Automatically Learning Semantic Features for Defect Prediction
Software defect prediction, which predicts defective code regions, can help developers find bugs and prioritize their testing efforts. To build accurate prediction models, previous studies focus on manually designing features that encode the characteristics of programs and exploring different machin...
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Published in | Proceedings / International Conference on Software Engineering pp. 297 - 308 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
ACM
14.05.2016
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Subjects | |
Online Access | Get full text |
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