OverCode: visualizing variation in student solutions to programming problems at scale

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Automatic Grading and Feedback using Program Repair for Introductory Programming Courses (2017, background): “Clustering of similar submissions [11,15,16]: Submissions that are semantically similar are grouped together.”
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance (2020, background): “nce along one dimension: accuracy of decisions. In general, one may wish to achieve complementary performance on a multi-dimensional metric. For example, when grading programming exercises with an AI [20], the team may wish to balance several metrics, such as speed of grading, precision of error dis”
Interactive and interpretable machine learning models for human machine collaboration (2015, methodology): “I use a method called OverCode [59] to extract relevant features for iBCM.”
Neural Attribution for Semantic Bug-Localization in Student Programs (2019, methodology): “The clusters are created either using heuristics based on program analysis techniques [8, 15, 10, 27, 23] or using program execution on a set of inputs [19, 20].”