A Modified Genetic Algorithm for Parameter Estimation of Software Reliability Growth Models

  • Authors:

  • Chao-Jung Hsu;Chin-Yu Huang;Tsan-Yuan Chen

  • Affiliations:

  • -;-;-

  • Venue:
  • ISSRE '08 Proceedings of the 2008 19th International Symposium on Software Reliability Engineering
  • Year:
  • 2008

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Abstract

In this paper, we propose a modified genetic algorithm (MGA) with calibrating fitness functions, weighted bit mutation, and rebuilding mechanism for the parameter estimation of software reliability growth models (SRGMs). An example using a real failure data is given to demonstrate the performance of proposed method. Experimental result shows that MGA is effective for estimating the parameters of SRGM.