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Software Engineering for Data Intensive Scalable Computing and Heterogeneous Computing.. ICSE-FoSE, page 54-68. IEEE, (2023)SE4ML - Software Engineering for AI-ML-based Systems (Dagstuhl Seminar 20091)., , , and . Dagstuhl Reports, 10 (2): 76-87 (2020)White-box testing of big data analytics with complex user-defined functions., , , and . ESEC/SIGSOFT FSE, page 290-301. ACM, (2019)BigSift: automated debugging of big data analytics in data-intensive scalable computing., , and . ESEC/SIGSOFT FSE, page 863-866. ACM, (2018)Augmenting stack overflow with API usage patterns mined from GitHub., , , and . ESEC/SIGSOFT FSE, page 880-883. ACM, (2018)An Empirical Study of Common Challenges in Developing Deep Learning Applications., , , , and . ISSRE, page 104-115. IEEE, (2019)QDiff: Differential Testing of Quantum Software Stacks., , , and . ASE, page 692-704. IEEE, (2021)Are code examples on an online Q&A forum reliable?: a study of API misuse on stack overflow., , , , and . ICSE, page 886-896. ACM, (2018)An empirical investigation into the impact of refactoring on regression testing., and . ICSM, page 357-366. IEEE Computer Society, (2012)An Empirical Study of API Stability and Adoption in the Android Ecosystem., , and . ICSM, page 70-79. IEEE Computer Society, (2013)