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- W2328855185 abstract "The present paper proposes a Machine learning technique for defect forecasting and handling for SQA called appendage log training and analysis, can be referred as ALTA. The proposed defect forecasting of in-appendage software development logs works is to deal the forecasted defects accurately and spontaneously while developing the software. The present proposed mechanism helps in minimizing the difficulty of SQA. The overall study is conducted on evaluating the proposed model which indicates the defect forecasting in-appendage software development log training and analysis is significant growth to lessen the complexity of Software Quality Assessment." @default.
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- W2328855185 date "2012-01-01" @default.
- W2328855185 modified "2023-09-27" @default.
- W2328855185 title "Measuring defect potentials and minimizing the difficulty of SQA by automated techniques" @default.
- W2328855185 doi "https://doi.org/10.1049/cp.2012.2487" @default.
- W2328855185 hasPublicationYear "2012" @default.
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