Evaluating Software Complexity Measures
IEEE Transactions on Software Engineering
Experience with Fagan's inspection method
Software—Practice & Experience
ICCI '02 Proceedings of the 1st IEEE International Conference on Cognitive Informatics
On the Cognitive Informatics Foundations of Software Engineering
ICCI '04 Proceedings of the Third IEEE International Conference on Cognitive Informatics
Robustness analysis of cognitive information complexity measure using Weyuker properties
ACM SIGSOFT Software Engineering Notes
Evaluating Cognitive Information Complexity Measure
ECBS '06 Proceedings of the 13th Annual IEEE International Symposium and Workshop on Engineering of Computer Based Systems
A complexity measure based on information contained in the software
SEPADS'06 Proceedings of the 5th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems
Cognitive web based software development process: towards a more reliable approach
ACM SIGSOFT Software Engineering Notes
Cognitive information complexity measure of object-oriented program
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
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Software metrics provide a quantitative basis for the development and validation of models of software development process. Information gained from metrics is used in managing the development process in order to improve the reliability and quality of software product. The software metric is used to estimate various parameters of software development lifecycle such as cost, schedule productivity, quality and reliability. In this paper, an attempt has been made to frame the cognitive complexity metrics that will aid in increasing the reliability of software product being developed during the development lifecycle.