Android app downloads have crossed 50 billion ,
Diagnosing mobile applications in the wild, Proceedings of the Ninth ACM SIGCOMM Workshop on Hot Topics in Networks, Hotnets '10, pp.1-22, 2010. ,
DOI : 10.1145/1868447.1868469
A General Survey of Privacy-Preserving Data Mining Models and Algorithms, 2008. ,
DOI : 10.1007/978-0-387-70992-5_2
ReCrash: Making Software Failures Reproducible by Preserving Object States, Lecture Notes in Computer Science, vol.5142, pp.542-565, 2008. ,
DOI : 10.1007/978-3-540-70592-5_23
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.7523
Targeted and Depth-first Exploration for Systematic Testing of Android Apps, Proceedings of the 2013 ACM SIGPLAN International Conference on Object Oriented Programming Systems Languages & Applications, OOPSLA, pp.641-660, 2013. ,
STAR: Stack Trace Based Automatic Crash Reproduction via Symbolic Execution, IEEE Transactions on Software Engineering, vol.41, issue.2, pp.1-1, 2014. ,
DOI : 10.1109/TSE.2014.2363469
When App Stores Listen to the Crowd to Fight Bugs in the Wild, 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, 2015. ,
DOI : 10.1109/ICSE.2015.195
URL : https://hal.archives-ouvertes.fr/hal-01105173
Mining test repositories for automatic detection of UI performance regressions in Android apps, Proceedings of the 13th International Workshop on Mining Software Repositories, MSR '16, 2016. ,
DOI : 10.1109/MOBS.2013.6614215
URL : https://hal.archives-ouvertes.fr/hal-01280784
Reproducing context-sensitive crashes of mobile apps using crowdsourced monitoring, Proceedings of the International Workshop on Mobile Software Engineering and Systems, MOBILESoft '16, 2016. ,
DOI : 10.1109/ICPC.2015.14
A Recommender System of Buggy App Checkers for App Store Moderators, 2015 2nd ACM International Conference on Mobile Software Engineering and Systems ,
DOI : 10.1109/MobileSoft.2015.8
URL : https://hal.archives-ouvertes.fr/hal-01117376
Dynamic Deployment of Sensing Experiments in the Wild Using Smartphones, DAIS, pp.43-56, 2013. ,
DOI : 10.1007/978-3-642-38541-4_4
URL : https://hal.archives-ouvertes.fr/hal-00804114
Automating gui testing for android applications, Proceeding of the 6th international workshop on Automation of software test, AST '11, pp.77-83, 2011. ,
DOI : 10.1145/1982595.1982612
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.227.4901
Efficiently, effectively detecting mobile app bugs with AppDoctor, Proceedings of the Ninth European Conference on Computer Systems, EuroSys '14, p.18, 2014. ,
DOI : 10.1145/2592798.2592813
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.589.1860
BugRedux: Reproducing field failures for inhouse debugging, Proceedings of the 34th International Conference on Software Engineering, ICSE '12, pp.474-484, 2012. ,
DOI : 10.1109/icse.2012.6227168
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.224.5221
Charting the API minefield using software telemetry data, Empirical Software Engineering, vol.9, issue.3, pp.1-46, 2014. ,
DOI : 10.1145/1698772.1698785
What do mobile app users complain about? Software, IEEE, vol.32, issue.3, pp.70-77, 2015. ,
DOI : 10.1109/ms.2014.50
Crash graphs: An aggregated view of multiple crashes to improve crash triage, 2011 IEEE/IFIP 41st International Conference on Dependable Systems & Networks (DSN), pp.486-493, 2011. ,
DOI : 10.1109/DSN.2011.5958261
GenProg: A generic method for automatic software repair. Software Engineering, IEEE Transactions on, vol.38, issue.1, pp.54-72, 2012. ,
Caiipa, Proceedings of the 20th annual international conference on Mobile computing and networking, MobiCom '14, 2014. ,
DOI : 10.1145/2639108.2639131
Dynodroid: an input generation system for Android apps, Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering, ESEC/FSE 2013, pp.224-234, 2013. ,
DOI : 10.1145/2491411.2491450
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.6560
Analyzing and automatically labelling the types of user issues that are raised in mobile app reviews, Empirical Software Engineering, vol.3, issue.3, pp.1-40, 2015. ,
DOI : 10.4018/jdwm.2007070101
http://www.neo4j.org. [Online, 2016. ,
AppInsight: Mobile App Performance Monitoring in the Wild Isolating failure causes through test case generation, Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation, OSDI Proceedings of the 2012 International Symposium on Software Testing and Analysis, pp.107-120, 2012. ,
Developer Economics Q3 2014: State of the Developer Nation, 2014. ,
Incentive Mechanisms for Crowdsensing: Crowdsourcing With Smartphones, IEEE/ACM Transactions on Networking, vol.24, issue.3, pp.1-13, 2015. ,
DOI : 10.1109/TNET.2015.2421897
Why Programs Fail: A Guide to Systematic Debugging, 2005. ,
Simplifying and isolating failure-inducing input, IEEE Transactions on Software Engineering, vol.28, issue.2, pp.183-200, 2002. ,
DOI : 10.1109/32.988498
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.111.5094