ABSTRACT
Mobile devices and platforms have become an established target for modern software developers due to performant hardware and a large and growing user base numbering in the billions. Despite their popularity, the software development process for mobile apps comes with a set of unique, domain-specific challenges rooted in program comprehension. Many of these challenges stem from developer difficulties in reasoning about different representations of a program, a phenomenon we define as a "language dichotomy". In this paper, we reflect upon the various language dichotomies that contribute to open problems in program comprehension and development for mobile apps. Furthermore, to help guide the research community towards effective solutions for these problems, we provide a roadmap of directions for future work.
- 2018 stack overflow developer survey https://insights.stackoverflow.com/survey/2018/.Google Scholar
- Adobe Photoshop http://www.photoshop.com.Google Scholar
- Android architecture components https://developer.android.com/topic/libraries/architecture/index.html.Google Scholar
- Android studio layout editor https://developer.android.com/studio/write/layout-editor.html.Google Scholar
- Android UI/Application Exerciser Monkey http://developer.android.com/tools/help/monkey.html.Google Scholar
- Apple App Store https://www.apple.com/ios/app-store/.Google Scholar
- Arcore https://developers.google.com/ar/discover/.Google Scholar
- Arkit https://developer.apple.com/arkit/.Google Scholar
- Google Play Store https://play.google.com/store?hl=en.Google Scholar
- Intent Fuzzer https://www.isecpartners.com/tools/mobile-security/intent-fuzzer.aspx.Google Scholar
- ionic framework https://ionicframework.com/.Google Scholar
- React native https://facebook.github.io/react-native/.Google Scholar
- The Sketch Design Tool https://www.sketchapp.com.Google Scholar
- Statista - Mobile Market Share https://www.statista.com/statistics/266136/global-market-share-held-by-smartphone-operating-systems/.Google Scholar
- Xamarin Test Cloud https://www.xamarin.com.Google Scholar
- Xcode interface builder https://developer.apple.com/xcode/interface-builder/.Google Scholar
- How developers micro-optimize android apps. J. Syst. Softw., 130(C):1--23, Aug. 2017. Google ScholarDigital Library
- T. Agolli, L. Pollock, and J. Clause. Investigating decreasing energy usage in mobile apps via indistinguishable color changes. In 2017 IEEE/ACM 4th International Conference on Mobile Software Engineering and Systems, MobileSoft'17, pages 30--34, May 2017. Google ScholarDigital Library
- D. Amalfitano, A. R. Fasolino, P. Tramontana, S. De Carmine, and A. M. Memon. Using GUI Ripping for Automated Testing of Android Applications. In Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering, ASE'12, pages 258--261, Essen, Germany, 2012. ACM. Google ScholarDigital Library
- S. Anand, M. Naik, M. J. Harrold, and H. Yang. Automated Concolic Testing of Smartphone Apps. In Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering, FSE '12, pages 59:1--59:11, Cary, North Carolina, 2012. ACM. Google ScholarDigital Library
- Apple. App Store - Support. https://developer.apple.com/support/app-store/.Google Scholar
- J. Aranda and G. Venolia. The secret life of bugs: Going past the errors and omissions in software repositories. In 31st International Conference on Software Engineering, ICSE 2009, May 16-24, 2009, Vancouver, Canada, Proceedings, pages 298--308, 2009. Google ScholarDigital Library
- T. Azim and I. Neamtiu. 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 '13, pages 641--660, Indianapolis, Indiana, USA, 2013. ACM. Google ScholarDigital Library
- G. Bavota, M. Linares-Vásquez, C. Bernal-Cárdenas, M. Di Penta, R. Oliveto, and D. Poshyvanyk. The Impact of API Change- and Fault-Proneness on the User Ratings of Android Apps. Software Engineering, IEEE Transactions on, 41(4):384--407, Apr. 2015.Google ScholarDigital Library
- J. Bell, N. Sarda, and G. Kaiser. Chronicler: Lightweight Recording to Reproduce Field Failures. In Proceedings of the 2013 International Conference on Software Engineering, ICSE'13, pages 362--371, San Francisco, CA, USA, 2013. IEEE Press. Google ScholarDigital Library
- T. Beltramelli. Pix2code: Generating Code from a Graphical User Interface Screenshot. CoRR, abs/1705.07962, 2017.Google Scholar
