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The "BigSE" project: lessons learned from validating industrial text mining.

, , , , и . BIGDSE@ICSE, стр. 65-71. ACM, (2016)

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Deepashri Agrawal

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Data-driven search-based software engineering., , , , , , , , и . MSR, стр. 341-352. ACM, (2018)Is AI different for SE?, и . CoRR, (2019)What is the connection between issues, bugs, and enhancements?: lessons learned from 800+ software projects., , , , и . ICSE (SEIP), стр. 306-315. ACM, (2018)Trends in topics at SE conferences (1993-2013)., , и . ICSE (Companion Volume), стр. 397-398. IEEE Computer Society, (2017)Characterizing the influence of continuous integration: empirical results from 250+ open source and proprietary projects., , , и . SWAN@ESEC/SIGSOFT FSE, стр. 8-14. ACM, (2018)What is Wrong with Topic Modeling? (and How to Fix it Using Search-based SE)., , и . CoRR, (2016)"Better Data" is Better than "Better Data Miners" (Benefits of Tuning SMOTE for Defect Prediction)., и . CoRR, (2017)The "BigSE" project: lessons learned from validating industrial text mining., , , , и . BIGDSE@ICSE, стр. 65-71. ACM, (2016)Why Software Projects need Heroes (Lessons Learned from 1100+ Projects)., , , и . CoRR, (2019)Is "better data" better than "better data miners"?: on the benefits of tuning SMOTE for defect prediction., и . ICSE, стр. 1050-1061. ACM, (2018)