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The Impact of API Change- and Fault-Proneness on the User Ratings of Android Apps.

, , , , , and . IEEE Trans. Software Eng., 41 (4): 384-407 (2015)

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Unsupervised software categorization using bytecode., , and . ICPC, page 229-239. IEEE Computer Society, (2015)A comprehensive model for code readability., , , and . Journal of Software: Evolution and Process, (2018)Improving code readability models with textual features., , , and . ICPC, page 1-10. IEEE Computer Society, (2016)Auto-completing Bug Reports for Android Applications., , , and . CoRR, (2017)Documenting database usages and schema constraints in database-centric applications., , , and . ISSTA, page 270-281. ACM, (2016)MDroid+: a mutation testing framework for android., , , , , , , and . ICSE (Companion Volume), page 33-36. ACM, (2018)To distribute or not to distribute?: why licensing bugs matter., , , , , and . ICSE, page 268-279. ACM, (2018)Data-driven solutions to detect API compatibility issues in Android: an empirical study., , , , and . MSR, page 288-298. IEEE / ACM, (2019)How do Developers Test Android Applications?, , , and . CoRR, (2018)Mining energy-greedy API usage patterns in Android apps: an empirical study., , , , , and . MSR, page 2-11. ACM, (2014)