Software testing

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Software testing: a machine learning experiment

Full text

Pdf (655 KB)

Source

ACM Annual Computer Science Conference archive
Proceedings of the 1995 ACM 23rd annual conference on Computer science table of contents

Nashville, Tennessee, United States

Pages: 135 - 141

Year of Publication: 1995

ISBN:0-89791-737-5

Authors

Thomas J. Cheatham	Department of Computer Science, Middle Tennessee State University, Murfreesboro, Tennessee
Jungsoon P. Yoo	Department of Computer Science, Middle Tennessee State University, Murfreesboro, Tennessee
Nancy J. Wahl	Department of Computer Science, Middle Tennessee State University, Murfreesboro, Tennessee

Sponsor

ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 0, Downloads (12 Months): 16, Citation Count: 1

Additional Information:

references cited by index terms collaborative colleagues peer to peer

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/259526.259548 What is a DOI?

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	Albrecht, A., "Measuring Application Development Productivity," Proceedings of the IBM Application Development Symposium, Monterrey, CA, October 1979, pp. 83-92.
	2	John W. Bailey , Victor R. Basili, A meta-model for software development resource expenditures, Proceedings of the 5th international conference on Software engineering, p.107-116, March 09-12, 1981, San Diego, California, United States
	3	Victor R. Basili , Richard W. Selby, Comparing the effectiveness of software testing strategies, IEEE Transactions on Software Engineering, v.13 n.12, p.1278-1296, December 1, 1987 [doi>10.1109/TSE.1987.232881]
	4	Boehm, B., "Software Engineering Economics," IEEE Transactions of Software Engineering, Vol. SE-10, No. 1, January 1984, pp. 4-21.
	5	Douglas H. Fisher, Knowledge Acquisition Via Incremental Conceptual Clustering, Machine Learning, v.2 n.2, p.139-172, September 1987 [doi>10.1023/A:1022852608280]
	6	Foster, L., C by Discovery, Scott/Jones Inc., El Granada, CA, 1991.
	7	Gluck, M. and J. Cotter, "Information, Uncertainty, and the Utility of Categories," Proceedings of the Seventh Annual Conference of the Cognitive Science Society, 1985, pp. 283- 287, Irvine, CA, Lawrence Erlbaum.
	8	Maurice H. Halstead, Elements of Software Science (Operating and programming systems series), Elsevier Science Inc., New York, NY, 1977
	9	Richard Johnsonbaugh , Martin Kalin, A graph generation software package, ACM SIGCSE Bulletin, v.23 n.1, p.151-154, Mar. 1991
	10	Jeri R. Hanly , Elliot B. Koffman , Frank L. Friedman, Problem Solving and Program Design in C, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1995
	11	McKusick, K., and K. Thompson, COBWEB~3: A Portable Implementation, Technical Report FIA-90-6-18-2, NASA Ames Research Center, June, 1990.
	12	Motley, R. and W. Brooks, Statistical Prediction of Programming Errors, Rome Air Development Center, Griffiss AFB, NY, RADC-TR-77-175, May 1977.
	13	Nelson, E., Management Handbook for the Estimation of Computer Programming Costs, System Development Corporation, AD- A648750, October 31, 1966.
	14	S. L. Pfleeger, An investigation of cost and productivity for object-oriented development, George Mason University Press, Faifax, VA, 1989
	15	Putnam, L., "General Empirical Solution to the Macro Software Sizing and Estimating Problem," IEEE Trans. on Software Engineering, Vol 4, 1978, pp. 345-361.
	16	J. R. Quinlan, Induction of Decision Trees, Machine Learning, v.1 n.1, p.81-106 [doi>10.1023/A:1022643204877]
	17	Vincent Y. Shen , Tze-Jie Yu , Stephen M. Thebaut , Lorri R. Paulsen, Identifying error-prone software—an empirical study, IEEE Transactions on Software Engineering, v.11 n.4, p.317-324, April 1985 [doi>10.1109/TSE.1985.232222]
	18	Srinivasan, K. and D. Fisher, Machine Learning Approaches to Estimating Software Development Time, Technical Report CS-92- 09, Vanderbilt University, 1992.
	19	Walston, C. and C. Felix, "A Method of Programming Measurement and Estimation," IBM Systems Journal, Vol. 16, No. 1, 1977, pp. 54-73.
	20	Wolverton, R.W., "The Cost of Developing Large-Scale Software," IEEE Trans. Computing, June 1974, pp. 615-636.