Cognitive complexity metrics and its impact on software reliability based on cognitive software development model

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Cognitive complexity metrics and its impact on software reliability based on cognitive software development model

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ACM SIGSOFT Software Engineering Notes archive
Volume 31 , Issue 2 (March 2006) table of contents

SECTION: Article abstracts with full text online table of contents

Pages: 1 - 6

Year of Publication: 2006

ISSN:0163-5948

Authors

Dharmender Singh Kushwaha	Moti Lal Nehru National Institute Of Technology, Allahabad, India
A. K. Misra	Moti Lal Nehru National Institute Of Technology, Allahabad, India

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 16, Downloads (12 Months): 93, Citation Count: 1

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ABSTRACT

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.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Kushwaha, D. S. and Misra, A. K.: A Complexity Measure Based on Information Contained in the Software, 5thWSEAS International Conference on Software Engineering, Parallel and Distributed Systems (SEPADS 2006), Madrid, Spain, To Appear, Feb. 2006.
	2	Kushwaha, D. S. and Misra, A. K.: Cognitive Complexity Measure of Object-Oriented Software - A Practitioners Approach, 5thWSEAS International Conference on Software Engineering, Parallel and Distributed Systems (SEPADS 2006), Madrid, Spain, To Appear. Feb. 2006.
	3	Dharmender Singh Kushwaha , A. K. Misra, Robustness analysis of cognitive information complexity measure using Weyuker properties, ACM SIGSOFT Software Engineering Notes, v.31 n.1, January 2006 [doi>10.1145/1108768.1108775]
	4	Kushwaha D. S. and Misra A. K. "Evaluating Cognitive Information Complexity Measure ", 13thAnnual IEEE International Conference and Workshop on the Engineering of Computer Based Systems (ECBS) To Appear, 2006.
	5	Kushwaha, D. S. and Misra, A. K.: A Cognitive Complexity Metric Suite for Object-Oriented Software", WSEAS Transactions on Computers, To Appear, Feb. 2006.
	6	E. P. Doolan, Experience with Fagan's inspection method, Software—Practice & Experience, v.22 n.2, p.173-182, Feb. 1992 [doi>10.1002/spe.4380220205]
	7	E. J. Weyuker, Evaluating Software Complexity Measures, IEEE Transactions on Software Engineering, v.14 n.9, p.1357-1365, September 1988 [doi>10.1109/32.6178]
	8	Yingxu Wang, On the Cognitive Informatics Foundations of Software Engineering, Proceedings of the Third IEEE International Conference on Cognitive Informatics (ICCI'04), p.22-31, August 16-17, 2004 [doi>10.1109/ICCI.2004.24]
	9	Wang, Y.,: On The Informatics Laws of Software, IEEE International Conference on Cognitive Informatics, 2004.
	10	Yingxu Wang, On Cognitive Informatics, Proceedings of the 1st IEEE International Conference on Cognitive Informatics, p.34-42, August 19-20, 2002