We then performĪn objective comparison between the techniques and find that CodeBERT and Resembled by CodeBERT, PiTest, IBIR, and DeepMutation faults. We also show thatĦ0%, 47%, 43%, and 7% of the real faults of Defects4J V2 are semantically Syntactic similarity does not reflect semantic similarity. Patterns, DeepMutation - a learning-based fault seeded framework and CodeBERT -Ī novel mutation testing tool that use code embeddings) and demonstrate that Popular mutation testing tool, IBIR - a tool with manually crafted fault Your Warframe will be consumed in the process. We answer this question by employing 4 fault-seeding techniques (PiTest - a Subsume your Warframe into the Helminth System, learning one of its abilities. Syntactically dissimilar faults are far away (semantically) from the real ones.
This raises the question of whether seeding syntactically similarįaults indeed results in semantically similar faults and more generally whether Subsume is a verb that comes from the Latin words sub, which means from below, and sumere. (syntactically) real ones, implying that fault realism is related to syntactic SEbS the compass point that is one point south of southeast. Learning and Natural Language Processing (NLP), to seed faults that look like Recent line of research uses advanced machine learning techniques, such as deep Central to these techniques lies the hypothesis thatĪrtificially seeded faults involve some form of realistic properties and thus
Subsume se pdf#
Authors: Milos Ojdanic, Aayush Garg, Ahmed Khanfir, Renzo Degiovanni, Mike Papadakis, Yves Le Traon Download PDF Abstract: Fault seeding is typically used in controlled studies to evaluate and compare
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