Home   >   CSC-OpenAccess Library   >    Manuscript Information
A Simplified Model for Evaluating Software Reliability at the Developmental Stage
Shelbi Joseph, Shouri P.V, Jagathy Raj V. P
Pages - 125 - 131     |    Revised - 31-01-2011     |    Published - 08-02-2011
Volume - 1   Issue - 5    |    Publication Date - January / February  Table of Contents
MORE INFORMATION
KEYWORDS
Bugs, Failure density, Failure rate, Open source software , Reliability
ABSTRACT
The use of open source software is becoming more and more predominant and it is important that the reliability of this software are evaluated. Even though a lot of researchers have tried to establish the failure pattern of different packages a deterministic model for evaluating reliability is not yet developed. The present work details a simplified model for evaluating the reliability of the open source software based on the available failure data. The methodology involves identifying a fixed number of packages at the start of the time and defining the failure rate based on the failure data for these preset number of packages. The defined function of the failure rate is used to arrive at the reliability model. The reliability values obtained using the developed model are also compared with the exact reliability values. Key words: Bugs, Failure density, Failure rate, Open source software, Reliability
CITED BY (3)  
1 Princy, B. A., & Sridhar, S. (2014). Measuring Software Reliability and Release Time Using SRGM Tool. International Journal Of Scientific Research And Education, 2(05).
2 Anniprincy, B., & Sridhar, S. Cost Efficient Software Reliability Growth Model Using Gompertz Testing Effort Function.
3 Mallikharjuna, R. K., & Kodali, A. (2014). An Efficient Method for Parameter Estimation of Software Reliability Growth Model Using Artificial Bee Colony Optimization. In Swarm, Evolutionary, and Memetic Computing (pp. 765-776). Springer International Publishing.
1 CiteSeerX 
2 Scribd 
3 SlideShare 
4 PdfSR 
A. L. Goel and K. Okumoto, A time-dependent error-detection rate model for software reliability and other performance measure, IEEE Transactions on Reliability, vol. R-28, 1979, pp. 206-211.
Adalberto Nobiato Crespo, Alberto Pasquini ,”Applying Code Coverage Approach to an Infinite Failure Software Reliabilit Model” , 2009 XXIII Brazilian Symposium on Software Engineering, 2009 IEEE.
B. Littlewood and J.L. Verrall, A Bayesian reliability growth model for computer software, Applied Stastistics, Vol 22, 1973, pp 332-346
Cobra Rahmani,Harvey Siy, Azad Azadmanesh. An Experimental Analysis of Open Source Software Reliability. Department of Defense/Air Force Office of Scientific Research
E.C. Nelson, A Stastistical Basis for Software Reliability Assessment, TRW-SS-73-03. 1973.
Fenghong Zou , Joseph Davis “ A Model of Bug Dynamics for Open Source ”, The second International Conference on Secure System Integration and Reliability Improvement., 2008 IEEE.
Fenghong Zou , Joseph Davis “Analysing and Modeling Open Source Software Bug Report Data’, 19th Australian Confeence on Software Engineering.,2008 IEEE.
H. Pham, Software Reliability Spriner-Veriag , 2000
http://www.debian.orgs
Hudson, A, “Program Error as a British and Death Process”, Technical Report SP- 3011, Santa Monica, Cal,:Systems development Corporation, 1967.
J D Musa and K. Okumoto. A logarithamic Poisson execution time model for software reliability measurement 7th international conference on Software Engineering(ICSE),1984, pp. 230-238
Kan H.S. Metrics and models in software quality engineering, 2nd edition, Addison-Wesley(2003)
Lars M.Karg, Michael Grottke, Arne Beckhausa . Conformance Quality and Failure Costs in the Software Industry: An Empirical Analysis of Open Source Software. 2009 IEEE
M.H.Halstead, Elements of Software Science, North Holand, 1977.
Musa, J.D., Iannino, A. and Okumoto, K. (1987),”Software Reliability: Measurement, Prediction, Application’, pp. 621.
S.P. Leblanc, P.A.Roman Reliability Estimation of Hierarchical Software Systems. 2002 Proceedings annual reliability and maintainability symposium
ShaoPing Wang, Software Engineering. BEIJING BUAA PRESS.
Sharifah Mashita Syed-Mohamad, Tom McBride, ‘Reliability Growth of Open Source Software using Defect Analysis’, 2008 International conference on Computer Science and Software Engineering, 2008 IEEE.
Sharifah Mashita Syed-Mohamad,Tom McBride. A comparison of the Reliability Growth of Open Source and In-House Software. 2008 IEEE 15th Asia-Pacific Software Engineering Conference
Ying ZHOU,Joseph Davis. Open Source Software reliability model: an empirical approach, ACM 2005
Z. Jelinski and P.B. Moranda, Software Reliability research, in Stastistical Computer Performance Evaluation, W. Freiberger, Ed. New York: Academic Press, 1972, pp.465-484
Mr. Shelbi Joseph
- India
achayanshelbil@gmail.com
Mr. Shouri P.V
- India
Mr. Jagathy Raj V. P
- India


CREATE AUTHOR ACCOUNT
 
LAUNCH YOUR SPECIAL ISSUE
View all special issues >>
 
PUBLICATION VIDEOS