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Automated GUI testing of Android apps: from research to practice.

, , and . ICSE (Companion Volume), page 505-506. IEEE Computer Society, (2017)

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License usage and changes: a large-scale study on gitHub., , , , , and . Empir. Softw. Eng., 22 (3): 1537-1577 (2017)What are the Machine Learning best practices reported by practitioners on Stack Exchange?, , , , and . CoRR, (2023)ITDroid: A Tool for Automated Detection of i18n Issues on Android Apps., , and . MOBILESoft@ICSE, page 52-55. IEEE, (2021)Enabling mutation testing for Android apps., , , , , , , and . ESEC/SIGSOFT FSE, page 233-244. ACM, (2017)Automated Tagging of Software Projects Using Bytecode and Dependencies (N)., , and . ASE, page 289-294. IEEE Computer Society, (2015)Enabling Testing of Android Apps.. ICSE (2), page 763-765. IEEE Computer Society, (2015)ISBN 978-1-4799-1934-5 (Vol. I + II ???).ImpactMiner: a tool for change impact analysis., , , , , , and . ICSE Companion, page 540-543. ACM, (2014)MutAPK 2.0: a tool for reducing mutation testing effort of Android apps., , and . ESEC/SIGSOFT FSE, page 1611-1615. ACM, (2020)Domain matters: bringing further evidence of the relationships among anti-patterns, application domains, and quality-related metrics in Java mobile apps., , , , , and . ICPC, page 232-243. ACM, (2014)How developers detect and fix performance bottlenecks in Android apps., , , and . ICSME, page 352-361. IEEE Computer Society, (2015)