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Detecting problems in the database access code of large scale systems: an industrial experience report.

, , , , and . ICSE (Companion Volume), page 71-80. ACM, (2016)

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A survey on the use of topic models when mining software repositories., , and . Empirical Software Engineering, 21 (5): 1843-1919 (2016)An Empirical Study of Obsolete Answers on Stack Overflow., , , , and . CoRR, (2019)Where Shall We Log? Studying and Suggesting Logging Locations in Code Blocks., , and . ASE, page 361-372. IEEE, (2020)Improving the quality of large-scale database-centric software systems by analyzing database access code.. ICDE Workshops, page 245-249. IEEE Computer Society, (2015)Detecting problems in the database access code of large scale systems: an industrial experience report., , , , and . ICSE (Companion Volume), page 71-80. ACM, (2016)LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing., , , , and . ICSE, page 99:1-99:13. ACM, (2024)Topic-based software defect explanation., , , , and . J. Syst. Softw., (2017)A First Look at Information Highlighting in Stack Overflow Answers., , , , and . CoRR, (2024)Reading Answers on Stack Overflow: Not Enough!, , , and . IEEE Trans. Software Eng., 47 (11): 2520-2533 (2021)Studying Duplicate Logging Statements and Their Relationships With Code Clones., , , and . IEEE Trans. Software Eng., 48 (7): 2476-2494 (2022)