How to evaluate object-oriented software development?
ACM SIGPLAN Notices
The role of software measures and metrics in studies of program comprehension
ACM-SE 37 Proceedings of the 37th annual Southeast regional conference (CD-ROM)
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
ICCI '02 Proceedings of the 1st IEEE International Conference on Cognitive Informatics
Complexity Measures for Object-Oriented Program Based on the Entropy
APSEC '95 Proceedings of the Second Asia Pacific Software Engineering Conference
Towards a Semantic Metrics Suite for Object-Oriented Design
TOOLS '00 Proceedings of the Technology of Object-Oriented Languages and Systems (TOOLS 34'00)
Product metrics for object-oriented systems
ACM Computing Surveys (CSUR)
A modified cognitive information complexity measure of software
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
Cognitive information complexity measure of object-oriented program
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Hi-index | 0.00 |
Cognitive informatics is an interdisciplinary research area that paves way for finding solutions to problems in the related field such as problem understanding, artificial intelligence, cognitive sciences etc. It studies the information processing mechanism and its relation to the behavior thereupon, may it be system or an individual. Cognition defines the ease of understanding or the property of comprehension. Comprehension is the key feature that distinguishes any entity as being complex or simple. Comprehensibility of a problem helps in efficient design solution and improvement of software product quality. Thus property of comprehensibility can be used in all the different phases of software engineering. Hence, from a practitioner's point of view, we need a object-oriented metric based on cognition that will act as a yardstick in designing efficient software systems.