Defects prediction of early phases of Software Development Life Cycle using fuzzy logic

Author

Yadav, Harikesh Bahadur ; Yadav, Dileep Kumar

Author_Institution

Dept. of Comput. Applic., Nat. Inst. of Technol., Jamshedpur, India

fYear

2013

fDate

26-27 Sept. 2013

Firstpage

2

Lastpage

6

Abstract

In this paper, a model is proposed to predict the software Defects indicator of early phases of Software Development Life Cycle (SDLC) using the top most reliability relevant metrics at each artifacts. Failure data is not available in the early phases of SDLC. Therefore qualitative values of software metrics are used in this model. Defect indicator predicated in the requirement analysis, Design and Coding phases are very helpful for testing and maintenance of the software. Requirement analysis phase Defect Indicator value is relatively greater than that of the design and coding artifacts. Model is validated with the existing literature. Validation result are satisfactory.

Keywords

formal specification; fuzzy logic; program testing; program verification; software maintenance; software metrics; software reliability; SDLC; coding artifacts; coding phase; design artifacts; design phase; early phase defect prediction; failure data; requirement analysis; softwar defects indicator; software development life cycle; software maintenance; software metrics; software testing; Defect Indicator; Fuzzy logic; Software Defect; Software Metrics; Software Reliability;

fLanguage

English

Publisher

iet

Conference_Titel

Confluence 2013: The Next Generation Information Technology Summit (4th International Conference)

Conference_Location

Noida

Electronic_ISBN

978-1-84919-846-2

Type

conf

DOI

10.1049/cp.2013.2284

Filename

6832299