Sensitivity and Monotonicity in Class Cohesion Metrics
Article No.: 24, Pages 1 - 5
Abstract
Cohesion metrics have been explored widely in the literature for procedural programs and subsequently for object oriented programs. However, as it is commonly found with metrics based approaches, most attempts have been shown to have suffered from some or the other flaws. In this paper, in light of two problems associated with cohesion metrics namely sensitivity and monotonicity, an analysis of a few recent refined metrics is provided. A new metric called ISCOM (Improved Sensitive Cohesion Metric), is proposed. ISCOM addresses these problems capturing the strength of cohesion with a finer granularity and a higher sensitivity. A comparison is also made with the help of cohesion lattice based models to highlight the contributions of the new approach based on sensitivity and monotonicity. We also apply cohesion lattice theory to validate the approach.
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Index Terms
- Sensitivity and Monotonicity in Class Cohesion Metrics
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Published In
February 2019
238 pages
ISBN:9781450362153
DOI:10.1145/3299771
- General Chair:
- Ravindra Naik,
- Program Chairs:
- Santonu Sarkar,
- Thomas Hildebrandt,
- Atul Kumar,
- Publications Chair:
- Richa Sharma
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Published: 14 February 2019
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