- N. Bettenburg, R. Premraj, T. Zimmermann, and S. Kim. Extracting Structural Information from Bug Reports. In Proceedings of the 2008 International Working Conference on Mining Software Repositories, MSR '08, pages 27--30, Leipzig, Germany, 2008. ACM. Google ScholarDigital Library
- Y. Cao, H. Zhang, and S. Ding. SymCrash: Selective Recording for Reproducing Crashes. In Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering, ASE '14, pages 791--802, Vasteras, Sweden, 2014. ACM. Google ScholarDigital Library
- N. Chen, J. Lin, S. C. H. Hoi, X. Xiao, and B. Zhang. AR-miner: Mining Informative Reviews for Developers from Mobile App Marketplace. In Proceedings of the 36th International Conference on Software Engineering, ICSE'14, pages 767--778, Hyderabad, India, 2014. ACM. Google ScholarDigital Library
- W. Choi, G. Necula, and K. Sen. 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 '13, pages 623--640, Indianapolis, Indiana, USA, 2013. ACM. Google ScholarDigital Library
- S. R. Choudhary, A. Gorla, and A. Orso. Automated Test Input Generation for Android: Are We There Yet? (E). In 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE), ASE'15, pages 429--440, Nov. 2015. ISSN:.Google ScholarDigital Library
- S. A. Chowdhury and A. Hindle. Characterizing Energy-aware Software Projects: Are They Different? In Proceedings of the 13th International Conference on Mining Software Repositories, MSR '16, pages 508--511, Austin, Texas, 2016. ACM. Google ScholarDigital Library
- J. Clause and A. Orso. A Technique for Enabling and Supporting Debugging of Field Failures. In Proceedings of the 29th International Conference on Software Engineering, ICSE '07, pages 261--270, Washington, DC, USA, 2007. IEEE Computer Society. Google ScholarDigital Library
- K. Czarnecki, Z. Malik, and R. Lotufo. Modelling the ‘Hurried’ Bug Report Reading Process to Summarize Bug Reports. In Proceedings of the 2012 IEEE International Conference on Software Maintenance (ICSM), ICSM '12, pages 430--439, Washington, DC, USA, 2012. IEEE Computer Society. Google ScholarDigital Library
- L. Deng, N. Mirzaei, P. Ammann, and J. Offutt. Towards mutation analysis of Android apps. In ICSTW '15, ICSTW '15, pages 1--10, Apr. 2015.Google ScholarCross Ref
- L. Deng, J. Offutt, P. Ammann, and N. Mirzaei. Mutation Operators for Testing Android Apps. Inf. Softw. Technol., 81(C):154--168, Jan. 2017. Google ScholarDigital Library
- D. Di Nucci, F. Palomba, A. Prota, A. Panichella, A. Zaidman, and A. De Lucia. PETrA: A software-based tool for estimating the energy profile of android applications. In Proceedings of the 39th International Conference on Software Engineering Companion, ICSE-C'17, pages 3--6, Piscataway, NJ, USA, 2017. IEEE Press. Google ScholarDigital Library
- B. Dit, M. Revelle, M. Gethers, and D. Poshyvanyk. Feature location in source code: a taxonomy and survey. Journal of Software: Evolution and Process, 25(1):53-- 95.Google ScholarCross Ref
- M. Dong and L. Zhong. Chameleon: A color-adaptive web browser for mobile OLED displays. IEEE Transactions on Mobile Computing, 11(5):724--738, May 2012. Google ScholarDigital Library
- M. Dong and L. Zhong. Power modeling and optimization for OLED displays. IEEE Transaction on Mobile Computing, 11(9):September, 2012. Google ScholarDigital Library
- M. Fazzini, E. N. D. A. Freitas, S. R. Choudhary, and A. Orso. Barista: A Technique for Recording, Encoding, and Running Platform Independent Android Tests. In 2017 IEEE International Conference on Software Testing, Verification and Validation (ICST), ICST'17, pages 149--160, Mar. 2017. ISSN:.Google ScholarCross Ref
- M. Fazzini and A. Orso. Automated cross-platform inconsistency detection for mobile apps. In 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), ASE'17, pages 308--318, Oct. 2017. ISSN:. Google ScholarDigital Library
- L. Gomez, I. Neamtiu, T. Azim, and T. Millstein. RERAN: Timing- and Touch-sensitive Record and Replay for Android. In Proceedings of the 2013 International Conference on Software Engineering, ICSE'13, pages 72--81, San Francisco, CA, USA, 2013. IEEE Press. Google ScholarDigital Library
- G. Grano, A. Ciurumelea, S. Panichella, S. Palomba, and H. Gall. Exploring the integration of user feedback in automated testing of android applications. In Proceedings of the 25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER '18, 2018.Google ScholarCross Ref
