrics on qualityattributes. We aggregated Spearman correlation coefficients from 59 different data sets from 57 primarystudies by a tailored meta-analysis approach. We found that fault proneness and maintainability are mostfrequently investigated attributes. Chidamber & Kemerer metric suite is most frequently used but not all ofthem are good quality attribute indicators. Moreover, the impact of these metrics is not different inproprietary and open source projects. The result provides some implications for building quality modelacross project type.
关键词：Design Complexity; Software Engineering; Open source software; Systematic literature review
