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Using frugal user feedback with closeness analysis on code to improve IR-based traceability recovery.

, , , , , , and . ICPC, page 369-379. IEEE / ACM, (2019)

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Macro Action Selection with Deep Reinforcement Learning in StarCraft., , , , , and . AIIDE, page 94-99. AAAI Press, (2019)Leveraging User-Defined Identifiers for Counterfactual Data Generation in Source Code Vulnerability Detection., , , , and . SCAM, page 143-150. IEEE, (2023)TRIAD: Automated Traceability Recovery based on Biterm-enhanced Deduction of Transitive Links among Artifacts., , , , , , , and . ICSE, page 216:1-216:13. ACM, (2024)TRIAD: Automated Traceability Recovery based on Biterm-enhanced Deduction of Transitive Links among Artifacts., , , , , , , and . CoRR, (2023)Response Time Aware Operator Placement for Complex Event Processing in Edge Computing., , , , and . ICSOC, volume 11236 of Lecture Notes in Computer Science, page 264-278. Springer, (2018)Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery., , , , , , , , and . ASE, page 114:1. ACM, (2022)Incorporating Pre-trained Transformer Models into TextCNN for Sentiment Analysis on Software Engineering Texts., , , , , , , , and . Internetware, page 127-136. ACM, (2022)Automated Data-Processing Function Identification Using Deep Neural Network., , , , and . IEEE Access, (2020)Semi-supervised pre-processing for learning-based traceability framework on real-world software projects., , , , and . ESEC/SIGSOFT FSE, page 570-582. ACM, (2022)RL-Based CEP Operator Placement Method on Edge Networks Using Response Time Feedback., , , , , and . WISA, volume 14094 of Lecture Notes in Computer Science, page 559-571. Springer, (2023)