- T. Gu, C. Cao, T. Liu, C. Sun, J. Deng, X. Ma, and J. Lü. AimDroid: Activity-Insulated Multi-level Automated Testing for Android Applications. In 2017 IEEE International Conference on Software Maintenance and Evolution (ICSME), ICSME'17, pages 103--114, Sept. 2017. ISSN:.Google Scholar
- Z. Gu, E. Barr, D. Hamilton, and Z. Su. Has the bug really beenfi xed? In Software Engineering, 2010 ACM/IEEE 32nd International Conference On, volume 1 of ICSE'10, pages 55--64, May 2010. Google ScholarDigital Library
- J. Gui, S. Mcilroy, M. Nagappan, and W. G. J. Halfond. Truth in Advertising: The Hidden Cost of Mobile Ads for Software Developers. In Proceedings of the 37th International Conference on Software Engineering - Volume 1, ICSE '15, pages 100--110, Florence, Italy, 2015. IEEE Press. Google ScholarDigital Library
- P. J. Guo, T. Zimmermann, N. Nagappan, and B. Murphy. Characterizing and Predicting Which Bugs Get Fixed: An Empirical Study of Microsoft Windows. In Proceedings of the 32Nd ACM/IEEE International Conference on Software Engineering - Volume 1, ICSE '10, pages 495--504, Cape Town, South Africa, 2010. ACM. Google ScholarDigital Library
- D. Han, C. Zhang, X. Fan, A. Hindle, K. Wong, and E. Stroulia. Understanding android fragmentation with topic analysis of vendor-specific bugs. InProceedings of the 2012 19th Working Conference on Reverse Engineering, WCRE '12, pages 83--92, Washington, DC, USA, 2012. IEEE Computer Society. Google ScholarDigital Library
- S. Hao, B. Liu, S. Nath, W. G. Halfond, and R. Govindan. 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, pages 204--217, Bretton Woods, New Hampshire, USA, 2014. ACM. Google ScholarDigital Library
- G. Hu, X. Yuan, Y. Tang, and J. Yang. Efficiently, Effectively Detecting Mobile App Bugs with AppDoctor. In Proceedings of the Ninth European Conference on Computer Systems, EuroSys '14, pages 18:1--18:15, Amsterdam, The Netherlands, 2014. ACM. Google ScholarDigital Library
- Y. Hu, T. Azim, and I. Neamtiu. Versatile Yet Lightweight Record-and-replay for Android. In OOPSLA'15, OOPSLA 2015, pages 349--366, Pittsburgh, PA, USA, 2015. ACM. Google ScholarDigital Library
- R. Jabbarvand, A. Sadeghi, J. Garcia, S. Malek, and P. Ammann. Ecodroid: An approach for energy-based ranking of android apps. In Proceedings of the Fourth International Workshop on Green and Sustainable Software, GREENS '15, pages 8--14, Piscataway, NJ, USA, 2015. IEEE Press. Google ScholarDigital Library
- G. Jeong, S. Kim, and T. Zimmermann. Improving Bug Triage with Bug Tossing Graphs. In Proceedings of the the 7th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on The Foundations of Software Engineering, ESEC/FSE '09, pages 111--120, Amsterdam, The Netherlands, 2009. ACM. Google ScholarDigital Library
- W. Jin and A. Orso. BugRedux: Reproducing Field Failures for In-house Debugging. In Proceedings of the 34th International Conference on Software Engineering, ICSE '12, pages 474--484, Zurich, Switzerland, 2012. IEEE Press. Google ScholarDigital Library
- W. Jin and A. Orso. F3: Fault Localization for Field Failures. In Proceedings of the 2013 International Symposium on Software Testing and Analysis, ISSTA'13, pages 213--223, Lugano, Switzerland, 2013. ACM. Google ScholarDigital Library
- N. Jones. Seven best practices for optimizing mobile testing efforts. Technical Report G00248240, Gartner.Google Scholar
- M. Joorabchi, M. Mirzaaghaei, and A. Mesbah. Works for Me! Characterizing Non-reproducible Bug Reports. In Proceedings of the 11th Working Conference on Mining Software Repositories, MSR'14, pages 62--71, Hyderabad, India, 2014. ACM. Google ScholarDigital Library
- M. E. Joorabchi, M. Ali, and A. Mesbah. Detecting inconsistencies in multi-platform mobile apps. In 2015 IEEE 26th International Symposium on Software Reliability Engineering (ISSRE), ISSRE'15, pages 450--460, Nov. 2015. Google ScholarDigital Library
- H. Khalid, M. Nagappan, E. Shihab, and A. E. Hassan. Prioritizing the Devices to Test Your App on: A Case Study of Android Game Apps. In Proceedings of the 22Nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, FSE'14, pages 610--620, Hong Kong, China, 2014. ACM. Google ScholarDigital Library
