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Tool Support for Analyzing Mobile App Reviews., , , и . ASE, стр. 789-794. IEEE Computer Society, (2015)Learning API usages from bytecode: a statistical approach., , , и . ICSE, стр. 416-427. ACM, (2016)Document classification using semi-supervived mixture model of von Mises-Fisher distributions on document manifold., , , и . SoICT, стр. 94-100. ACM, (2013)A Vision on Mining Visual Logs of Software., , , и . ACM Southeast Regional Conference, стр. 284-287. ACM, (2020)Phrase-based extraction of user opinions in mobile app reviews., , , и . ASE, стр. 726-731. ACM, (2016)Deep learning UI design patterns of mobile apps., , , и . ICSE (NIER), стр. 65-68. ACM, (2018)ALPACA-advanced linguistic pattern and concept analysis framework for software engineering corpora., , , и . ICSE (Companion Volume), стр. 284-285. ACM, (2018)Mining User Opinions in Mobile App Reviews: A Keyword-Based Approach (T)., , , и . ASE, стр. 749-759. IEEE Computer Society, (2015)Code Search on Bytecode for Mobile App Development., , и . ACM Southeast Regional Conference, стр. 253-256. ACM, (2019)An Empirical Study of Exception Handling Bugs and Fixes., , и . ACM Southeast Regional Conference, стр. 257-260. ACM, (2019)