Analysis of software reliability by fuzzy regression model

Junzo Watada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

The objective of this paper is to outline a method of analysis that can be used to enhance the quality of software and reduce the cost of its development. The method is based on, and was applied to the analysis of, factors that influence software quality in the programming environment. Empirical data on software development are analyzed to show how such attributes of program development as human relations and the organization influence the quality of software. A fuzzy regression model was built to estimate the number of bugs in a software project.

Original languageEnglish
Title of host publicationIEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume3
Publication statusPublished - 2000
Externally publishedYes
Event2000 TENCON Proceedings - Kuala Lumpur, Malaysia
Duration: 2000 Sep 242000 Sep 27

Other

Other2000 TENCON Proceedings
CityKuala Lumpur, Malaysia
Period00/9/2400/9/27

Fingerprint

Software reliability
Computer programming
Software engineering
Costs

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Watada, J. (2000). Analysis of software reliability by fuzzy regression model. In IEEE Region 10 Annual International Conference, Proceedings/TENCON (Vol. 3)

Analysis of software reliability by fuzzy regression model. / Watada, Junzo.

IEEE Region 10 Annual International Conference, Proceedings/TENCON. Vol. 3 2000.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Watada, J 2000, Analysis of software reliability by fuzzy regression model. in IEEE Region 10 Annual International Conference, Proceedings/TENCON. vol. 3, 2000 TENCON Proceedings, Kuala Lumpur, Malaysia, 00/9/24.
Watada J. Analysis of software reliability by fuzzy regression model. In IEEE Region 10 Annual International Conference, Proceedings/TENCON. Vol. 3. 2000
Watada, Junzo. / Analysis of software reliability by fuzzy regression model. IEEE Region 10 Annual International Conference, Proceedings/TENCON. Vol. 3 2000.
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