ABSTRACT
Mobile apps have become ubiquitous. For app developers, it is a key priority to ensure their apps' correctness and reliability. However, many apps still suffer from occasional to frequent crashes, weakening their competitive edge. Large-scale, deep analyses of the characteristics of real-world app crashes can provide useful insights to guide developers, or help improve testing and analysis tools. However, such studies do not exist --- this paper fills this gap. Over a four-month long effort, we have collected 16,245 unique exception traces from 2,486 open-source Android apps, and observed that framework-specific exceptions account for the majority of these crashes. We then extensively investigated the 8,243 framework-specific exceptions (which took six person-months): (1) identifying their characteristics (e.g., manifestation locations, common fault categories), (2) evaluating their manifestation via state-of-the-art bug detection techniques, and (3) reviewing their fixes. Besides the insights they provide, these findings motivate and enable follow-up research on mobile apps, such as bug detection, fault localization and patch generation. In addition, to demonstrate the utility of our findings, we have optimized Stoat, a dynamic testing tool, and implemented ExLocator, an exception localization tool, for Android apps. Stoat is able to quickly uncover three previously-unknown, confirmed/fixed crashes in Gmail and Google+; ExLocator is capable of precisely locating the root causes of identified exceptions in real-world apps. Our substantial dataset is made publicly available to share with and benefit the community.
- Christoffer Quist Adamsen, Gianluca Mezzetti, and Anders Møller. 2015. Systematic Execution of Android Test Suites in Adverse Conditions. In Proceedings of the 2015 International Symposium on Software Testing and Analysis (ISSTA 2015). ACM, New York, NY, USA, 83--93. Google ScholarDigital Library
- Domenico Amalfitano, Anna Rita Fasolino, Porfirio Tramontana, Salvatore De Carmine, and Atif M. Memon. 2012. Using GUI ripping for automated testing of Android applications. In IEEE/ACM International Conference on Automated Software Engineering, ASE'12, Essen, Germany, September 3--7, 2012. 258--261. Google ScholarDigital Library
- Domenico Amalfitano, Anna Rita Fasolino, Porfirio Tramontana, Bryan Dzung Ta, and Atif M. Memon. 2015. MobiGUITAR: Automated Model-Based Testing of Mobile Apps. IEEE Software 32, 5 (2015), 53--59.Google ScholarDigital Library
- Domenico Amalfitano, Vincenzo Riccio, Ana C. R. Paiva, and Anna Rita Fasolino. 2018. Why does the orientation change mess up my Android application? From GUI failures to code faults. Softw. Test., Verif. Reliab. 28, 1 (2018).Google Scholar
- Saswat Anand, Mayur Naik, Mary Jean Harrold, and Hongseok Yang. 2012. Automated concolic testing of smartphone apps. In 20th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-20), SIGSOFT/FSE'12, Cary, NC, USA - November 11 - 16, 2012. 59. Google ScholarDigital Library
- AppBrain. 2017. Number of Android applications. (2017). Retrieved 2017-7 from http://www.appbrain.com/stats/number-of-android-appsGoogle Scholar
- Appium. 2017. Appium: Mobile App Automation Made Awesome. (2017). Retrieved 2017-7 from http://appium.io/Google Scholar
- Atarashii. 2017. Atarashii. (2017). Retrieved 2017-7 from https://github.com/AnimeNeko/AtarashiiGoogle Scholar
- Atarashii. 2017. Atarashii revision b311ec3. (2017). Retrieved 2017-7 from https://github.com/AnimeNeko/Atarashii/commit/b311ec327413aa4ef4aaabb8a8496c61d342cfe9Google Scholar
