An intuitionistic fuzzy projection-based approach and application to software quality evaluation

Yue, Chuan

doi:10.1007/s00500-019-03923-6

Cited by 17 publications

(5 citation statements)

References 52 publications

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“…Quality Definitions could be seen as a hierarchical formal system of interrelated concepts [93] or attributes ( [94] and [96]). This view let us create an explicitly defined conceptual construction for Qualities: a concept-quantized definition for qualities.…”

Section: Case Study: Software Quality Evaluationmentioning

confidence: 99%

DD-KARB: Data-Driven Compliance to Quality by Rule Based Benchmarking

Besharati

Izadi

2022

Preprint

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Rather than proof and logical evaluation, benchmarking can be used for compliance assessment. Naturally, a set of benchmarks can shape an applied solution to compliance assessment. This paper proposes the KARB solution system, i.e. preventing compliance anomalies through rule-based benchmarking. In fact, rule-based benchmarking means evaluating an under-compliance system with its symbolic specification and using a set of symbolic rules (on the behalf of the semantic logic of evaluation). A case study was conducted to demonstrate and analyze the KARB solution. The IR-QUMA study (Iranian Survey on Quality in Messenger Apps) was then conducted to evaluate the quality of some messenger applications. According to the evaluation results, the hybrid DD-KARB method (with a combination of semantics-awareness and data-drivenness) is more effective than solo methods and can compute a somehow good estimation for the messenger application user quality scores. Therefore, DD-KARB can be considered a method for quality benchmarking in this technical context.

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Section: Case Study: Software Quality Evaluationmentioning

confidence: 99%

DD-KARB: Data-Driven Compliance to Quality by Rule Based Benchmarking

Besharati

Izadi

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Quality definitions can be seen as a hierarchical formal system of interrelated concepts [118] or attributes [119,120]. This view helps create an explicitly defined conceptual construct for qualities, i.e.…”

Section: Case Study: Software Quality Evaluationmentioning

confidence: 99%

DD-KARB: data-driven compliance to quality by rule based benchmarking

Besharati

Izadi

2022

J Big Data

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The problem of compliance checking and assessment is to ensure that the design or implementation of a system meets some desired properties and complies with some rules or regularities. This problem is a key issue in several human and engineering application domains such as organizational management and e-governance, software and IT industries, and software and systems quality engineering. To deal with this problem, some different approaches and methods have been proposed. In addition to the approaches such as formal methods, mathematical proofs, and logical evaluations, benchmarking can be used for compliance assessment. Naturally, a set of benchmarks can shape an applied solution to compliance assessment. In this paper we propose KARB solution system, i.e. keeping away compliance Anomalies through Rule-based Benchmarking. In fact, in our proposed method the rule-based benchmarking means evaluating the conformity of an under-compliance system to a set of rules. In this solution approach, the under-compliance system is specified symbolically (using formal and logical descriptions). Also, the desired rules are specified formally as the semantic logic in the evaluation process. After reviewing the proposed method, a case study was conducted to demonstrate and analyze the KARB solution. The IR-QUMA study (Iranian Survey on Quality in Messenger Apps) was then conducted to evaluate the quality of some messenger applications. According to the evaluation results, the hybrid DD-KARB method (with a combination of semantics-awareness and data-drivenness) is more effective than solo methods and can compute a good estimation for the messenger application user quality scores. Therefore, DD-KARB can be considered as a method for quality benchmarking in this technical context.

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“…There are many projection and divergence measures applied to MCDM and multicriteria group decision‐making (MCGDM) problems. Some approaches to the projection measures are proposed in many real decision situations 32–43 44–50 …”

Section: Introductionmentioning

confidence: 99%

A single‐valued neutrosophic multicriteria group decision approach with DPL‐TOPSIS method based on optimization

2021

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Due to the uncertainty of human subjective judgments, it is sometimes very difficult to obtain accurate evaluation information. The technique for order preference by similarity to ideal solution (TOPSIS) is one of the functional methods used to solve the multicriteria decision‐making (MCDM) problems. However, the traditional TOPSIS is based only on a distance measure and takes into account neither a similarity measure nor a likelihood measure. Therefore, in this article, we define two new information measures which are called as the projection and divergence and more functional than some other existing ones in the neutrosophic sets. Then we develop an innovative TOPSIS (DPL‐TOPSIS) based on the hybrid closeness coefficient which is an optimization of the divergence (distance), projection (similarity), and likelihood (magnitude) closeness coefficients that can also use separately to make the decision in neutrosophic environment. To develop the DPL‐TOPSIS, we define three kinds of analogical factors: the distance‐like positive and negative divergence decision‐making factors, the similarity‐like positive and negative projection decision‐making factors, and the magnitude‐like positive and negative likelihood decision‐making factors. In addition, we provide an objective weight determination model to determine expert judgment with the proposed divergence measure. Finally, to demonstrate the functionality of the developed DPL‐TOPSIS, an application has been made on selection of the masks used as one of the protection methods in the COVID‐19 epidemic, which has recently affected our world, and the results are compared with other existing methods.

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An intuitionistic fuzzy projection-based approach and application to software quality evaluation

Cited by 17 publications

References 52 publications

DD-KARB: Data-Driven Compliance to Quality by Rule Based Benchmarking

DD-KARB: Data-Driven Compliance to Quality by Rule Based Benchmarking

DD-KARB: data-driven compliance to quality by rule based benchmarking

A single‐valued neutrosophic multicriteria group decision approach with DPL‐TOPSIS method based on optimization

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