Evaluating Software Complexity Measures
IEEE Transactions on Software Engineering
Property-Based Software Engineering Measurement
IEEE Transactions on Software Engineering
Software engineering (6th ed.)
Software engineering (6th ed.)
A Framework of Software Measurement
A Framework of Software Measurement
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Software Engineering: A Practitioner's Approach
Software Measurement: A Necessary Scientific Basis
IEEE Transactions on Software Engineering
Towards a Framework for Software Measurement Validation
IEEE Transactions on Software Engineering
ICCI '02 Proceedings of the 1st IEEE International Conference on Cognitive Informatics
Evaluating Cognitive Complexity Measure with Weyuker Properties
ICCI '04 Proceedings of the Third IEEE International Conference on Cognitive Informatics
IEEE Transactions on Software Engineering
Cognitive Program Complexity Measure
COGINF '07 Proceedings of the 6th IEEE International Conference on Cognitive Informatics
The role of controlled experiments in software engineering research
Proceedings of the 2006 international conference on Empirical software engineering issues: critical assessment and future directions
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Metrics, in general, are defined as "a quantitative measure of the degree to which a system, component, or process possesses a given attribute". Complexity metrics are used to predict critical information about reliability and maintainability of software systems. This paper proposes complexity metric, which includes all major factors responsible for complexity. We validated our metric against the principles of measurement theory since the measurement theory has been proposed and extensively used in the literature as a means to evaluate the software engineering metrics. The scale of the metric is investigated through Extensive structure. It is found that the proposed measure is on ratio scale. The applicability of the proposed measure is tested through test cases and comparative study.