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In-IDE Generation-based Information Support with a Large Language Model., , , , and . CoRR, (2023)Trust in Generative AI among students: An Exploratory Study., , , , , , and . CoRR, (2023)EVA: a tool for visualizing software architectural evolution., , and . ICSE (Companion Volume), page 53-56. ACM, (2018)The Long Tail: Understanding the Discoverability of API Functionality., , , , , , , , , and . VL/HCC, page 157-161. IEEE Computer Society, (2019)Towards Characterizing Trust in Generative Artificial Intelligence among Students., , , , , , , and . ICER (2), page 3-4. ACM, (2023)Trust in Generative AI among Students: An exploratory study., , , , , , , and . SIGCSE (1), page 67-73. ACM, (2024)Improving API Knowledge Discovery with ML: A Case Study of Comparable API Methods., , , and . ICSE, page 1890-1906. IEEE, (2023)MARBLE: Mining for Boilerplate Code to Identify API Usability Problems., , , , and . ASE, page 615-627. IEEE, (2019)How Do Organizations Publish Semantic Markup? Three Case Studies Using Public Schema.org Crawls., and . Computer, 51 (6): 42-51 (2018)Toward predicting architectural significance of implementation issues., , and . MSR, page 215-219. ACM, (2018)