International Journal of Soft Computing

Year: 2016
Volume: 11
Issue: 3
Page No. 165 - 171

The Comparative Study for Statistical Process Control of Software Reliability Model Based on Finite and Infinite NHPP Using Rayleigh Distribution

Authors : Hee-CheulKim

References

Aneesh, C., 2011. Efficiency in software development projects. Int. J. Software Eng. Applic., 5: 171-180.
Direct Link  |  

Boffoli, N., G. Bruno, D. Cavivano and G. Mastelloni, 2008. Statistical process control for Software: A sys-tematic approach. Proceedings of the Second ACM-IEEE International Symposium on Empirical Software Engineering and Measurement. October 09-10, 2008, Kaiserslautern, Germany, pp: 327-329.

Burr, A. and M. Owen, 1996. Statistical Methods for Software Quality: Using Metrics to Control Process and Product Quality. Coriolis Group, UK., ISBN-13: 978-1850321712, Pages: 453.

Dubey, S.D., 1973. Statistical treatment of certain life testing and reliability problems. Final Report, Accession Number : AD0774537, pp: 73-0155.

Goel, A.L. and K. Okumoto, 1979. Time-dependent error-detection rate model for software reliability and other performance measure. IEEE Trans. Reliab., R-28: 206-211.
CrossRef  |  Direct Link  |  

Gokhale, S.S. and K.S. Trivedi, 1999. A time/structure based software reliability model. Ann. Software Eng., 8: 85-121.
CrossRef  |  

Hayakawa, Y. and G. Telfar, 2000. Mixed poisson-type processes with application in software reliability. Math. Comput. Model., 31: 151-156.
CrossRef  |  Direct Link  |  

Kanoun, K. and J.C. Laprie, 1996. Trend Analysis. In: Handbook of Software Reliability Engineering, Lyu, M.R. (Ed.). IEEE Computer Society Press, New York, ISBN-13: 9780070394001, pp: 401-437.

Kim, H.C., 2013. Assessing software reliability based on NHPP using SPC. Int. J. Software Eng. Applic., 7: 61-70.
Direct Link  |  

Komuro, M., 2006. Experiences of applying SPC techniques to software development processes. Proceedings of the 28th International Conference on Software Engineering, May 20-28, 2006, Shanghai, China, pp: 577-584.

Kuo, L. and T.Y. Yang, 1996. Bayesian computation for nonhomogeneous poisson process in software reliability. J. Am. Stat. Assoc., 91: 763-773.
Direct Link  |  

Prasad, R.S., K. Ramchand, H. Rao and R.R.L. Kantham, 2011. Software reliability measuring using modified maximum likelihood estimation and SPC. Int. J. Comput. Applic., 21: 1-5.
CrossRef  |  Direct Link  |  

Rao, R.K.H., R.S. Prasad and R.R.L. Kantham, 2011. Assessing software reliability using SPC: An order statistics approach. Int. J. Comput. Sci. Eng. Applic., 1: 122-131.
Direct Link  |  

Ravi1, D.S.P., N. Supriya and G.K. Mohan, 2011. SPC for software reliability: Imperfect software debugging model. Int. J. Comput. Sci., 8: 219-224.

Sargut, K.U. and O. Demirors, 2006. Utilization of statistical process control (SPC) in emergent software organizations: Pitfalls and suggestions. Software Qual. J., 14: 135-157.
CrossRef  |  

Shin, H. D. and H.C. Kim, 2014. Assessing rayleigh software reliability model based on NHPP using SPC. J. Next Gen. Inform. Technol., 5: 77-84.
Direct Link  |  

Soni, D.R., D.A. Jolly and A. Rana, 2011. Effect of residual defect density on software re-lease management. Int. J. Software Eng. Applic., 5: 151-158.

Tadikamalla, P.R., 1980. A look at the Burr and related distributions. Int. Stat. Rev., 48: 337-344.
Direct Link  |  

Xie, M., T.N. Goh and P. Ranjan, 2002. Some effective control chart procedures for reliability monitoring. Reliab. Eng. Syst. Safe., 77: 143-150.
CrossRef  |  Direct Link  |  

Yamada, S., M. Ohba and S. Osaki, 1983. S-shaped reliability growth modeling for software error detection. IEEE. Reliab. Trans., R-32: 475-484.
CrossRef  |  Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved