This Building a metric to quantify software entropy (disorderliness) in terms of measuring control structure to token module cohesion is the goal of this study. Categorized under the field of software engineering and falls under software configuration management which concentrates to tasks of tracking and controlling changes in the software, this research proposes an algorithm that predicts the degree of the module togetherness and the need for element separation while changes in Lines-Of-Codes (LOC) happen. Thus cohesion when measured becomes a good tool that aids in the decision for codes re-engineering, refactoring and / or migration. Finally this research performed a theoretical application on standard control and / or conditional statements.
['Sonia M. Pascua']
A control structure — Token based metric for software functional cohesion, entropy and re-engineering