Papers

Title: Survey in software Reliability Growth Models: Parameter Estimation and Models Ranking
Year of Publication: 2018
Publisher: International Journal of Computer Systems (IJCS)
ISSN: 2394-1065
Series: Volume 05, Number 5, May 2018
Authors: Prof. Amjad Hudaib, Mahmoud Moshref

Citation:

Prof. Amjad Hudaib, Mahmoud Moshref, "Survey in software Reliability Growth Models: Parameter Estimation and Models Ranking", In International Journal of Computer Systems (IJCS), pp: 11-25, Volume 5, Issue 5, May 2018. BibTeX

@article{key:article,
	author = {Prof. Amjad Hudaib, Mahmoud Moshref},
	title = {Survey in software Reliability Growth Models: Parameter Estimation and Models Ranking},
	journal = {International Journal of Computer Systems (IJCS)},
	year = {2018},
	volume = {5},
	number = {5},
	pages = {11-25},
	month = {May}
	}


Abstract

Reliability is the important critical issue in software quality because we use it to test the successful of the software project. In past few decades' number of software reliability growth models (SRGMs) proposed to improve the estimation of software reliability measures such as the number of residual faults, software failure rate, and software reliability. An optimal SRGM for use in a particular case has been an area of interest for researchers to increase error estimation and save time and money. There are several optimization techniques are used to estimate SRGMs parameters to accurately predict the number of faults in software early on the testing process. Other important issue in software reliability is how to select an appropriate SRGM to test the software project, the researcher in this filed use several techniques to do ranking for SRGMs. These paper study characteristics of each software reliability models, methodologies that are used to improve parameter estimation, and models ranking.

