Software reliability growth modeling for agile software development

Rawat, Shubham; Goyal, Nupur; Ram, Mangey

doi:10.1515/amcs-2017-0054

Abstract

The frequent incremental release of software in agile development impacts the overall reliability of the product. In this paper, we propose a generic software reliability model for the agile process, taking permanent and transient faults into consideration. The proposed model is implemented using the NHPP (non-homogenous Poisson process) and the Musa model. The comparison of the two implementations yields an effective, empirical and reliable model for agile software development.

References

Aggarwal, A.G., Kapur, P. and Garmabaki, A. (2011). Imperfect debugging software reliability growth model for multiple releases, Proceedings of the 5th National Conference on Computing for Nation Development-INDIACOM, New Delhi, India, pp. 337-344. Agile Alliance (2017). http://www.agilealliance.org/.
Search in Google Scholar Back to article
Dingsøyr, T. and Lassenius, C. (2016). Emerging themes in agile software development: Introduction to the special section on continuous value delivery, Information and Software Technology 77(1): 56-60.10.1016/j.infsof.2016.04.018
Search in Google Scholar Back to article
Fang, C.-C. and Yeh, C.-W. (2016). Effective confidence interval estimation of fault-detection process of software reliability growth models, International Journal of Systems Science 47(12): 2878-2892.10.1080/00207721.2015.1036474
Open DOI Search in Google Scholar Back to article
Farr, W. (1996). Software reliability modeling survey, in M.R. Lyu (Eds.), Handbook of Software Reliability Engineering, McGraw-Hill, Inc. Hightstown, NJ, pp. 71-117.
Search in Google Scholar Back to article
Goel, A.L. (1985). Software reliability models: Assumptions, limitations, and applicability, IEEE Transactions on Software Engineering 11(12): 1411-1423.10.1109/TSE.1985.232177
Open DOI Search in Google Scholar Back to article
Goel, A.L. and Okumoto, K. (1979). Time-dependent error-detection rate model for software reliability and other performance measures, IEEE Transactions on Reliability 28(3): 206-211.10.1109/TR.1979.5220566
Open DOI Search in Google Scholar Back to article
Goel, A.L. and Okumoto, K. (1980). A time dependent error detection rate model for software performance assessment with applications, Technical report, DTIC Document, http://www.dtic.mil/docs/citations/ADA088186.
Search in Google Scholar Back to article
Goyal, N. and Ram, M. (2014). Software development life cycle testing analysis: A reliability approach, Mathematics in Engineering, Science & Aerospace 5(3): 313-329.
Search in Google Scholar Back to article
Jelinski, Z. and Moranda, P. (1972). Software reliability research, in W. Freiberger (Ed.), Statistical Computer Performance Evaluation, Academic Press, New York, NY, pp. 465-484.10.1016/B978-0-12-266950-7.50028-1
Search in Google Scholar Back to article
Kapur, P., Sachdeva, N. and Singh, J.N. (2014). Optimal cost: A criterion to release multiple versions of software, International Journal of System Assurance Engineering and Management 5(2): 174-180.10.1007/s13198-014-0228-3
Search in Google Scholar Back to article
Kapur, P., Younes, S. and Agarwala, S. (1995). Generalised Erlang model with n types of faults, ASOR Bulletin 14(1): 5-11.
Search in Google Scholar Back to article
Lai, R. and Garg, M. (2012). A detailed study of NHPP software reliability models, Journal of Software 7(6): 1296-1306.10.4304/jsw.7.6.1296-1306
Search in Google Scholar Back to article
Matsumoto, K.I., Inoue, K., Kikuno, T. and Torii, K. (1988). Experimental evaluation of software reliability growth models, 11th International Symposium FTCS-18, Tokyo, Japan, pp. 148-153.
Search in Google Scholar Back to article
Musa, J.D., Iannino, A. and Okumoto, K. (1987). Software Reliability: Measurement, Prediction, Application, McGraw-Hill, Inc., New York, NY.
Search in Google Scholar Back to article
Palma, J., Tian, J. and Lu, P. (1993). Collecting data for software reliability analysis and modeling, Proceedings of the 1993 Conference of the Centre for Advanced Studies on Collaborative Research: Software Engineering, Toronto, Canada, Vol. 1, pp. 483-494.
Search in Google Scholar Back to article
Pandey, A.K.and Goyal, N.K. (2015). Background: Software quality and reliability prediction, in A.K. Pandey and N.K. Goyal (Eds.), Early Software Reliability Prediction, Studies in Fuzziness and Soft Computing, Vol. 303, Springer, New Delhi, pp. 17-33.
Search in Google Scholar Back to article
Pham, H. and Zhang, X. (2003). NHPP software reliability and cost models with testing coverage, European Journal of Operational Research 145(2): 443-454.10.1016/S0377-2217(02)00181-9
Search in Google Scholar Back to article
Pham, L. and Pham, H. (2000). Software reliability models with time-dependent hazard function based on Bayesian approach, IEEE Transactions on Systems, Man, and Cybernetics A: Systems and Humans 30(1): 25-35.10.1109/3468.823478
Search in Google Scholar Back to article
Rawat, S., Rawat, R.S. and Ram, M. (2015). A review on software reliability: Metrics, models and tools, Mathematics in Engineering, Science & Aerospace 6(2): 135-156.
Search in Google Scholar Back to article
Singh, O., Anand, A., Aggrawal, D. and Singh, J. (2014). Modeling multi up-gradations of software with fault severity and measuring reliability for each release, International Journal of System Assurance Engineering and Management 5(2): 195-203.10.1007/s13198-014-0225-6
Search in Google Scholar Back to article
Singh, V., Kapur, P. and Mashaallh, B. (2008). Considering errors of different severity in software reliability growth modeling using fault dependency and various debugging time lag functions, in A.K. Verma et al. (Eds.), Proceedings of Advances in Performance and Safety of Complex Systems, MacMillan India, New Delhi, pp. 839-849.
Search in Google Scholar Back to article
Sommerville, I. (2011). Software Engineering, Addison-Wesley, Boston, MA. West, D., Grant, T., Gerush, M. and Dsilva, D. (2010). Agile development: Mainstream adoption has changed agility, Forrester Research 2(1): 41.
Search in Google Scholar Back to article
Wilson, T. (1997). Software failure: Management failure. Amazing stories and cautionary tales, International Journal of Information Management 17(5): 387.10.1016/S0268-4012(97)84665-8
Open DOI Search in Google Scholar Back to article
Yamada, S. (1994). Optimal release problems with warranty period based on a software maintenance cost model, Transactions of the Information Processing Society of Japan 35(9): 2197-2202.
Search in Google Scholar Back to article
Yamada, S., Ohba, M. and Osaki, S. (1983). S-shaped reliability growth modeling for software error detection, IEEE Transactions on Reliability 32(5): 475-484. 10.1109/TR.1983.5221735
Open DOI Search in Google Scholar Back to article
Yamada, S., Ohba, M. and Osaki, S. (1984). S-shaped software reliability growth models and their applications, IEEE Transactions on Reliability 33(4): 289-292.10.1109/TR.1984.5221826
Open DOI Search in Google Scholar Back to article

Software reliability growth modeling for agile software development

Abstract

Paradigm

My account