CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
Reseach Article

Assessing Reliable Software using SPRT based on LPETM

by R. Satya Prasad, D. Haritha, R. Sindhura
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 19
Year of Publication: 2012
Authors: R. Satya Prasad, D. Haritha, R. Sindhura
10.5120/7294-0112

R. Satya Prasad, D. Haritha, R. Sindhura . Assessing Reliable Software using SPRT based on LPETM. International Journal of Computer Applications. 47, 19 ( June 2012), 6-11. DOI=10.5120/7294-0112

@article{ 10.5120/7294-0112,
author = { R. Satya Prasad, D. Haritha, R. Sindhura },
title = { Assessing Reliable Software using SPRT based on LPETM },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 19 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number19/7294-0112/ },
doi = { 10.5120/7294-0112 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:42:16.809653+05:30
%A R. Satya Prasad
%A D. Haritha
%A R. Sindhura
%T Assessing Reliable Software using SPRT based on LPETM
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 19
%P 6-11
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software reliability assessment is increasingly important in developing and testing new software products. Logarithmic Poisson Execution Time Model (LPETM) is a software reliability model which predicts the expected failures and hence related reliability quantities better than existing software reliability models. It uses Non-Homogeneous Poisson Process(NHPP) with a mean value function that is dependent on exponentially falling fault detection rate. The well known sequential Probability Ratio Test(SPRT) procedure of statistical science is adopted for this model in order to decide upon the reliability / unreliability of developed software. The model is evaluated by using 6 Data Sets.

References
  1. GOEL, A. L and OKUMOTO, K. (1979). "A Time Dependent Error Detection Rate Model For Software Reliability And Other Performance Measures", IEEE Transactions on Reliability, vol. R-28, pp. 206-211, 1979.
  2. MUSA, J. D. , and OKUMOTO, K. (1984). "A Logorithmic Poisson Execution Time Model For Software Reliability Measurement", Proceeding Seventh International Conference on Software Engineering, Orlando, 230-238.
  3. PHAM, H. (2005). "A Generalized Logistic Software Reliability Growth Model", OPSEARCH, Vol. 42, No. 4, 322-331.
  4. Pham. H. , 2006. "System software reliability", Springer.
  5. STIEBER, H. A. (1997). "Statistical Quality Control: How To Detect Unreliable Software Components", Proceedings of the 8th International Symposium on Software Reliability Engineering, 8-12.
  6. WALD (1947). "Sequential Analysis", Wiley,New York.
  7. WOOD, A. (1996). "Predicting Software Reliability",IEEE Computer, 2253-2264.
  8. R. Satya Prasad and G. Krishna Mohan. (2011). "Detection Of Reliable Software Using SPRT On Time Domain Data",International Journal of Computer Science, Engineering and Applications, Vol. 1, No. 4, pp. 92-99.
  9. R. Satya Prasad, N. Supriya and G. Krishna Mohan (2011). "Detection Of Reliable Software Using SPRT" International Journal of Advanced Computer Science and Applications Vol. 2, No: 8, pp. 60-63.
  10. R. Satya Prasad and D. Haritha (2011). " Discovery of Reliable Software using GOM on Interval Domain Data" , International Journal of Computer Applications Volume 32– No. 5, pp. 7-12.
  11. R. Satya Prasad and D. Haritha (2011). "Detection of Reliable Software using HLSRGM" , International Journal of Computer Information Systems ,pp. 49-53.
Index Terms

Computer Science
Information Sciences

Keywords

Lpetm Maximum Likelihood Estimation Unreliable Software Mean Value Function Intensity Function