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ALPACA: Advanced Linguistic Pattern and Concept Analysis Framework for Software Engineering Corpora., , and . ACM Southeast Regional Conference, page 249-252. ACM, (2019)Why do App Reviews get Responded: A Preliminary Study of the Relationship between Reviews and Responses in Mobile Apps., , and . ACM Southeast Regional Conference, page 237-240. ACM, (2019)Recommending API Usages for Mobile Apps with Hidden Markov Model., , , and . ASE, page 795-800. IEEE Computer Society, (2015)Code Search on Bytecode for Mobile App Development., , and . ACM Southeast Regional Conference, page 253-256. ACM, (2019)An Empirical Study of Exception Handling Bugs and Fixes., , and . ACM Southeast Regional Conference, page 257-260. ACM, (2019)Mining User Opinions in Mobile App Reviews: A Keyword-Based Approach (T)., , , and . ASE, page 749-759. IEEE Computer Society, (2015)Recommending exception handling patterns with ExAssist., , , and . ICSE (Companion Volume), page 282-283. ACM, (2018)On building an automated responding system for app reviews: What are the characteristics of reviews and their responses?, , and . CoRR, (2019)Deep learning UI design patterns of mobile apps., , , and . ICSE (NIER), page 65-68. ACM, (2018)Phrase-based extraction of user opinions in mobile app reviews., , , and . ASE, page 726-731. ACM, (2016)