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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Bibliographic Details

Published in:	Proceedings / International Conference on Software Engineering pp. 297 - 308
Main Authors:	Song Wang, Taiyue Liu, Lin Tan
Format:	Conference Proceeding
Language:	English
Published:	ACM 14.05.2016
Subjects:	Buildings Data models deep learning defect prediction Feature extraction feature generation Predictive models Semantics Syntactics Training
ISSN:	1558-1225
Online Access:	Get full text
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