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An empirical study on object-oriented metrics

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3 Author(s)
Mei-Huei Tang ; Dept. of Comput. Sci., State Univ. of New York, Albany, NY, USA ; Ming-Hung Kao ; Mei-Hwa Chen

The objective of this study is the investigation of the correlation between object-oriented design metrics and the likelihood of the occurrence of object oriented faults. Such a relationship, if identified, can be utilized to select effective testing techniques that take the characteristics of the program under test into account. Our empirical study was conducted on three industrial real-time systems that contain a number of natural faults reported for the past three years. The faults found in these three systems are classified into three types: object-oriented faults, object management faults and traditional faults. The object-oriented design metrics suite proposed by Chidamber and Kemerer (1994) is validated using these faults. Moreover, we propose a set of new metrics that can serve as an indicator of how strongly object-oriented a program is, so that the decision to adopt object oriented testing techniques can be made, to achieve more reliable testing and yet minimize redundant testing efforts

Published in:

Software Metrics Symposium, 1999. Proceedings. Sixth International

Date of Conference:

1999