Using metrics to evaluate student programs

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Using metrics to evaluate student programs

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ACM SIGCSE Bulletin archive
Volume 27 , Issue 2 (June 1995) table of contents

Pages: 41 - 43

Year of Publication: 1995

ISSN:0097-8418

Author

Ronald J. Leach

Department of Systems & Computer Science, Howard University, Washington, DC

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 6, Downloads (12 Months): 24, Citation Count: 2

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ABSTRACT

Student programs in electronic form can be tested by the instructor against his or her own test data. There are other advantages to electronic submission. We report on the use of software metrics analysis tools to determine "similarities" in student programs. Availability of these tools has virtually eliminated student copying of assignments.

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	John L. Donaldson , Ann-Marie Lancaster , Paula H. Sposato, A plagiarism detection system, Proceedings of the twelfth SIGCSE technical symposium on Computer science education, p.21-25, February 26-27, 1981, St. Louis, Missouri, United States
	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	Sam Grier, A tool that detects plagiarism in Pascal programs, Proceedings of the twelfth SIGCSE technical symposium on Computer science education, p.15-20, February 26-27, 1981, St. Louis, Missouri, United States
	4	Maurice H. Halstead, Elements of Software Science (Operating and programming systems series), Elsevier Science Inc., New York, NY, 1977
	5	Thomas J. McCabe, A complexity measure, Proceedings of the 2nd international conference on Software engineering, p.407, October 13-15, 1976, San Francisco, California, United States
	6	G. Whale, Identification of program similarity in large populations, The Computer Journal, v.33 n.2, p.140-146, April 1990 [doi>10.1093/comjnl/33.2.140]
	7	M. J. Wise, Detection of similarities in student programs: YAP'ing may be preferable to plague'ing, Proceedings of the twenty-third SIGCSE technical symposium on Computer science education, p.268-271, March 05-06, 1992, Kansas City, Missouri, United States

CITED BY 2

	Nghi Truong , Paul Roe , Peter Bancroft, Static analysis of students' Java programs, Proceedings of the sixth conference on Australasian computing education, p.317-325, January 01, 2004, Dunedin, New Zealand
	Susan A. Mengel , Vinay Yerramilli, A case study of the static analysis of the quality of novice student programs, ACM SIGCSE Bulletin, v.31 n.1, p.78-82, March 1999