A SOFTWARE RELIABILITY GROWTH MODEL FOR VITAL QUALITY METRICS

Authors

  • R. Subburaj Electronics Test and Development Center (ETDC) and Center For Reliability (CFR)
  • G. Gopal Department of Statistics, University of Madras
  • P.K. Kapur Department of Operational Research, University of Delhi

DOI:

https://doi.org/10.7166/18-2-121

Abstract

ENGLISH ABSTRACTA Non-Homogenous Poisson Process (NHPP) model whose failure intensity function has the same mathematical form as that of a generalized exponential function was proposed for application as a Software Reliability Growth Model (SRGM). However, in order to facilitate collecting quality metrics pertaining to the degree of imperfect or efficient debugging phenomena and the number of faults left in the software, in this paper the authors propose an extension to the above SRGM. This SRGM enables adequate goodness of fit statistic and predictive validity, even when the software projects witness learning phenomenon of the testing team, either imperfect or perfect or efficient software debugging phenomenon, as well as wide fluctuations in time between failures

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Published

2011-11-05

How to Cite

Subburaj, R., Gopal, G., & Kapur, P. (2011). A SOFTWARE RELIABILITY GROWTH MODEL FOR VITAL QUALITY METRICS. The South African Journal of Industrial Engineering, 18(2). https://doi.org/10.7166/18-2-121

Issue

Vol. 18 No. 2 (2007)

Section

General Articles

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