Analysing the Adaptability of Software Defect Prediction in Small Software Firms
Swathi K1, Arun Biradar2
1Swathi K, Department of Computer Science and Engineering, K.S. Institute of Technology, Bengaluru (Karnataka), India.
2Dr. Arun Biradar, Department of Computer Science and Engineering, East West Institute of Technology, Bengaluru (Karnataka), India.
Manuscript received on 21 May 2019 | Revised Manuscript received on 11 June 2019 | Manuscript Published on 27 June 2019 | PP: 46-52 | Volume-8 Issue-1C May 2019 | Retrieval Number: A10100581C19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Software Defect Prediction [SDP] assumes an imperative job in the dynamic research territories of software engineering. A software defect is an error, bug, glitch or error in software that makes it make a wrong or startling result. The significant hazard factors related with a software defect which isn’t recognized amid the early period of software development are time, quality, cost, exertion and wastage of assets. Defects may happen in any period of software development. Blasting software organizations center fixation on the software quality, especially amid the early period of the software development. Thus the key goal of any association is to decide and address the defects in an early period of development process of the software. The research carried out in this paper shows how we have attempted to perceive the troubles in Software Defect Prediction with the help of a survey outline, a sorted out survey toward this way was set up with 71 questions and 370 respondents down the results using IBM SPSS Tool.
Keywords: Software Defect Prediction; Software Engineering; Component; SPSS Tool.
Scope of the Article: Software Engineering & Its Applications