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Inspection effectiveness in software development: a neural network approach

Published: 31 October 1994 Publication History

Abstract

In this paper we discuss an analysis of inspection effectiveness based on defect escapes. We present a neural network approach to inspection based on the back propagation model for identifying inspections with defect escapes. Our analysis shows several findings that provide new insights on defect escapes and inspection effectiveness. Our approach is quite novel, not only because of its focus on defect escapes, but also because of its application of neural network techniques to the analysis of software inspection effectiveness. We believe that other software development organizations may benefit from this work as well.

References

[1]
{1} Ackerman, F., Buchwald, L., and Lewski, F., "Software Inspections: An Effective Verification Process", IEEE Software, May 1989, pp. 31-36.
[2]
{2} Fagan, M., "Design and Code Inspections to Reduce Errors in Program Development", IBM Systems Journal, No. 3, 1976, pp. 219-248.
[3]
{3} Goldstein, Matthew, Discrete Discriminant Analysis, New York: Wiley, 1978.
[4]
{4} Humphrey, W., Managing the Software Process, Reading, MA: Addison-Wesley, 1989.
[5]
{5} Jones, C., Applied Software Measurement, New York: McGraw-Hill, 1991.
[6]
{6} Kelly, J., Sherif, J., and Hops, J., "An Analysis of Defect Densities Found during Software Inspections", Journal of Systems and Software, Vol. 17, No. 2, February 1992, pp. 111-117.
[7]
{7} Rumelhart, D. E., Hinton, G. E., and Williams, R. J., "Learning Internal Representations by Error Propagation", Parallel Distributed Processing, Vol. 1, Cambridge, MA: MIT Press, 1986.
[8]
{8} Russell, G., "Experiences with Inspections in Ultralarge-Scale Development", IEEE Software, January 1991, pp. 25-31.
[9]
{9} Schulmeyer, G. and McManus, J., Handbook of Software Quality Assurance, New York: Van Nostrand Reinhold, 1987.
[10]
{10} Yaung, A. T. and Raz, T., Analysis of Defect Escape Data from Inspections in a Multi-Release Software Project, Technical Report TR 71.0046, IBM Corporation, March 1994.
[11]
{11} Wasserman, P. D., Neural Computing, New York: Van Nostrand Reinhold, 1989.
[12]
{12} Weller, E. F., "Lessons from Three Years of Inspection Data", IEEE Software, September 1993, pp. 38-45.

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Information & Contributors

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Published In

cover image DL Hosted proceedings
CASCON '94: Proceedings of the 1994 conference of the Centre for Advanced Studies on Collaborative research
October 1994
781 pages

Sponsors

  • Industry Canada
  • Natural Sciences and Engineering Research Council
  • IBM Canada: IBM Canada
  • NRC: National Research Council - Canada

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IBM Press

Publication History

Published: 31 October 1994

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Overall Acceptance Rate 24 of 90 submissions, 27%

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