An empirical analysis of software evolution profiles and outcomes

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An empirical analysis of software evolution profiles and outcomes

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International Conference on Information Systems archive
Proceedings of the 20th international conference on Information Systems table of contents

Charlotte, North Carolina, United States

Pages: 453 - 458

Year of Publication: 1999

ISBN:ICIS1999-X

Authors

Evelyn Barry	Graduae School of Industrial Administration, Carnegie Mellon University
Sandra Slaughter	Graduae School of Industrial Administration, Carnegie Mellon University
Chris F. Kemerer	Katz School of Business, University of Pittsburgh

Sponsor

ACM: Association for Computing Machinery

Publisher

Association for Information Systems Atlanta, GA, USA

Bibliometrics

Downloads (6 Weeks): 8, Downloads (12 Months): 18, Citation Count: 2

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references cited by index terms collaborative colleagues

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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	Banker, R. D.; Datar, S. M.; Kemerer, C. F.; and Zweig, D. "Software Complexity and Maintenance Costs," Software Project Management: Readings and Cases, C. F. Kemerer (ed.), Chicago: McGraw-Hill/R. D. Irwin, 1997, pp. 521-538.
	2	Belady, R. A., and Lehman, M. M. "A Model of Large Program Development," IBM Systems Journal (15:1), 1976, pp. 225-252.
	3	Dekleva, S., and Zvegintzov, N. "Real Maintenance Statistics," Software Maintenance News (9:2), 1991, pp. 6-9.
	4	David Gefen , Scott L. Schneberger, The non-homogeneous maintenance periods: a case study of software modifications, Proceedings of the 1996 International Conference on Software Maintenance, p.134-141, November 04-08, 1996
	5	Geoffrey K. Gill , Chris F. Kemerer, Cyclomatic Complexity Density and Software Maintenance Productivity, IEEE Transactions on Software Engineering, v.17 n.12, p.1284-1288, December 1991 [doi>10.1109/32.106988]
	6	Greene, W. H. Econometric Analysis, 2 nd ed., Englewood Cliffs, NJ: Prentice Hall, 1990.
	7	IEEE Standard for Software Maintenance, New York: IEEE, 1993. Kemerer, C. F. "Software Complexity and Software Maintenance: A Survey of Empirical Research," Annals of Software Engineering (1), September 1995, pp. 1-22.
	8	Chris F. Kemerer , Sandra Slaughter, An Empirical Approach to Studying Software Evolution, IEEE Transactions on Software Engineering, v.25 n.4, p.493-509, July 1999 [doi>10.1109/32.799945]
	9	M. M. Lehman , L. A. Belady, Program evolution: processes of software change, Academic Press Professional, Inc., San Diego, CA, 1985
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	13	H. Dieter Rombach , Bradford T. Ulery , Jon D. Valett, Toward full life cycle control: adding maintenance measurement to the SEL, Journal of Systems and Software, v.18 n.2, p.125-138, May 1992 [doi>10.1016/0164-1212(92)90122-Z]
	14	E. Burton Swanson, The dimensions of maintenance, Proceedings of the 2nd international conference on Software engineering, p.492-497, October 13-15, 1976, San Francisco, California, United States
	15	E. Burton Swanson , Cynthia Mathis Beath, Maintaining information systems in organizations, John Wiley & Sons, Inc., New York, NY, 1989
	16	Nicholas Zvegintzov, Counterpoint: Software Should Live Longer, IEEE Software, v.15 n.4, p.19, July 1998

CITED BY 2

	Jon Heales, A model of factors affecting an information system's change in state, Journal of Software Maintenance: Research and Practice, v.14 n.6, p.409-427, November 2002
	Thomas Gustafsson , Aleksandra Tešanović , Ying Du , Jörgen Hansson, Engineering active behavior of embedded software to improve performance and evolution: an aspect-oriented approach, Proceedings of the 2007 ACM symposium on Applied computing, March 11-15, 2007, Seoul, Korea