lin-tan/DocTer
For our ISSTA22 paper "DocTer: Documentation-Guided Fuzzing for Testing Deep Learning API Functions" by Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Mike Godfrey
DocTer helps deep learning framework developers identify subtle bugs in their API functions. By analyzing API documentation and automatically generating test cases, it pinpoints inconsistencies or errors in how deep learning functions operate. This tool is designed for software engineers and researchers who develop and maintain deep learning libraries.
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Use this if you are a deep learning framework developer needing to systematically test your API functions against their documented behavior to catch bugs.
Not ideal if you are a data scientist or machine learning practitioner using deep learning APIs, rather than developing them.
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Jul 19, 2022
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