References

[1] Syed Wajahat Abbas Rizvia, Vivek Kumar Singh, and Raees Ahmad Khan, " Fuzzy Logic based Software Reliability Quantification Framework: Early Stage Perspective (FLSRQF)", ELSEVIER, Twelfth International Multi-Conference on Information Processing-2016 (IMCIP-2016).
[2] LIANG FUH ONG, MOHD ADHAM ISA, DAYANG N. A. JAWAWI, SHAHLIZA ABDUL HALIM, " IMPROVING SOFTWARE RELIABILITY GROWTH MODEL SELECTION RANKING USING PARTICLE SWARM OPTIMIZATION", Journal of Theoretical and Applied Information Technology 15th January 2017. Vol.95. No.1.
[3] Najla Akram AL-Saati, Marwa Abd-AlKareem, " The Use of Cuckoo Search in Estimating the Parameters of Software Reliability Growth Models", (IJCSIS) International Journal of Computer Science and Information Security, Vol. 11, No. 6, June 2013.
[4] Najeeb Ullah, Maurizio Morisio, Antonio Vetrò, " A METHOD FOR SELECTING SOFTWARE RELIABILITY GROWTH MODEL TO PREDICT OPEN SOURCE SOFTWARE RESIDUAL DEFECTS",2014.
[5] Mallikharjuna Rao K, K. Anuradha, " A New Method to Optimize the Reliability of Software Reliability Growth Models using Modified Genetic Swarm Optimization", International Journal of Computer Applications (0975 – 8887) Volume 145 – No.5, July 2016.
[6] Mohammed Alweshah, Waild Ahmad, Hamza Aldabbs, " Evolution of Software Reliability Growth Models: A Comparison of Auto- Regression and Genetic Programming Models", International Journal of Computer Applications (0975 – 8887) Volume 125 – No.3, September 2015.
[7] Zainab Al-Rahamneh, Mohammad Reyalat, Alaa F. Sheta, Sulieman Bani-Ahmad, Saleh Al-Oqeilil," A New Software Reliability Growth Model: Genetic-Programming-Based Approach", Journal of Software Engineering and Applications, 2011, 4, 476-481 doi:10.4236/jsea.2011.48054 Published Online August 2011.
[8] Chander Diwaker, Pradeep Tomar, " Parameters Estimation of Goel’s Okumotu Model using Simulated Annealing", International Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS), 2014.
[9] Sultan H. Aljahdali, and Mohammed E. El-Telbany, " Genetic Algorithms for Optimizing Ensemble of Models in Software Reliability Prediction", ICGST-AIML Journal, Volume 8, Issue I, June 2008.
[10] Subburaj Ramasamy, and Indhurani Lakshmanan, " Machine Learning Approach for Software Reliability Growth Modeling with Infinite Testing Effort Function", Hindawi Mathematical Problems in Engineering Volume 2017.
[11] Alaa Sheta, " Parameter Estimation of Software Reliability Growth Models by Particle Swarm Optimization", AIML Journal, Volume (7), Issue (1), June, 2007.
[12] Alaa F. Sheta, and Amal Abdel-Raouf, " Estimating the Parameters of Software Reliability Growth Models Using the Grey Wolf Optimization Algorithm", (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 7, No. 4, 2016.
[13] Latha Shanmugam, and Dr. Lilly Florence, " ACOMPARISON OF PARAMETER BEST ESTIMATION METHOD FOR SOFTWARE RELIABILITY MODELS", International Journal of Software Engineering & Applications (IJSEA), Vol.3, No.5, September 2012.
[14] Najla Akram AL-Saati, Marrwa Abd-AlKareem Alabajee, " A Comparative Study on Parameter Estimation in Software Reliability Modelling using Swarm Intelligence", International Journal of Recent Research and Review, Vol. IX, Issue 4, December 2016.
[15] RajPal Garg, Kapil Sharma, Rajive Kumar, R. K. Garg, "Performance Analysis of Software Reliability Models using Matrix Method", World Academy of Science, Engineering and Technology International Journal of Computer and Information Engineering Vol:4, No:11, 2010.
[16] Tao Li, Kaigui Wu, " A NHPP Software Reliability Growth Model Considering Learning Process and Number of Residual Faults", Journal of Convergence Information Technology(JCIT) Volume 7, Number 13, July 2012.
[17] Javaid Iqbal, " Analysis of Some Software Reliability Growth Models with Learning Effects", I.J. Mathematical Sciences and Computing, 2016, 3, 58-70 Published Online July 2016 in MEC.
[18] Karambir Bidhan, Adima Awasthi, " A Review on Parameter Estimation Techniques of Software Reliability Growth Models", International Journal of Computer Applications Technology and Research Volume 3– Issue 4, 267 - 272, 2014, ISSN: 2319–8656.
[19] Zunana KRAJCUSKOVA, " A BRIEF SURVEY OF RELIABILITY GROWTH MODELS ".
[20] Nguyen Hung-Cuong, Huynh Quyet-Thang, Le Hai- Trieu, "Different Ranking of NHPP Software Reliability Growth Models with Generalised Measure and Predictability", International Journal of Applied Information Systems (IJAIS) ISSN : 2249-0868 Foundation of Computer Science FCS, New York, USA Volume 7 -No. 11, November 2014.
[22] Kwang Yoon Song , In Hong Chang , and Hoang Pham, " A Software Reliability Model with a Weibull Fault Detection Rate Function Subject to Operating Environments", applied science MDPI Journal, 2017, 7, 983.
[23] Archana Kumar, Abhinav Juneja,Sapna Bajaj," HASSE DIAGRAM TECHNIQUE BASED RANKING OF SOFTWARE RELIABILITY GROWTH MODELS", JETIR (ISSN-2349-5162), November 2017, Volume 4, Issue 11.
[24] Mohd. Anjum, Md. Asraful Haque, Nesar Ahmad, " Analysis and Ranking of Software Reliability Models Based on Weighted Criteria Value", I.J. Information Technology and Computer Science, 2013, 02, 1-14 Published Online January 2013 in MECS.
[25] Dalbir Kaur, Monika Sharma, " Software Reliability Models: Time between failures and Accuracy estimation", (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 6 (4) , 2015, 3370-3373.
[26] Alan Wood, " Software Reliability Growth Model", Tandem Technical Report 96.1 Part Number 130056 © Tandem Computers, 1996.
[27] Neha Miglani, and Poonam Rana, " Ranking of Software Reliability Growth Models using Greedy Approach", Global Journal of Business Management.

Keywords

T-SRGMs, parameter estimation, models ranking.