Robustness analysis of cognitive information complexity measure using Weyuker properties
ACM SIGSOFT Software Engineering Notes
Evaluation and comparison of cognitive complexity measure
ACM SIGSOFT Software Engineering Notes
A proposed additional property to the Weyuker's existing properties
International Journal of Information Technology and Management
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
ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
A Model for Measuring Cognitive Complexity of Software
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Evaluation of object-oriented spatial complexity measures
ACM SIGSOFT Software Engineering Notes
A new complexity metric based on cognitive informatics
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Modified cognitive complexity measure
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
Hi-index | 0.00 |
Cognitive complexity measure is based on Cognitive informatics, which in turn helps in comprehending the software characteristics. Weyuker properties must be satisfied by every complexity measure to qualify as a good and comprehensive one. In this paper, an attempt has been made to evaluate cognitive complexity measure in terms of nine Weyuker properties, through examples. It has been found that eight of nine Weyuker properties have been satisfied by the cognitive weight software complexity measure and hence establishes the cognitive complexity as a well structured one.