Quantifying software quality

  • Authors:
  • Kenneth S. Hendis

  • Affiliations:
  • -

  • Venue:
  • ACM '81 Proceedings of the ACM '81 conference
  • Year:
  • 1981

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Abstract

In Software Quality Assurance the quality of the program must be defined in practical and measurable terms. This is accomplished by first standardizing the error reporting technique, identifying the types and frequency of occurrence of software errors experienced, and finally, predicting the error arrival rate of the software programs. This paper details a practical approach to quantifying software quality by investigating empirical software error data. Software failure trend analysis and residual error predictions are the by-products of this technique. Successfully applied to software engineering projects, the author reports on the findings and details an implementation plan.