A Novel Approach towards Understanding Adoption of Prediction Models in SDLC in IT SME's

Autor: Ashalatha HS, Prashanth Kumar C P, Nishanth Selvam P, Lavanya A, Nagaveni R, Dr Jayalakshmi, Dr Geetha N
Jazyk: angličtina
Rok vydání: 2020
Předmět:
DOI: 10.5281/zenodo.4394342
Popis: Recent studies of software failure projection usually generate datasets, methods and frames that allow software engineers to concentrate on defect-prone code creation operation, thereby enhancing software quality and better resource usage. In this paper we have attempted to understand the relation of various variables which is relevant for IT SMEs, The study is carried out using a well-structured query. Several software defect forecast datasets, methods and system are published differently and complex, therefore a full view of the current state of defect prediction research is lacking.
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Databáze: OpenAIRE
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