- Tanzirul Azim and Iulian Neamtiu. 2013. Targeted and depth-first exploration for systematic testing of Android apps. In Proceedings of the 2013 ACM SIGPLAN International Conference on Object Oriented Programming Systems Languages & Applications, OOPSLA 2013, part of SPLASH 2013, Indianapolis, IN, USA, October 26--31, 2013. 641--660. Google ScholarDigital Library
- Abhijeet Banerjee, Hai-Feng Guo, and Abhik Roychoudhury. 2016. Debugging Energy-efficiency Related Field Failures in Mobile Apps. In Proceedings of the International Conference on Mobile Software Engineering and Systems (MOBILESoft '16). ACM, New York, NY, USA, 127--138. Google ScholarDigital Library
- Bankdroid. 2017. Bankdroid. (2017). Retrieved 2017-7 from https://github.com/liato/android-bankdroidGoogle Scholar
- Bankdroid. 2017. Bankdroid revision 8b31cd3. (2017). Retrieved 2017-7 from https://github.com/liato/android-bankdroid/commit/8b31cd36fab5f746ed5a2096369f9990de7b064Google Scholar
- Pavol Bielik, Veselin Raychev, and Martin Vechev. 2015. Scalable Race Detection for Android Applications. In Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA 2015). ACM, New York, NY, USA, 332--348. Google ScholarDigital Library
- c:geo. 2017. c:geo. (2017). Retrieved 2017-7 from https://github.com/cgeo/cgeoGoogle Scholar
- c:geo. 2017. c:geo revision d6b4e4d. (2017). Retrieved 2017-7 from https://github.com/cgeo/cgeo/commit/d6b4e4d958568ea04669f511a85f24ac08f524b6Google Scholar
- Wontae Choi, George C. Necula, and Koushik Sen. 2013. Guided GUI testing of Android apps with minimal restart and approximate learning. In Proceedings of the 2013 ACM SIGPLAN International Conference on Object Oriented Programming Systems Languages & Applications, OOPSLA 2013, part of SPLASH 2013, Indianapolis, IN, USA, October 26--31, 2013. 623--640. Google ScholarDigital Library
- Roberta Coelho, Lucas Almeida, Georgios Gousios, and Arie van Deursen. 2015. Unveiling Exception Handling Bug Hazards in Android Based on GitHub and Google Code Issues. In Proceedings of the 12th Working Conference on Mining Software Repositories (MSR '15). IEEE Press, Piscataway, NJ, USA, 134--145. Google ScholarDigital Library
- Lin Deng, Jeff Offutt, Paul Ammann, and Nariman Mirzaei. 2017. Mutation operators for testing Android apps. Information & Software Technology 81 (2017), 154--168. Google ScholarDigital Library
- William Enck, Damien Octeau, Patrick McDaniel, and Swarat Chaudhuri. 2011. A Study of Android Application Security. In Proceedings of the 20th USENIX Conference on Security (SEC'11). USENIX Association, Berkeley, CA, USA, 21--21. Google ScholarDigital Library
- Lingling Fan et al. 2017. Dataset of Android App Crashes. (2017). Retrieved 2017-7 from https://crashanalysis.github.io/Google Scholar
- Lingling Fan, Sen Chen, Lihua Xu, Zongyuan Yang, and Huibiao Zhu. 2016. Model-Based Continuous Verification. In Software Engineering Conference (APSEC), 2016 23rd Asia-Pacific. IEEE, 81--88.Google Scholar
- FindBugs. 2017. FindBugs. (2017). Retrieved 2017-7 from http://findbugs.sourceforge.net/Google Scholar
- WordPress for Android. 2017. revision 663ce5c. (2017). Retrieved 2017-7 from https://github.com/wordpress-mobile/WordPress-Android/commit/663ce5c1bbd739f29f6c23d9ecacbd666e4f806fGoogle Scholar
- Qing Gao, Hansheng Zhang, Jie Wang, Yingfei Xiong, Lu Zhang, and Hong Mei. 2015. Fixing Recurring Crash Bugs via Analyzing Q&A Sites (T). In 30th IEEE/ACM International Conference on Automated Software Engineering, ASE 2015, Lincoln, NE, USA, November 9--13, 2015. 307--318.Google ScholarDigital Library
- Google. 2017. Android Developers Documentation. (2017). Retrieved 2017-7 from https://developer.android.com/reference/packages.htmlGoogle Scholar
- Google. 2017. Android Lint Checks. (2017). Retrieved 2017-8 from http://tools.android.com/tips/lint-checksGoogle Scholar
