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
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Article:Discovery of Reliable Software using GOM on Interval Domain Data

by Dr. R. Satya Prasad, D. Haritha
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 32 - Number 5
Year of Publication: 2011
Authors: Dr. R. Satya Prasad, D. Haritha
10.5120/3898-5461

Dr. R. Satya Prasad, D. Haritha . Article:Discovery of Reliable Software using GOM on Interval Domain Data. International Journal of Computer Applications. 32, 5 ( October 2011), 7-12. DOI=10.5120/3898-5461

@article{ 10.5120/3898-5461,
author = { Dr. R. Satya Prasad, D. Haritha },
title = { Article:Discovery of Reliable Software using GOM on Interval Domain Data },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 32 },
number = { 5 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume32/number5/3898-5461/ },
doi = { 10.5120/3898-5461 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:18:21.931177+05:30
%A Dr. R. Satya Prasad
%A D. Haritha
%T Article:Discovery of Reliable Software using GOM on Interval Domain Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 32
%N 5
%P 7-12
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software reliability growth models using Non-Homogeneous Poisson Process(NHPP) with a mean value function –dependent on Linearly falling fault detection rate as proposed in the literature is considered. The well known Sequential Probability Ratio Test (SPRT) procedure of statistical science is adopted for the model in order to decide upon the reliability/ unreliability of developed software. The performance of the proposed model is demonstrated 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 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”
  10. International Journal of Advanced Computer Science and Applications Vol.2, No: 8, pp.60-63.
  11. R. Satya Prasad and Krishna Mohan. G(2011). “Detection Of Reliable Software Using SPRT On Interval Domain Data” , Computer Engineering & Intelligent Systems Vol.2, No: 3, pp.86-93.
  12. R. Satya Prasad and D. Haritha (2011) . “ Detection of Reliable Software Using HLSRGM”, International Journal of Computer Information Systems, Vol. 3 , No. 2,pp.49-53.
Index Terms

Computer Science
Information Sciences

Keywords

GOM Maximum Likelihood Estimation Decision lines Software testing Software failure data

Powered by PhDFocusTM