Empirical

[C23] Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction

[C22] Challenges in Adopting Artificial Intelligence Based User Input Verification Framework in Reporting Software Systems

[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