Predicting defective lines using a model-agnostic technique

HIGHLIGHTS

• who: Supatsara Wattanakriengkrai and collaborators from the (UNIVERSITY) have published the Article: Predicting Defective Lines Using a Model-Agnostic Technique, in the Journal: (JOURNAL) of 16/05/2022
• what: The authors propose a novel framework (called LINE-DP) to identify defective lines using a model-agnostic technique i.e. an Explainable AI technique that provides information why the model makes such a prediction. The authors evaluate the LINE -DP in terms of_(1) predictive accuracy, ranking performance, computation time, and_(4) the types of uncovered defects. The authors provide background of software quality assurance and . . .
  

   

  

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