Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
The Real-Time Process Algebra (RTPA)
Annals of Software Engineering
On the Informatics Laws of Software
ICCI '02 Proceedings of the 1st IEEE International Conference on Cognitive Informatics
ICCI '02 Proceedings of the 1st IEEE International Conference on Cognitive Informatics
Measurement of the Cognitive Functional Complexity of Software
ICCI '03 Proceedings of the 2nd IEEE International Conference on Cognitive Informatics
A Cognitive Complexity Metric Based on Category Learning
ICCI '03 Proceedings of the 2nd 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
ACM SIGSOFT Software Engineering Notes
Cognitive information complexity measure of object-oriented software: a practitioner's approach
SEPADS'06 Proceedings of the 5th WSEAS International Conference on Software Engineering, Parallel and Distributed 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
Early estimation of software complexity using requirement engineering document
ACM SIGSOFT Software Engineering Notes
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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Most discipline of science have their own method of investigation built on foundation that is empirical and verifiable. Cognitive Informatics is no different. Cognitive Informatics is a field that studies internal information processing mechanism of the human brain and its application in software coding and computing. This paper attempts to empirically demonstrate the amount of information contained in software and develops a concept of cognitive information complexity measure based on the information contained in the software. It is found that software with higher cognitive information complexity measure has more information units contained in it. Therefore cognitive information complexity measure can be used to understand the cognitive information complexity and the information coding efficiency of the software.