Predicting the Maintainability of Open Source Software Using Design Metrics  

作　　者：ZHOU Yuming1,2, XU Baowen1,3 1. School of Computer Science and Engineering, Southeast University, Nanjing 210096, Jiangsu,China 2. Department of Computing, Hong Kong Polytechnic University, Hong Kong, China 3. Jiangsu Institute of Software Quality, Nanjing 210096, Jiangsu,China 

出　　处：《Wuhan University Journal of Natural Sciences》2008年第1期14-20,共7页武汉大学学报（自然科学英文版）

基　　金：Supported by the National Natural Science Foundation of China (60425206, 60633010);the High Technology Research Project of Jiangsu Province (BG2005032);the Specialized Research Fund for the Doctoral Program of Higher Education of China (20060286020)

摘　　要：This paper empirically investigates the relationships between 15 design metrics and maintainability of 148 Java open source software. The results show that size and complexity metrics are strongly related to the maintainability of open source software. However, cohesion and coupling, as currently captured by existing metrics, do not seem to have a significant impact on maintainability. When used together, these metrics can predict system maintainability fairly accurately （mean MREs below 30%）.This paper empirically investigates the relationships between 15 design metrics and maintainability of 148 Java open source software. The results show that size and complexity metrics are strongly related to the maintainability of open source software. However, cohesion and coupling, as currently captured by existing metrics, do not seem to have a significant impact on maintainability. When used together, these metrics can predict system maintainability fairly accurately （mean MREs below 30%）.

关 键 词：open source： object-oriented MAINTAINABILITY METRIC PREDICTION regression 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]