A Fuzzy Approach for Integrated Measure of Object Oriented Software Complexity
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Abstract
Many methods can be used to measure the complexity of a Object Oriented software, but none o f them takes care of all the characteristics o f the software. Various metrics used in measurement o f OO software complexity are Weighted Methods per Class (WMC), Response for a Class (RFC), Lack of Cohesion of Methods (LCOM), Coupling Between Objects (CBO), Depth Inheritance Tree (DIT) and Number of Children (NOC), but none o f them is alone sufficient to give an overall reflection of software complexity. Different metrics try to measure different characteristics o f the software such as efficiency, complexity, understandability, reusability, testability and maintainability. Depending upon the characteristics o f the software to be measured a subset o f thkse metrics should be used.
This paper proposes a fuzzy model for complexity measurement that integrates the effect of subset o f these metrics i.e. WMC, RFC, CBO and DIT. The paper is about an approach to combine OO software metric values into a single overall value that can be
used to rank classes according to their' complexity. The approach uses fuzzy techniques and concepts, vizfuzzification of crisp metric values, inference and aggregation, defuzzification of fuzzy output etc.
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References
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