Improving Software Reliability Predictions Through Incorporating Learning Effects
AbstractSoftware reliability is one of the major metrics for software quality evaluation. In reliability engineering, testing phase specifying the process of measuring software reliability. In this paper; we examine the effect of incorporating the autonomous errors detected factor and learning factor in enhancing the prediction accuracy with application to the software failure data. For this purpose, Non-Homogenous Poisson Process (NHPP) model with the perspective of learning effects based on the Log-Logistic (LL) distribution is proposed. The parameter estimation using the Non-Linear Least Squares Estimation (NLSE) method is conducted. Two goodness-of-fit tests are used to evaluate the proposed models. This paper encourages software developers for considering the learning effects property in software reliability modeling.
Yamada S. and Ohba H. (1983). “S-shaped software reliability modeling for software error detection”, IEEE Trans Reliab; 32:475–84.
Ohba M. (1984). “Inflexion S-shaped software reliability growth models”, Stochastic Models in Reliability Theory (S. Osaki, Y. Hatoyama, Eds), Springer- Verlag Merlin, pp.144 – 162.
Shyur H. J. (2003). “A stochastic software reliability model with imperfect debugging and change-point”, J Syst Software, 66:135–41.
Ahmad N., Khan M.G.M., and Rafi L.S. (2011). “Analysis of an Inflection S-shaped Software Reliability Model Considering Log-logistic Testing-Effort and Imperfect Debugging”, International Journal of Computer Science and Network Security, Vol. 11 (1), pp. 161 – 171.
Iqbal J., Ahmad N., and Quadri S. M. K. (2013). “A Software Reliability Growth Model with Two types of Learning”, Proceedings of the 1st IEEE International Conference on Machine Intelligence Research and Advancement, SMVDU, Jammu, India, pp. 498–503.
Chiu K. (2011)."An improved model of software reliability growth under time-dependent learning effects", IEEE International Conference on Quality and Reliability, Bangkok, pp. 191-194. doi: 10.1109/ICQR.2011.6031707
Iqbal, J. , Quadri , S.M.K. , and Ahmad, N. (2014). An Imperfect-Debugging Model with Learning-Factor Based Fault-Detection Rate. Proceedings of the 2014 IEEE International Conference on Computing for Sustainable Global Development (INDIA Com), (pp. 383-387).
Lyu, M. R. (2002). Software Reliability Theory, Encyclopedia of Software Engineering, Wiley, pp. 1611-1630.
Kuei-Chen, C., Yeu-Shiang, H., and Tzai-Zang, L. (2008). “A study of software reliability growth from the perspective of learning effects”, Reliability Engineering and System Safety 93, pp. 1410–1421.
Marquardt, D. (1963). An algorithm for least-squares estimation of non-linear parameters. SIAM Journal of Applied Mathematics, 11(2), pp. 431-441.
Singh V. B., Kapur P. K., and Mashaallah Basirzadeh. (2011). "Open Source Software Reliability Growth Model by Considering Change-Point." BIJIT - BVICAM’s International Journal of Information Technology, Vol. 4 No. 1, pp.405 – 410.
Goel, A.L. and Okumoto, K. (1979). Time-Dependent Error-Detection Rate Model for Software Reliability and other Performance Measures, IEEE Trans. Reliability, R-28, 3, pp. 206-211.
Lyu, M. R. (1996), Handbook of Software Reliability Engineering, IEEE Computer Society Press, McGraw-Hill, New York .
Cox D.R., Lewis P. A.W. (1966). The Statistical Analysis of Series of Events. Methuen & Co., Ltd., London; John Wiley & Sons, Inc., New York.
Black S.E., Rigdon S.E. (1996). Statistical inference for a modulated power law process. Journal of Quality Technology, 28.1:81-90.
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