Abstract
Last decade has seen several multi up-gradation models and related software release policies. The unified modeling framework for developing multi-release software systems has gained tremendous lime light for prediction of software reliability. Various models have been developed to cater the diversified scenarios like those of imperfect debugging, stochasticity and testing effort related modeling. In the present work, using the unified modeling approach, it has been checked out which release performs best for a particular type of real life scenario. The data for Tandem computers has been utilized for validation purpose.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
https://www.nasa.gov/pdf/418878main_FSWC_Final_Report.pdf. Accessed date 22 Oct 2018
https://www.tricentis.com/blog/software-fail-awards-2018/. Accessed date 04 Feb 2019
https://www.computerworlduk.com/galleries/infrastructure/top-software-failures-recent-history-3599618/. Accessed date 21 Oct 2018
Kapur PK, Pham H, Gupta A, Jha PC (2011) Software reliability assessment with OR applications. Springer, London
Kapur PK, Tandon A, Kaur G (2010) Multi up-gradation software reliability model. In: 2010 2nd international conference on reliability, safety and hazard (ICRESH). IEEE, pp 468–474
Kapur PK, Anand A, Singh O (2011) Modeling successive software up-gradations with faults of different severity. In: Proceedings of the 5th national conference on computing for Nation development. ISSN 0973-7529; ISBN 978-93-80544-00-7
Singh O, Kapur PK, Khatri SK, Singh JNP (2012) Software reliability growth modeling for successive releases. In: Proceeding of 4th international conference on quality. Reliability and infocom technology (ICQRIT), pp 77–87
Anand A, Singh A, Kapur PK, Das S (2014) Modeling conjoint effect of faults testified from operational phase for successive software releases. In: Proceedings of the 5th international conference on life cycle engineering and management (ICDQM), pp 83–94
Anand A, Singh O, Das S (2015) Fault severity based multi up-gradation modeling considering testing and operational profile. Int J Comput Appl 124(4)
Kapur PK, Anand A, Singh O, Hoda MN (2011) Modeling successive software up-gradations with faults of different severity. In: Proceedings of the 5th national conference, INDIACom, pp 351–356
Singh O, Aggrawal D, Anand A, Kapur PK (2015) Fault severity based multi-release SRGM with testing resources. Int J Syst Assur Eng Manage 6(1):36–43
Singh O, Kapur PK, Anand A, Singh J (2009) Stochastic differential equation based modeling for multiple generations of software. In: Proceedings of fourth international conference on quality, reliability and infocom technology (ICQRIT), trends and future directions, Narosa Publications, pp 122–131
Singh O, Kapur PK, Anand A (2011) A stochastic formulation of successive software releases with faults severity. In: 2011 IEEE international conference on industrial engineering and engineering management (IEEM). IEEE, pp 136–140
Aggarwal AG, Kapur PK, Garmabaki AS (2011) Imperfect debugging software reliability growth model for multiple releases. In: Proceedings of the 5th national conference on computing for nation development-INDIACOM, New Delhi
Anand A, Deepika, Verma AK, Ram M (2018) Revisiting error generation and stochastic differential equation-based software reliability growth models. In: System reliability management (pp 65–78). CRC Press, Boca Raton
Anand A, Das S, Aggrawal D, Kapur PK (2018) Reliability analysis for upgraded software with updates. In: Quality, IT and business operations (pp 323–333). Springer, Singapore
Das S, Aggrawal D, Anand A (2019) An alternative approach for reliability growth modeling of a multi-upgraded software system. In: Recent advancements in software reliability assurance (pp 93–105). CRC Press, Boca Raton
Anjum M, Haque MA, Ahmad N (2013) Analysis and ranking of software reliability models based on weighted criteria value. IJ Inf Technol Comput Sci 2:1–14
Anand A, Kapur PK, Agarwal M, Aggrawal D (2014) Generalized innovation diffusion modeling & weighted criteria based ranking. In: Proceedings of 3rd international conference on reliability, infocom technologies and optimization. IEEE, pp 1–6
Anand A, Bhatt N (2016) Vulnerability discovery modeling and weighted criteria based ranking. J Ind Soc Probab Stat 17(1):1–10
Wood A (1996) Predicting software reliability. Computer 29(11):69–77
Acknowledgements
The research work presented in this chapter is supported by grants to the first author from DST, via DST PURSE Phase II, India.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Anand, A., Gupta, P., Tamura, Y., Ram, M. (2020). Software Multi Up-Gradation Modeling Based on Different Scenarios. In: Ram, M., Pham, H. (eds) Advances in Reliability Analysis and its Applications. Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-31375-3_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-31375-3_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-31374-6
Online ISBN: 978-3-030-31375-3
eBook Packages: EngineeringEngineering (R0)