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20212026
most citedThe Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large

69 citations · 86 across the 11 of their papers we have counts for

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cs.SE2024

Leveraging Data Characteristics for Bug Localization in Deep Learning Programs

Ruchira Manke, Mohammad Wardat, Foutse Khomh +1

Deep Learning (DL) is a class of machine learning algorithms that are used in a wide variety of applications. Like any software system, DL programs can have bugs. To support bug lo…

cs.SE2024★ 1 cited

muPRL: A Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults

Deepak-George Thomas, Matteo Biagiola, Nargiz Humbatova +4

Reinforcement Learning (RL) is increasingly adopted to train agents that can deal with complex sequential tasks, such as driving an autonomous vehicle or controlling a humanoid rob…