Software Quality Factors and Software Quality Metrics to Enhance Software Quality Assurance

Ming-Chang Lee *

National Kaohsiung University of Applied Sciences (Taiwan), 415 Chien Kung Road, Kaohsiung, Taiwan.

*Author to whom correspondence should be addressed.


Abstract

Aims: Software quality assurance is a formal process for evaluating and documenting the quality of the work products during each stage of the software development lifecycle. The practice of applying software metrics to operational factors and to maintain factors is a complex task. Successful software quality assurance is highly dependent on software metrics. It needs linkage the software quality model and software metrics through quality factors in order to offer measure method for software quality assurance. The contributions of this paper build an appropriate method of Software quality metrics application in quality life cycle with software quality assurance.
Design: The purpose approach defines some software metrics in the factors and discussed several software quality assurance model and some quality factors measure method.
Methodology: This paper solves customer value evaluation problem are: Build a framework of combination of software quality criteria. Describes software metrics. Build Software quality metrics application in quality life cycle with software quality assurance.
Results: From the appropriate method of Software quality metrics application in quality life cycle with software quality assurance, each activity in the software life cycle, there is one or more QA quality measure metrics focus on ensuring the quality of the process and the resulting product. Future research is need to extend and improve the methodology to extend metrics that have been validated on one project, using our criteria, valid measures of quality on future software project.

Keywords: Software quality assurance, software metric, software quality factor, software life cycle


How to Cite

Lee, Ming-Chang. 2014. “Software Quality Factors and Software Quality Metrics to Enhance Software Quality Assurance”. Current Journal of Applied Science and Technology 4 (21):3069-95. https://doi.org/10.9734/BJAST/2014/10548.

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