4 papers
Assembling Insights for Agentic Machine Learning Engineering Systems
Bihui Jin, Yinxi Li, Kaiyuan Wang +1
Agentic machine learning engineering (MLE) is an emerging AI4SE application for complex ML tasks and a step toward recursive self-improvement of AI systems. Recent agentic MLE syst…
TestEvo-Bench: An Executable and Live Benchmark for Test and Code Co-Evolution
Jiale Amber Wang, Kaiyuan Wang, Pengyu Nie
Software tests and code evolve together: a code change should be followed by new or updated tests that record the new software behavior. Yet existing test generation and update ben…
Automated Modernization of Machine Learning Engineering Notebooks for Reproducibility
Bihui Jin, Kaiyuan Wang, Pengyu Nie
Interactive computational notebooks (e.g., Jupyter notebooks) are widely used in machine learning engineering (MLE) to program and share end-to-end pipelines, from data preparation…
Efficient Incremental Code Coverage Analysis for Regression Test Suites
Jiale Amber Wang, Kaiyuan Wang, Pengyu Nie
Code coverage analysis has been widely adopted in the continuous integration of open-source and industry software repositories to monitor the adequacy of regression test suites. Ho…