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Using Neural Networks In Software Metrics

Author

Listed:
  • Ion I. Bucur

    (University “Politehnica” of Bucharest)

  • Nicolae Begnescu

    (University “Politehnica” of Bucharest)

Abstract

Software metrics provide effective methods for characterizing software. Metrics have traditionally been composed through the definition of an equation, but this approach is limited by the fact that all the interrelationships among all the parameters be fully understood. Derivation of a polynomial providing the desired characteristics is a substantial challenge. In this paper instead of using conventional methods for obtaining software metrics, we will try to use a neural network for that purpose. Experiments performed in the past on two widely known metrics, McCabe and Halstead, indicate that this approach is feasible.

Suggested Citation

  • Ion I. Bucur & Nicolae Begnescu, 2007. "Using Neural Networks In Software Metrics," Journal of Information Systems & Operations Management, Romanian-American University, vol. 1(1), pages 80-85, Winter.
    • Handle: RePEc:rau:jisomg:v:1:y:2007:i:1:p:80-85
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