Ethics testing is introduced as a systematic approach to generate tests that identify software harms induced by unethical behavior in generative AI outputs.
Proceedings of the 40th International Conference on Software Engineering , series =
3 Pith papers cite this work. Polarity classification is still indexing.
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A framework repairs CPS requirements in Simulink by leveraging system execution data and is evaluated as effective on six real-world case studies covering 12 requirements.
MUIAnno is an expert-annotated dataset of mobile UI screens from iOS apps with structured JSON labels and baseline results for UI element detection.
citing papers explorer
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Ethics Testing: Proactive Identification of Generative AI System Harms
Ethics testing is introduced as a systematic approach to generate tests that identify software harms induced by unethical behavior in generative AI outputs.
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Automated Repair of Requirements for Cyber-Physical Systems in Simulink Requirements Tables
A framework repairs CPS requirements in Simulink by leveraging system execution data and is evaluated as effective on six real-world case studies covering 12 requirements.
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MUIAnno: An Expert-Annotated Dataset and Evaluation Benchmark for Mobile UI Understanding
MUIAnno is an expert-annotated dataset of mobile UI screens from iOS apps with structured JSON labels and baseline results for UI element detection.