Estimation of software reliability and development cost using interval type-2 fuzzy AHP

Chatterjee, Saikat; Chaudhuri, Bhagyashree; Bhar, Chandan; Shukla, Ankur

doi:10.1109/ictus.2017.8286094

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…To reduce subjectivity, Huang Y et al improved the index weight judgment matrix based on fuzzy theory and proposed a new weight determination method [3]. S. Chatterjee introduced fuzzy mathematics to improve the AHP, which reduced the subjectivity [4]. The improved AHP has a certain reduced subjectivity, but the expert weights still exist.…”

Section: A Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

Research on Network Risk Evaluation Method Based on a Differential Manifold

et al. 2020

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With the rapid development of networks, network security is a serious problem. To evaluate a network accurately, this paper proposes a network risk evaluation method based on a differential manifold (DM) and research on traditional methods. The DM divides the network risk evaluation into network structure risk and network behavior risk evaluations. Network structure risk evaluates the network identity, and network behavior risk evaluates the attack and defense of the network. Network assets and asset vulnerabilities characterize a network, and the analytic hierarchy process (AHP) and the Common Vulnerability Scoring System (CVSS) are combined to evaluate the network identity. Network behavior causes high-dimensional indicator changes, and DMs are used to measure network behavior. To examine the effectiveness and accuracy of DMs, two experiments were performed. The experimental results show that the DM method is valid and accurate for evaluating network risk.INDEX TERMS Network risk evaluation, differential manifold, Riemannian manifold, analytic hierarchy process, common vulnerability scoring system.

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Section: A Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

Research on Network Risk Evaluation Method Based on a Differential Manifold

et al. 2020

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Multi-objective Release Time Problem for Modular Software using Fuzzy Analytical Hierarchy Process

Neha

Aggarwal

Jaiswal

2021

Springer Series in Reliability Engineering

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Fuzzy cognitive network process for software reliability and quality measurement: comparisons with fuzzy analytic hierarchy process

Yuen

2024

J Reliable Intell Environ

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Software reliability and quality measurement has a long-lasting impact on the final products and user experiences. The analytic hierarchy process (AHP) and its various hybrid models, including fuzzy AHP, have been applied to software reliability and quality measurement in various aspects. Related studies indicate that limitations in the paired ratio scales of AHP may lead to misapplications, which most AHP users might not be aware of. To address this issue, the fuzzy cognitive network process (FCNP) is proposed as a promising alternative applied for software reliability and quality measurement. One application based Fuzzy AHP is revisited to demonstrate the feasibility and usability of the FCNP. The paper discusses conversion from the FAHP to the FCNP, examining their reproducibility, comparability, merits, and limitations. The proposed fuzzy CNP method can a valuable tool for software customers, designers, developers, testers, and purchasers, to evaluate the level of software reliability and quality in general applications within intelligent environment.

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Estimation of software reliability and development cost using interval type-2 fuzzy AHP

Cited by 4 publications

References 17 publications

Research on Network Risk Evaluation Method Based on a Differential Manifold

Research on Network Risk Evaluation Method Based on a Differential Manifold

Multi-objective Release Time Problem for Modular Software using Fuzzy Analytical Hierarchy Process

Fuzzy cognitive network process for software reliability and quality measurement: comparisons with fuzzy analytic hierarchy process

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