A Survey on Evaluation of the Quality of Software System by Using Fuzzy Logic Approach

Ritika Vern
Ritika Vern
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Sanjay Kumar Dubey
Sanjay Kumar Dubey
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Amity University

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A Survey on Evaluation of the Quality of Software System by Using Fuzzy Logic Approach

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Abstract

The demand for quality software system is increasing day by day because quality defines the capability of the software systems. Software systems are root of any developing systems. They are always checked on the basis of their quality. The quality characteristics are considered as very important aspects by development of software system. The evaluation of quality also plays important role in this context. Fuzzy logic is the new emerging technology for evaluating the efficiency of various systems. This paper presents various quality models and evaluation of quality models by using fuzzy logic technique. The present study may serve the purpose of reference for investigating evaluation of software quality models with their analytical description.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ritika Vern. 1970. \u201cA Survey on Evaluation of the Quality of Software System by Using Fuzzy Logic Approach\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C1).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Fuzzy logicmodelQualitysoftware system
  • Submission ReceivedDecember 13, 2012
  • Peer Review Double Blind
    Handling Editor
  • Accepted January 5, 2013
  • Published January 15, 2013
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A Survey on Evaluation of the Quality of Software System by Using Fuzzy Logic Approach

Ritika Vern
Ritika Vern <p>Amity University</p>
Sanjay Kumar Dubey
Sanjay Kumar Dubey
  • Submission ReceivedDecember 13, 2012
  • Peer Review Double Blind
    Handling Editor
  • Accepted January 5, 2013
  • Published January 15, 2013

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