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Mining Annotation Usage Rules: A Case Study with MicroProfile., , , , , and . ICSME, page 553-562. IEEE, (2022)A Human-in-the-loop Approach to Generate Annotation Usage Rules., , , , , and . CASCON, page 91-100. ACM, (2022)Machine Learning-based Test Case Prioritization using Hyperparameter Optimization., , , , , , and . AST@ICSE, page 125-135. ACM, (2024)Lock Contention Performance Classification for Java Intrinsic Locks., , , , , and . RV, volume 13498 of Lecture Notes in Computer Science, page 274-282. Springer, (2022)Building microservices in a cloud-native world using eclipse microprofile and open liberty., , , and . CASCON, page 350-353. ACM, (2018)A Lock Contention Classifier Based on Java Lock Contention Anti-Patterns., , , , , and . ICMLA, page 1106-1113. IEEE, (2023)Identification of Java lock contention anti-patterns based on run-time performance data., , , , and . AST@ICSE, page 209-213. ACM, (2024)An End-to-End Test Case Prioritization Framework using Optimized Machine Learning Models., , , , , , and . ICSTW, page 1-8. IEEE, (2024)Java lock contention anti-patterns and their associated recommendations., , , , and . ICSTW, page 144-151. IEEE, (2024)Hands-on workshop on fast, efficient & seriously open cloud-native Java., , , , , and . CASCON, page 373-375. ACM, (2019)