Abstract
A crowdsourced, open database of labelled code commits for training and benchmarking classification models built to evaluate software code. This is a platform that researchers can use to crowdsource training data for building classification models to evaluate software code.The crowdsourced labels (over 3000 code snippets labelled on their novelty and usefulness) are available publicly and are currently being used by researchers from Tilburg University, HEC Paris, and SKEMA business school to study the antecedents of innovation in OSS projects
Original language | English |
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Type | https:opencodenet.com: A crowdsourced, open database of labelled code commits for training and benchmarking classification models built to evaluate software code |
Media of output | Online |
Publication status | Published - 1 Jul 2022 |