Code Comprehending Measure (CCM)
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2012, Vol 2, Issue 1
Abstract
Software complexity, accurately, plays a vital role in life cycle of the software. Many metrics have been proposed in the past like LOC, McCabes cyclomatic measure, Halsteads measures and cognitive measures. This paper proposes a new method to measure the software complexity, by not only taking into account the internal structure of the algorithm in terms of the total cognitive weights of the basic control structures but also by quantifying the flow of data between the various basic control structures and data volume factor (variables and perators) used within basic control structure. The preliminary tests show that this metrics is independent of the existing measures. Comparison with some existing measures has been done to prove the robustness of this new metrics.
Authors and Affiliations
Gurdev Singh, Satinderjit Singh, Monika Monga
Keywords
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- EP ID EP649771
- DOI 10.24297/ijct.v2i1.6733
- Views 97
- Downloads 0
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