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Empirical
[J27] T-Evos: A Large Scale Longitudinal Study on CI Test Execution and Failure
[J25] Towards Learning Generalizable Code Embeddings using Task-agnostic Graph Convolutional Networks
[J24] Can Pre-trained Code Embeddings Improve Model Performance? Revisiting the Use of Code Embeddings in Software Engineering Tasks
[J23] LogAssist: Assisting Log Analysis Through Log Summarization
[J22] MLASP: Machine Learning Assisted Capacity Planning - An industrial experience report
[J21] Pathidea: Improving Information Retrieval-Based Bug Localization by Re-Constructing Execution Paths Using Logs
[J20] The Secret Life of Test Smells - An Empirical Study on Test Smell Evolution and Maintenance
[J19] Studying Backers and Hunters in Bounty Issue Addressing Process of Open Source Projects
[J18] A Study of C/C++ Code Weaknesses on Stack Overflow
[J17] Studying Duplicate Logging Statements and Their Relationships with Code Clones
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