An empirical study of three common software complexity measures

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An empirical study of three common software complexity measures

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Symposium on Applied Computing archive
Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice table of contents

Indianapolis, Indiana, United States

Pages: 203 - 207

Year of Publication: 1993

ISBN:0-89791-567-4

Author

Michael B. O'Neal

Louisiana Tech Univ., Ruston

Sponsor

SIGAPP: ACM Special Interest Group on Applied Computing

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 1, Downloads (12 Months): 17, Citation Count: 2

Additional Information:

references cited by index terms review collaborative colleagues peer to peer

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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	V. R. Basili, Recent advances in software measurement (abstract and references for talk), Proceedings of the 12th international conference on Software engineering, p.44-49, March 26-30, 1990, Nice, France
	2	S. D. Conte , H. E. Dunsmore , V. Y. Shen, Software engineering metrics and models, Benjamin-Cummings Publishing Co., Inc., Redwood City, CA, 1986
	3	Michael L. Cook, Software metrics: an introduction and annotated bibliography, ACM SIGSOFT Software Engineering Notes, v.7 n.2, p.41-60, April 1982 [doi>10.1145/1005937.1005946]
	4	V. Cote , P. Bourque , S. Oligny , N. Rivard, Software metrics: an overview of recent results, Journal of Systems and Software, v.8 n.2, p.121-131, March, 1988 [doi>10.1016/0164-1212(88)90005-2]
	5	Neal S. Coulter, "Softwaru Science and Cognitive Psychology," IEEE Transactions on Software Engineering, se-9, (2) (March 1983).
	6	Bill Curtis, Sylvis B. Shepperd, Phil Milliman, et.al., "Measuring the Psychological Complexity of Software Maintenance Tasks with the Halstead and McCabe Metrics; IEEE Transactions on Software Engineering, se-5, (2) (March 1979).
	7	Bill Curtis, I. Forman, R. Brooks, E. Soloway, and K. Ehrlich, "Psychological Perspectives for Software Science," Informations Processing and Management, 20,(1 2)(1984).
	8	M. H. Halstead, "Advances in Software Science" Advances in Computers, 1S, pp. 119-172, Academic Press, (1979)
	9	Sallie Henry and Dennis Kafura, "Software Metrics Based on Information Flow," IEEE Tranractions on Software Engineering, se-7, (5) (September 1981).
	10	Sallie Henry and Dennin Kafura, "The Evaluation of Software Systems" Structure using Vitative software Mettrics Software -- Practice and Experience, 14(6), (June 1984).
	11	Thomas McCabe "A Complexity Measure; IEEE Transactions on Software Engineering, w-2, (4) (December 1978).

CITED BY 2

	Matthew S. Harrison , Gwendolyn H. Walton, Identifying high maintenance legacy software, Journal of Software Maintenance: Research and Practice, v.14 n.6, p.429-446, November 2002
	Jeong Yang , T. Dean Hendrix , Kai H. Chang , David Umphress, An empirical validation of complexity profile graph, Proceedings of the 43rd annual southeast regional conference, March 18-20, 2005, Kennesaw, Georgia

INDEX TERMS

Primary Classification:
D. Software
D.2 SOFTWARE ENGINEERING
D.2.8 Metrics
Subjects: Complexity measures

Additional Classification:
D. Software
D.2 SOFTWARE ENGINEERING

H. Information Systems
H.1 MODELS AND PRINCIPLES
H.1.2 User/Machine Systems
Subjects: Human factors

General Terms:
Human Factors, Measurement

Keywords:
program maintenance, programmer comprehension, software complexity measures, software engineering, software metrics

REVIEW

"Neal Stanley Coulter : Reviewer"

Lines of code, McCabe's measure, and Halstead's volume measure are used to assess the subjective complexity and maintenance characteristics of 44 COBOL production programs. The main result is that subjective complexities assigned more...

Collaborative Colleagues:

Michael B. O'Neal: colleagues

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