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A modified cognitive information complexity measure of software

Authors:

Dharmender Singh Kushwaha,

A. K. MisraAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 31, Issue 1

Pages 1 - 4

https://doi.org/10.1145/1108768.1108776

Published: 01 January 2006 Publication History

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Abstract

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.

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Ollenschläger MKüderle AMehringer WSeifer AWinkler JGaßner HKluge FEskofier B(2022)MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series DataSensors10.3390/s2215584922:15(5849)Online publication date: 5-Aug-2022
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cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 31, Issue 1

January 2006

203 pages

ISSN:0163-5948

DOI:10.1145/1108768

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 2006

Published in SIGSOFT Volume 31, Issue 1

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Ollenschläger MKüderle AMehringer WSeifer AWinkler JGaßner HKluge FEskofier B(2022)MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series DataSensors10.3390/s2215584922:15(5849)Online publication date: 5-Aug-2022
https://doi.org/10.3390/s22155849
Wijendra DHewagamage K(2022)Application of the Refactoring to the Understandability and the Cognitive Complexity of a Software2022 IEEE 7th International conference for Convergence in Technology (I2CT)10.1109/I2CT54291.2022.9824082(1-6)Online publication date: 7-Apr-2022
https://doi.org/10.1109/I2CT54291.2022.9824082
Wijendra DHewagamage K(2021)Software Complexity Reduction through the Process Automation in Software Development Life Cycle2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)10.1109/ICECCT52121.2021.9616781(1-7)Online publication date: 15-Sep-2021
https://doi.org/10.1109/ICECCT52121.2021.9616781
De Silva DKodagoda NKodituwakku SPinidiyaarachchi A(2017)Analysis and enhancements of a cognitive based complexity measure2017 IEEE International Symposium on Information Theory (ISIT)10.1109/ISIT.2017.8006526(241-245)Online publication date: 25-Jun-2017
https://dl.acm.org/doi/10.1109/ISIT.2017.8006526
Dey STariq SIslam MMuradul Bashir G(2017)Cognitive complexity: A model for distributing equivalent programming problems2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)10.1109/ECACE.2017.7913018(831-837)Online publication date: Feb-2017
https://doi.org/10.1109/ECACE.2017.7913018
Dinuka Rukshani Wijendra Hewagamage K(2016)Automated tool for the calculation of cognitive complexity of a software2016 2nd International Conference on Science in Information Technology (ICSITech)10.1109/ICSITech.2016.7852627(163-168)Online publication date: Oct-2016
https://doi.org/10.1109/ICSITech.2016.7852627
De Silva DKodagoda NKodituwakku SPinidiyaarachchi A(2015)Improvements to a complexity metric: CB measure2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS)10.1109/ICIINFS.2015.7399045(401-406)Online publication date: Dec-2015
https://doi.org/10.1109/ICIINFS.2015.7399045
Singh NTripathi A(2014)A Design Phase Understandability Metric Based on Coupling and Cohesion for Object-Oriented SystemsIntelligent Computing, Communication and Devices10.1007/978-81-322-2012-1_33(321-325)Online publication date: 26-Aug-2014
https://doi.org/10.1007/978-81-322-2012-1_33
Alatalo TKuusela EPuuperä ROjala TCooper KScacchi WWang A(2013)Comparative API complexity analysis of two platforms for networked multiplayer games using a reference gameProceedings of the 3rd International Workshop on Games and Software Engineering: Engineering Computer Games to Enable Positive, Progressive Change10.5555/2662593.2662602(44-50)Online publication date: 18-May-2013
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De Silva DKodagoda N(2013)Applicability of Weyuker's properties using three complexity metrics2013 8th International Conference on Computer Science & Education10.1109/ICCSE.2013.6553996(685-690)Online publication date: Apr-2013
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