- Google. 2017. Fragments. (2017). Retrieved 2017-7 from https://developer.android.com/guide/components/fragments.htmlGoogle Scholar
- Google. 2017. Handler. (2017). Retrieved 2017-7 from https://developer.android.com/reference/android/os/Handler.htmlGoogle Scholar
- Google. 2017. Keeping Your App Responsive. (2017). Retrieved 2017-7 from https://developer.android.com/training/articles/perf-anr.htmlGoogle Scholar
- Google. 2017. Lint. (2017). Retrieved 2017-7 from https://developer.android.com/studio/write/lint.htmlGoogle Scholar
- Google. 2017. Looper. (2017). Retrieved 2017-7 from https://developer.android.com/reference/android/os/Looper.htmlGoogle Scholar
- Google. 2017. Managing Bitmap Memory. (2017). Retrieved 2017-7 from https://developer.android.com/topic/performance/graphics/manage-memory.htmlGoogle Scholar
- Google. 2017. Monkey. (2017). Retrieved 2017-7 from http://developer.android.com/tools/help/monkey.htmlGoogle Scholar
- Google. 2017. NetworkOnMainThreadException. (2017). Retrieved 2017-7 from https://developer.android.com/reference/android/os/NetworkOnMainThreadException.htmlGoogle Scholar
- Google. 2017. PhoneStateListener. (2017). Retrieved 2017-7 from http://grepcode.com/file/repository.grepcode.com/java/ext/com.google.android/android/4.3.1_r1/android/telephony/PhoneStateListener.java#PhoneStateListener.0mHandlerGoogle Scholar
- Google. 2017. Processes and Threads. (2017). Retrieved 2017-7 from https://developer.android.com/guide/components/processes-and-threads.htmlGoogle Scholar
- Google. 2017. Requesting Permissions at Run Time. (2017). Retrieved 2017-7 from https://developer.android.com/training/permissions/requesting.htmlGoogle Scholar
- Google. 2017. The Activity Lifecycle. (2017). Retrieved 2017-7 from https://developer.android.com/guide/components/activities/activity-lifecycle.htmlGoogle Scholar
- Simone GRAZIUSSI. 2016. Lifecycle and Event-Based Testing for Android Applications. Master's thesis. School Of Industrial Engineering and Information, Politecnico.Google Scholar
- F-droid Group. 2017. F-Droid. (2017). Retrieved 2017-2-18 from https://f-droid.org/Google Scholar
- JaCoCo Group. 2017. JaCoCo. (2017). Retrieved 2017-7 from http://www.eclemma.org/jacoco/Google Scholar
- Tianxiao Gu, Chun Cao, Tianchi Liu, Chengnian Sun, Jing Deng, Xiaoxing Ma, and Jian Lu. 2017. AimDroid: Activity-Insulated Multi-level Automated Testing for Android Applications. In 2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017, Shanghai, China, September 17--22, 2017. 103--114.Google Scholar
- Shuai Hao, Bin Liu, Suman Nath, William G.J. Halfond, and Ramesh Govindan. 2014. PUMA: Programmable UI-automation for Large-scale Dynamic Analysis of Mobile Apps. In Proceedings of the 12th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '14). ACM, New York, NY, USA, 204--217. Google ScholarDigital Library
- Cuixiong Hu and Iulian Neamtiu. 2011. Automating GUI Testing for Android Applications. In Proceedings of the 6th International Workshop on Automation of Software Test (AST '11). ACM, New York, NY, USA, 77--83. Google ScholarDigital Library
- Gang Hu, Xinhao Yuan, Yang Tang, and Junfeng Yang. 2014. Efficiently, effectively detecting mobile app bugs with AppDoctor. In Ninth Eurosys Conference 2014, EuroSys 2014, Amsterdam, The Netherlands, April 13--16, 2014. 18:1--18:15. Google ScholarDigital Library
- JDK. 2017. JDK 7 Compatibility Issues. (2017). Retrieved 2017-7 from http://kb.yworks.com/article/550/Google Scholar
