Measuring software reliability under the influence of an infected patch

Kaur, Jasmine; Anand, Adarsh; Singh, Ompal; Kumar, Vijay

doi:10.2298/yjor200117005k

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…Lately, to make the time decision under a crisp and fuzzy environment for each release, a mathematical model has been proposed by Anand et al (2019b) and Das et al (2019). Kaur et al (2021) have studied the impact of an infected patch on the fault content of the software and its reliability. Yang and Qian (2020) have discussed the pricing strategy of the software firm to analyze the user's buying and patching behavior.…”

Section: Introductionmentioning

confidence: 99%

An optimal scheduling policy for upgraded software with updates

Anand

Das

Agarwal

et al. 2021

IJQRM

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PurposeIn the current market scenario, software upgrades and updates have proved to be very handy in improving the reliability of the software in its operational phase. Software upgrades help in reinventing working software through major changes, like functionality addition, feature enhancement, structural changes, etc. In software updates, minor changes are undertaken which help in improving software performance by fixing bugs and security issues in the current version of the software. Through the current proposal, the authors wish to highlight the economic benefits of the combined use of upgrade and update service. A cost analysis model has been proposed for the same.Design/methodology/approachThe article discusses a cost analysis model highlighting the distinction between launch time and time to end the testing process. The number of bugs which have to be catered in each release has been determined which also consists of the count of latent bugs of previous version. Convolution theory has been utilized to incorporate the joint role of tester and user in bug detection into the model. The cost incurred in debugging process was determined. An optimization model was designed which considers the reliability and budget constraints while minimizing the total debugging cost. This optimization was used to determine the release time and testing stop time.FindingsThe proposal is backed by real-life software bug dataset consisting of four releases. The model was able to successfully determine the ideal software release time and the testing stop time. An increased profit is generated by releasing the software earlier and continues testing long after its release.Originality/valueThe work contributes positively to the field by providing an effective optimization model, which was able to determine the economic benefit of the combined use of upgrade and update service. The model can be used by management to determine their timelines and cost that will be incurred depending on their product and available resources.

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Section: Introductionmentioning

confidence: 99%

An optimal scheduling policy for upgraded software with updates

Anand

Das

Agarwal

et al. 2021

IJQRM

Self Cite

View full text Add to dashboard Cite

show abstract

Uncertain differential equation based software belief reliability growth model (SBRGM) considering software patching

Garg,

Kumar,

Chaudhary

et al. 2024

Int J Syst Assur Eng Manag

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Software Reliability Growth Modelling Framework to Study SDN Controllers

Anand,

Gupta,

Chhipa

et al. 2023

Preprint

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SDN, as an emerging centralized network control platform, has been studied widely by many researchers. To make this complex and fine-grained network platform more reliable and secure, the need to understand its fault debugging pattern was observed. The testing phase of the software has undoubtedly been considered as a crucial phase that ensures high quality network architecture to its users. The pre-release testing activities are solely conducted by the testers where the debugging process after its release comprises both testers and users. The study of the joint role of testers and users has been devoid in the field of network systems. This paper methodically models the complete testing profile (before and after release) of the SDN Controller. The two-staged modeling process is utilized to model the detection and resolution of network faults after its release in which the joint debugging activities of testers and users are catered with the help of Stieltjes convolution. The two-stage model addresses the release point transition. The proposal has been validated on two real life failure data sets. The validation shows promising results.

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Measuring software reliability under the influence of an infected patch

Cited by 4 publications

References 17 publications

An optimal scheduling policy for upgraded software with updates

An optimal scheduling policy for upgraded software with updates

Uncertain differential equation based software belief reliability growth model (SBRGM) considering software patching

Software Reliability Growth Modelling Framework to Study SDN Controllers

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