Research Article
Software Reliability Growth Model with Efficient Debugging Involving Time Dependent Fault Content Function
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 87 - Issue 10 |
| Published: February 2014 |
| Authors: Suneet Saxena, Digvijay Choudhary, Ajay Gupta |
10.5120/15248-3801
|
Suneet Saxena, Digvijay Choudhary, Ajay Gupta . Software Reliability Growth Model with Efficient Debugging Involving Time Dependent Fault Content Function. International Journal of Computer Applications. 87, 10 (February 2014), 57-59. DOI=10.5120/15248-3801
@article{ 10.5120/15248-3801,
author = { Suneet Saxena,Digvijay Choudhary,Ajay Gupta },
title = { Software Reliability Growth Model with Efficient Debugging Involving Time Dependent Fault Content Function },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 87 },
number = { 10 },
pages = { 57-59 },
doi = { 10.5120/15248-3801 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Suneet Saxena
%A Digvijay Choudhary
%A Ajay Gupta
%T Software Reliability Growth Model with Efficient Debugging Involving Time Dependent Fault Content Function%T
%J International Journal of Computer Applications
%V 87
%N 10
%P 57-59
%R 10.5120/15248-3801
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The paper presents NHPP software reliability growth model exhibiting efficient debugging phenomenon. In efficient debugging, cumulative faults corrected more than the faults responsible for software failures. Proposed model incorporates time dependent exponential fault content function and I/D pattern of learning process. Parameters are estimated by LSE and goodness of fit is performed. Determination of MSE and R^2 indicates model is fit better to given dataset. Finally software reliability has been analyzed.
References
- Lyu, M. R. 1996. Handbook of Software Reliability Engineering, McGraw- Hill and IEEE Computer Society, pp. 27-164, New York.
- Musa. 2005 DACS software reliability dataset, Data & Analysis Center for Software, J. D. 980. www. dacs. dtic. mil/databases/sled/swrel. shtml.
- Pham, H. , Nordmann, L. , and Zhang, X. 1999. A general imperfect-software debugging model with S-shaped fault-detection rate, IEEE Transactions on Reliability, Vol. 48, No. 2, pp. 169-175.
- Subburaj, R. , Gopal, G. , and Kapur, P. K. 2007. A software reliability growth model for vital quality metrics, South African Journal of Industrial Engineering, vol 18(2), pp 93-108.
- Subburaj, R. , and Gopal, G. 2006. Generalized Exponential Poisson Model for software reliability growth, International Journal of Performability Engineering, Vol. 2, No. 3, pp. 291-301.
- Xie, M. 2003. A study of the effect of imperfect debugging on software development cost, IEEE Transactions on Software Engineering, Vol. 29, No. 5, pp. 471-473.
- Zeephongsekul, P. , Xia, G. , and Kumar, S. 1994. Software-reliability growth model: Primary-failures generate secondary-faults under imperfect debugging, IEEE Transactions on Reliability, Vol. 43(3), pp. 408-413.
- Yamada, S. , and Osaki, S. 1985. Software reliability growth modeling: Models and applications, IEEE Transactions on Software Engineering, Vol. SE-11(12), pp. 1431-1437.
- Zhang, X. , Teng, X. , and Pham, H. 2003. Considering fault removal efficiency in software reliability assessment, IEEE Transactions on Systems, Man and Cybernetics – part A: Systems and Humans, vol. 33 (1), pp. 114-120.
- Zhang, X. M, Teng, X. L. , and Pham, H. 2003. Considering fault removal efficiency in software reliability assessment, IEEE Trans. Systems, Man, and Cybernetics?Part A: System and Humans, vol. 33, no. 1, pp. 114-120.
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