Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning.
Lei LiuSinan WangYepang LiuJinliang DengSicen LiuPublished in: Internetware (2023)
Keyphrases
- fine grained
- machine learning
- coarse grained
- prediction accuracy
- access control
- source code
- machine learning methods
- learning algorithm
- tightly coupled
- machine learning algorithms
- feature selection
- massively parallel
- data provenance
- metadata
- natural language processing
- text classification
- database
- test cases
- concept drift
- data lineage