Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
Measuring and Assessing Maintainability at the End of High Level Design
ICSM '93 Proceedings of the Conference on Software Maintenance
Assessing the complexity of software architecture
ACM-SE 42 Proceedings of the 42nd annual Southeast regional conference
Estimation of real-time software component size
Nordic Journal of Computing
Categorization of real-time software components for code size estimation
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
A non-functional requirements tradeoff model in Trustworthy Software
Information Sciences: an International Journal
Assessing maintainability metrics in software architectures using COSMIC and UML
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
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Success in software development depends on the satisfaction of the quality requirements stated by the stakeholders. Software architecture ensures development of quality software. Quality measurement at the software architecture level leads to risk mitigation, cost reduction and quality assurance. Existing software architectural measurement techniques are qualitative in nature. However, quantification of quality measures facilitates the process of effective quality assurance. In this paper, we propose a new quantitative measurement technique based on COSMIC Full Function Points (CFFP) and ISO 9126 quality standards. Though CFFP methodology was basically designed to measure the functional size of software at the requirements level, attempt has been made to apply COSMIC FFP principles at the architectural level to measure quality attributes based on ISO 9126 quality standards.