DocumentCode :
688457
Title :
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
Link To Document :
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