- Shujuan Jiang, Hongchang Zhang, Qingtan Wang, and Yanmei Zhang. 2010. A Debugging Approach for Java Runtime Exceptions Based on Program Slicing and Stack Traces. In Proceedings of the 2010 10th International Conference on Quality Software (QSIC '10). IEEE Computer Society, Washington, DC, USA, 393--398. Google ScholarDigital Library
- Nataniel P. Borges Jr. 2017. Data flow oriented UI testing: exploiting data flows and UI elements to test Android applications. In Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis, Santa Barbara, CA, USA, July 10 - 14, 2017. 432--435. Google ScholarDigital Library
- Junit. 2017. Junit. (2017). Retrieved 2017-7 from http://junit.org/junit4/Google Scholar
- Pavneet Singh Kochhar, Ferdian Thung, Nachiappan Nagappan, Thomas Zimmermann, and David Lo. 2015. Understanding the Test Automation Culture of App Developers. In 8th IEEE International Conference on Software Testing, Verification and Validation, ICST 2015, Graz, Austria, April 13--17, 2015. 1--10.Google Scholar
- Mario Linares-Vásquez, Gabriele Bavota, Michele Tufano, Kevin Moran, Massimiliano Di Penta, Christopher Vendome, Carlos Bernal-Cárdenas, and Denys Poshyvanyk. 2017. Enabling Mutation Testing for Android Apps. In Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering (ESEC/FSE 2017). ACM, New York, NY, USA, 233--244. Google ScholarDigital Library
- Mario Linares-Vasquez, Christopher Vendome, Qi Luo, and Denys Poshyvanyk. 2015. How Developers Detect and Fix Performance Bottlenecks in Android Apps. In Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution (ICSME) (ICSME '15). IEEE Computer Society, Washington, DC, USA, 352--361. Google ScholarDigital Library
- Yepang Liu, Lili Wei, Chang Xu, and Shing-Chi Cheung. 2016. DroidLeaks: Benchmarking Resource Leak Bugs for Android Applications. CoRR abs/1611.08079 (2016).Google Scholar
- Yepang Liu, Chang Xu, and Shing-Chi Cheung. 2014. Characterizing and Detecting Performance Bugs for Smartphone Applications. In Proceedings of the 36th International Conference on Software Engineering (ICSE 2014). 1013--1024. Google ScholarDigital Library
- Yepang Liu, Chang Xu, Shing-Chi Cheung, and Valerio Terragni. 2016. Understanding and Detecting Wake Lock Misuses for Android Applications. In Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE 2016). ACM, New York, NY, USA, 396--409. Google ScholarDigital Library
- Local-GSM-Backend. 2017. Local-GSM-Backend. (2017). Retrieved 2017-7 from https://github.com/n76/Local-GSM-BackendGoogle Scholar
- Local-GSM-Backend. 2017. Local-GSM-Backend revision 07e4a759. (2017). Retrieved 2017-7 from https://github.com/n76/Local-GSM-Backend/commit/07e4a759392c6f2c0b28890f96a177cb211fc2dGoogle Scholar
- Alex Lockwood. 2017. Fragment Transactions and Activity State Loss. (2017). Retrieved 2017-7 from http://www.androiddesignpatterns.com/2013/08/fragment-transaction-commit-state-loss.htmlGoogle Scholar
- Aravind Machiry, Rohan Tahiliani, and Mayur Naik. 2013. Dynodroid: an input generation system for Android apps. In Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering, ESEC/FSE'13, Saint Petersburg, Russian Federation, August 18--26, 2013. 224--234. Google ScholarDigital Library
- Riyadh Mahmood, Nariman Mirzaei, and Sam Malek. 2014. EvoDroid: segmented evolutionary testing of Android apps. In Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, November 16 - 22, 2014. 599--609. Google ScholarDigital Library
- Amiya Kumar Maji, Kangli Hao, Salmin Sultana, and Saurabh Bagchi. 2010. Characterizing Failures in Mobile OSes: A Case Study with Android and Symbian. In Proceedings of the 2010 IEEE 21st International Symposium on Software Reliability Engineering (ISSRE '10). IEEE Computer Society, Washington, DC, USA, 249--258. Google ScholarDigital Library
