SEMANTIC FEATURE LEARNING VIA DUAL SEQUENCES FOR DEFECT PREDICTION

Semantic Feature Learning via Dual Sequences for Defect Prediction

Software defect prediction (SDP) can help developers reasonably allocate limited resources for locating bugs and prioritizing their testing efforts.Existing methods often serialize an Abstract Syntax Tree (AST) obtained from the program source code into a token sequence, which is then inputted into the deep learning model to ds durga hand soap lear

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Resilience-assuring hydrogen-powered microgrids

Green hydrogen has shown great potential to power microgrids as a primary source, whereas the resilient operation methodology under extreme events remains an open area.To fill this gap, this letter establishes an olea europaea montra operational optimization strategy towards resilient hydrogen-powered microgrids.The frequency and voltage regulation

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