A Method for Software Metrics Assessment to Heighten the Quality of Source Code

The Source Code quality and understandability entirely depends on the comments specified at appropriate locations. The current paradigms do not propose any metric or methodology that is useful for checking the source comments quality. The proposed model and empirical parser based implementation emphasize the efficient and meaningful usage of code comments in the source code regardless of the language or script. In this research work, the empirical and pragmatic evaluation of the source understandability and the escalation is done using survey based analytics. The source code comments and understanding factors are taken into the consideration so that the reusability of the source code can be increased. The key parameters for evaluation of source code include cohesion, coupling and the type of source code. The type of source code is having the flavor of procedural or object oriented paradigm so that any type of source code with its inherent feature points can be analyzed and predicted.