The correlation between source code analysis change recommendations and software metrics

Authors:
Arwa Abuasad;Izzat M. Alsmadi
Affiliations:
Yarmouk University, Irbid, Jordan;Yarmouk University, Irbid, Jordan
Venue:
Proceedings of the 3rd International Conference on Information and Communication Systems
Year:
2012

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Abstract

Developing a software with high quality is a challenge that is continuously evolving. There are several methods to evaluate the quality in developed software products. In this paper, we evaluated the correlation between two software quality tools: Source Code Analysis (SCA) and software metrics. While both approaches are used to assess one or more attributes of the software, each one has its own goals and characteristics. In this paper, we evaluated the relation and correlation between SCA and software metrics. We used tools to fix warning detected by SCA tools. Software metrics are measured before and after the modifications of SCA recommended changes. Results showed that some specific metrics related to structure, complexity and maintainability metrics can be significantly impacted by SCA modifications. This is expected given the nature of proposed modifications from SCA tools.