Optimal cost: a criterion to release multiple versions of software

Kapur, P. K.; Sachdeva, Nitin; Singh, Jyotish N. P.

doi:10.1007/s13198-014-0228-3

Cited by 21 publications

(15 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Very few attempts have been made to model and find the optimal software release time for multi up-graded software systems. Something similar has been done by Kapur, et al [14], who applied the concept of multi-attribute utility theory. However, these attempts were all done under a crisp environment.…”

Section: Background and Literature Reviewmentioning

confidence: 72%

“…They further explain that TEF for each release follows an exponential and S-shaped curve. Kapur, et al [14] developed an optimal cost model to find out the testing stop time for each release. They considered the accumulation of various costs incurred during the testing phase of new releases and the removal of leftover faults in the operational phase of the ongoing version and in the testing phase of the upcoming release.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Scheduling Policy for a Multi-upgraded Software System under Fuzzy Environment

et al. 2019

View full text Add to dashboard Cite

Many reliability growth models related to the concept of multi upgradation have recently been proposed. This concept has helped software developers to develop a competitive edge over competitors by regularly introducing their software upgrades in the market at the optimal moment. The software reliability literature offers many different release-time policies, both under crisp and fuzzy environment. This paper presents a generic model of a multi-upgraded software system. The optimal scheduling policy for software under a fuzzy environment was determined. The proposed model was examined on a real-life failure data set of four software releases. The results obtained are encouraging.

show abstract

Section: Background and Literature Reviewmentioning

confidence: 72%

Section: Background and Literature Reviewmentioning

confidence: 99%

Optimal Scheduling Policy for a Multi-upgraded Software System under Fuzzy Environment

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Thus, the mean value function of the software reliability growth model can be written as (Kapur et al, 2014) …”

Section: Formulation Of the Srgmmentioning

confidence: 99%

Software reliability growth modeling for agile software development

Rawat

Goyal

Ram

2017

International Journal of Applied Mathematics and Computer Science

View full text Add to dashboard Cite

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.

show abstract

“…Also, when to release a new version of software is a significant issue for software companies. [31][32][33] Decisions of releasing different versions of software are very crucial. 19,31 If testing stops too early, many faults will remain in software, and on the other hand, if testing is carried out for extended time, it consumes more resources and efforts.…”

Section: Introductionmentioning

confidence: 99%