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A Software Complexity Measurement Technique for Object-Oriented Reverse Engineering  

Kim Jongwan (Department of Computer Science and Engineering, Korea University)
Hwang Chong-Sun (Graduate School of Computer Science and Technology at Korea University)
Publication Information
Journal of KIISE:Software and Applications / v.32, no.9, 2005 , pp. 847-852 More about this Journal
Abstract
Over the last decade, numerous complexity measurement techniques for Object-Oriented (OO) software system have been proposed for managing the effects of OO codes. These techniques may be based on source code analysis such as WMC (Weighted Methods per Class) and LCOM (Lack of Cohesion in Methods). The techniques are limited to count the number of functions (C++). However. we suggested a new weighted method that checks the number of parameters, the return value and its data type. Then we addressed an effective complexity measurement technique based on the weight of class interfaces to provide guidelines for measuring the class complexity of OO codes in reverse engineering. The results of this research show that the proposed complexity measurement technique ECC(Enhanced Class Complexity) is consistent and accurate in C++ environment.
Keywords
Software metrics; class complexity metrics; object-oriented reverse engineering;
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