- Ke Mao, Mark Harman, and Yue Jia. 2016. Sapienz: multi-objective automated testing for Android applications. In Proceedings of the 25th International Symposium on Software Testing and Analysis, ISSTA 2016, Saarbrücken, Germany, July 18--20, 2016. 94--105. Google ScholarDigital Library
- Tyler McDonnell, Baishakhi Ray, and Miryung Kim. 2013. An Empirical Study of API Stability and Adoption in the Android Ecosystem. In Proceedings of the 2013 IEEE International Conference on Software Maintenance (ICSM '13). IEEE Computer Society, Washington, DC, USA, 70--79. Google ScholarDigital Library
- Guozhu Meng, Yinxing Xue, Jing Kai Siow, Ting Su, Annamalai Narayanan, and Yang Liu. 2017. AndroVault: Constructing Knowledge Graph from Millions of Android Apps for Automated Analysis. arXiv preprint arXiv:1711.07451 (2017).Google Scholar
- Hamed Mirzaei and Abbas Heydarnoori. 2015. Exception Fault Localization in Android Applications. In Proceedings of the Second ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft '15). IEEE Press, Piscataway, NJ, USA, 156--157. Google ScholarDigital Library
- NextGIS Mobile. 2017. revision 2ef12a7. (2017). Retrieved 2017-7 from https://github.com/nextgis/android_gisapp/commit/2ef12a75eda6ed1c39a51e2ba18039cc571e5b0eGoogle Scholar
- Kevin Moran, Mario Linares Vásquez, Carlos Bernal-Cárdenas, Christopher Vendome, and Denys Poshyvanyk. 2016. Automatically Discovering, Reporting and Reproducing Android Application Crashes. In 2016 IEEE International Conference on Software Testing, Verification and Validation, ICST 2016, Chicago, IL, USA, April 11--15, 2016. 33--44.Google Scholar
- Kevin Moran, Mario Linares Vásquez, Carlos Bernal-Cárdenas, Christopher Vendome, and Denys Poshyvanyk. 2017. CrashScope: a practical tool for automated testing of Android applications. In Proceedings of the 39th International Conference on Software Engineering, ICSE 2017, Buenos Aires, Argentina, May 20--28, 2017 - Companion Volume. 15--18. Google ScholarDigital Library
- MPDroid. 2017. MPDroid. (2017). Retrieved 2017-7 from https://github.com/abarisain/dmix/issues/286Google Scholar
- Nextcloud Notes. 2017. Nextcloud Notes. (2017). Retrieved 2017-7 from https://github.com/stefan-niedermann/nextcloud-notesGoogle Scholar
- Nextcloud Notes. 2017. Nextcloud Notes. (2017). Retrieved 2017-7 from https://github.com/stefan-niedermann/nextcloud-notes/issues/199Google Scholar
- Nextcloud Notes. 2017. Nextcloud Notes. (2017). Retrieved 2017-7 from https://github.com/stefan-niedermann/nextcloud-notes/pull/212/commits/aa1a97292b5f7511473282cc40f23e786f019d7fGoogle Scholar
- PMD. 2017. PMD Android rules. (2017). Retrieved 2017-8 from https://pmd.github.io/pmd-5.8.1/pmd-java/rules/java/android.htmlGoogle Scholar
- Lenin Ravindranath, Suman Nath, Jitendra Padhye, and Hari Balakrishnan. 2014. Automatic and Scalable Fault Detection for Mobile Applications. In Proceedings of the 12th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '14). ACM, New York, NY, USA, 190--203. Google ScholarDigital Library
- Robolectric. 2017. Robolectric: test-drive your Android code. (2017). Retrieved 2017-7 from http://robolectric.org/Google Scholar
- Vlad Roubtsov. 2017. EMMA. (2017). Retrieved 2017-2-18 from http://emma.sourceforge.net/Google Scholar
- Gayathri Santhanakrishnan, Chris Cargile, and Aspen Olmsted. 2016. Memory leak detection in android applications based on code patterns. In Information Society (i-Society), 2016 International Conference on. IEEE, 133--134.Google Scholar
- Hossain Shahriar, Sarah North, and Edward Mawangi. 2014. Testing of Memory Leak in Android Applications. In 15th International IEEE Symposium on High-Assurance Systems Engineering, HASE 2014, Miami Beach, FL, USA, January 9--11, 2014. 176--183. Google ScholarDigital Library
