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Found 3 papers, 1 papers with code
Duplicate Bug Report Detection With a Combination of Information Retrieval and Topic Modeling
Detecting duplicate bug reports helps reduce triaging efforts and save time for developers in fixing the same issues.
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications
To this end, we propose DFLARE, a novel, search-based, black-box testing technique to automatically find triggering inputs that result in deviated behaviors in image classification tasks.
EDAssistant: Supporting Exploratory Data Analysis in Computational Notebooks with In-Situ Code Search and Recommendation
This paper presents EDAssistant, a JupyterLab extension that supports EDA with in-situ search of example notebooks and recommendation of useful APIs, powered by novel interactive visualization of search results.
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