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An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation., , , and . IEEE Trans. Software Eng., 50 (1): 85-105 (January 2024)PyMigBench and PyMigTax: A Benchmark and Taxonomy for Python Library Migration., , and . CoRR, (2022)Variability Models in Large-Scale Systems: A Study and a Reverse-Engineering Technique., and . Software Engineering & Management, volume P-239 of LNI, page 80-81. GI, (2015)A Large-scale Data Set and an Empirical Study of Docker Images Hosted on Docker Hub., , and . ICSME, page 371-381. IEEE, (2020)The Love/Hate Relationship with the C Preprocessor: An Interview Study, , , , and . Proceedings of the 29th. European Conference on Object-Oriented Programming, page 495--518. (July 2015)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)Scalable software merging studies with MergAnser., and . MSR, page 560-564. IEEE / ACM, (2019)Can We Use Stack Overflow as a Source of Explainable Bug-fix Data?, and . CoRR, (2020)A Data Set of Generalizable Python Code Change Patterns., and . CoRR, (2023)