- Zhiyong Shan, Tanzirul Azim, and Iulian Neamtiu. 2016. Finding Resume and Restart Errors in Android Applications. In Proceedings of the 2016 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA 2016). ACM, New York, NY, USA, 864--880. Google ScholarDigital Library
- Saurabh Sinha, Hina Shah, Carsten Görg, Shujuan Jiang, Mijung Kim, and Mary Jean Harrold. 2009. Fault Localization and Repair for Java Runtime Exceptions. In Proceedings of the Eighteenth International Symposium on Software Testing and Analysis (ISSTA '09). ACM, New York, NY, USA, 153--164. Google ScholarDigital Library
- Sonar. 2017. Sonar. (2017). Retrieved 2017-7 from https://www.sonarqube.org/Google Scholar
- Wei Song, Xiangxing Qian, and Jeff Huang. 2017. EHBDroid: Beyond GUI Testing for Android Applications. In Proceedings of the 32Nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2017). IEEE Press, Piscataway, NJ, USA, 27--37. Google ScholarDigital Library
- Ting Su. 2016. FSMdroid: Guided GUI Testing of Android Apps. In Proceedings of the 38th International Conference on Software Engineering, ICSE 2016, Austin, TX, USA, May 14--22, 2016 - Companion Volume. 689--691. Google ScholarDigital Library
- Ting Su, Guozhu Meng,Yuting Chen, Ke Wu, Weiming Yang, Yao Yao, Geguang Pu, Yang Liu, and Zhendong Su. 2017. Guided, Stochastic Model-based GUI Testing of Android Apps. In Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering (ESEC/FSE 2017). ACM, New York, NY, USA, 245--256. Google ScholarDigital Library
- Ting Su, Ke Wu, Weikai Miao, Geguang Pu, Jifeng He, Yuting Chen, and Zhendong Su. 2017. A Survey on Data-Flow Testing. ACM Comput. Surv. 50, 1, Article 5 (March 2017), 35 pages. Google ScholarDigital Library
- Raja Vallée-Rai, Phong Co, Etienne Gagnon, Laurie Hendren, Patrick Lam, and Vijay Sundaresan. 1999. Soot-a Java bytecode optimization framework. In Proceedings of the 1999 conference of the Centre for Advanced Studies on Collaborative research. IBM Press, 13. Google ScholarDigital Library
- Heila van der Merwe, Brink van der Merwe, and Willem Visser. 2012. Verifying Android Applications Using Java PathFinder. SIGSOFT Softw. Eng. Notes 37, 6 (Nov. 2012), 1--5. Google ScholarDigital Library
- Lili Wei, Yepang Liu, and Shing-Chi Cheung. 2016. Taming Android Fragmentation: Characterizing and Detecting Compatibility Issues for Android Apps. In Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering (ASE 2016). ACM, New York, NY, USA, 226--237. Google ScholarDigital Library
- Rongxin Wu, Hongyu Zhang, Shing-Chi Cheung, and Sunghun Kim. 2014. CrashLocator: Locating Crashing Faults Based on Crash Stacks. In Proceedings of the 2014 International Symposium on Software Testing and Analysis (ISSTA 2014). ACM, New York, NY, USA, 204--214. Google ScholarDigital Library
- Wei Yang, Mukul R. Prasad, and Tao Xie. 2013. A Grey-Box Approach for Automated GUI-Model Generation of Mobile Applications. In Fundamental Approaches to Software Engineering - 16th International Conference, FASE 2013, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2013, Rome, Italy, March 16--24, 2013. Proceedings. 250--265. Google ScholarDigital Library
- Razieh Nokhbeh Zaeem, Mukul R. Prasad, and Sarfraz Khurshid. 2014. Automated Generation of Oracles for Testing User-Interaction Features of Mobile Apps. In Proceedings of the 2014 IEEE International Conference on Software Testing, Verification, and Validation (ICST '14). IEEE Computer Society, Washington, DC, USA, 183--192. Google ScholarDigital Library
Index Terms
- Large-scale analysis of framework-specific exceptions in Android apps
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