원문정보
초록
영어
This paper presents a new complexity metric for Object-Oriented (OO) design measurement to find at the design stage whether the classes become more complex, Moderate complex or less complex. The proposed metric is theoretically evaluated against the Weyuker’s properties as well as empirically evaluated against three open source software system. Furthermore, for validating the validity of new complexity metric, the paper has also presented the comparison of proposed metric with some well known complexity metrics like Weighted Method per Class (WMC) metric of Chidamber and Kemerer (CK), Class Complexity (CC) metric of Balasubramanian, and Complexity Metric for OO Design (CMOOD) metric of Rajnish and Bhattacherjee (RB) against the same three open source software system..Automated tool were used to generate the metric values and for analyzing the results, IBM SPSS software used. The results in this paper indicates that the new complexity metric is correlated well with existing complexity metrics and may be used as predictors of complexity of class.
목차
1. Introduction
2. Weyuker’s Properties
3. Proposed Complexity Metric
3.1. Definition
3.2. Intutive ideas of AMC Metric
3.3. Criteria for Analysis
3.4. Analytical Evaluation of AMC against Weyuker’s Properties
3.5. Analysis of AMC on Open Source Software System
4. Validity of AMC Metric
4.1. Discussion
5. Conclusion and Future Scope
Acknowledgements
References