- F. M. Kifetew, W. Jin, R. Tiella, A. Orso, and P. Tonella. Reproducing Field Failures for Programs with Complex Grammar-Based Input. In 2014 IEEE Seventh International Conference on Software Testing, Verification and Validation, ICST'14, pages 163--172, Mar. 2014. Google ScholarDigital Library
- D. Kim, Y. Tao, S. Kim, and A. Zeller. Where Should We Fix This Bug? A Two-Phase Recommendation Model. Software Engineering, IEEE Transactions on, 39(11):1597--1610, Nov. 2013. Google ScholarDigital Library
- S. Kim, T. Zimmermann, and N. Nagappan. Crash graphs: An aggregated view of multiple crashes to improve crash triage. In Dependable Systems Networks (DSN), 2011 IEEE/IFIP 41st International Conference On, DSN'11, pages 486--493, June 2011. Google ScholarDigital Library
- A. G. Koru and J. Tian. Defect Handling in Medium and Large Open Source Projects. IEEE Softw., 21(4):54--61, July 2004. Google ScholarDigital Library
- V. Lelli, A. Blouin, and B. Baudry. Classifying and Qualifying GUI Defects. In 2015 IEEE 8th International Conference on Software Testing, Verification and Validation (ICST), ICST'15, pages 1--10, Apr. 2015.Google Scholar
- D. Li and W. G. J. Halfond. Optimizing energy of http requests in android applications. In Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile, DeMobile 2015, pages 25--28, 2015. Google ScholarDigital Library
- D. Li, S. Hao, J. Gui, and W. G. J. Halfond. An Empirical Study of the Energy Consumption of Android Applications. In 2014 IEEE International Conference on Software Maintenance and Evolution, ICSME'14, pages 121--130, Sept. 2014. Google ScholarDigital Library
- D. Li, S. Hao, W. G. J. Halfond, and R. Govindan. Calculating Source Line Level Energy Information for Android Applications. In Proceedings of the 2013 International Symposium on Software Testing and Analysis, ISSTA'13, pages 78--89, Lugano, Switzerland, 2013. ACM. Google ScholarDigital Library
- D. Li, Y. Lyu, J. Gui, and W. G. J. Halfond. Automated Energy Optimization of HTTP Requests for Mobile Applications. In Proceedings of the 38th International Conference on Software Engineering, ICSE '16, pages 249--260, New York, NY, USA, 2016. ACM. Google ScholarDigital Library
- D. Li, A. H. Tran, and W. G. J. Halfond. Making Web Applications More Energy Efficient for OLED Smartphones. In Proceedings of the 36th International Conference on Software Engineering, ICSE'14, pages 527--538, Hyderabad, India, 2014. ACM. Google ScholarDigital Library
- L. Li, T. F. BissyandÃl', M. Papadakis, S. Rasthofer, A. Bartel, D. Octeau, J. Klein, and L. Traon. Static analysis of android apps: A systematic literature review. Information and Software Technology, 88:67 -- 95, 2017. Google ScholarDigital Library
- Y. Lin, S. Okur, and D. Dig. Study and Refactoring of Android Asynchronous Programming (T). In 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE), ASE'15, pages 224--235, Nov. 2015. ISSN:.Google ScholarDigital Library
- M. Linares-Vásquez, G. Bavota, C. Bernal-Cárdenas, M. Di Penta, R. Oliveto, and D. Poshyvanyk. API Change and Fault Proneness: A Threat to the Success of Android Apps. In Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering, FSE'13, pages 477--487, Saint Petersburg, Russia, 2013. ACM. Google ScholarDigital Library
- M. Linares-Vásquez, G. Bavota, C. Bernal-Cárdenas, R. Oliveto, M. Di Penta, and D. Poshyvanyk. Mining Energy-greedy API Usage Patterns in Android Apps: An Empirical Study. In Proceedings of the 11th Working Conference on Mining Software Repositories, MSR'14, pages 2--11, Hyderabad, India, 2014. ACM. Google ScholarDigital Library
- M. Linares-Vásquez, G. Bavota, C. E. B. Cárdenas, R. Oliveto, M. Di Penta, and D. Poshyvanyk. Optimizing Energy Consumption of GUIs in Android Apps: A Multi-objective Approach. In Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, FSE'15, pages 143--154, Bergamo, Italy, 2015. ACM. Google ScholarDigital Library
- M. Linares-Vásquez, G. Bavota, M. Tufano, K. Moran, M. Di Penta, C. Vendome, C. Bernal-Cárdenas, and D. Poshyvanyk. Enabling Mutation Testing for Android Apps. In Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, FSE'17, pages 233--244, Paderborn, Germany, 2017. ACM. Google ScholarDigital Library
- M. Linares-Vásquez, C. Bernal-Cardenas, K. Moran, and D. Poshyvanyk. How do Developers Test Android Applications? In 2017 IEEE International Conference on Software Maintenance and Evolution (ICSME), ICSME'17, pages 613--622, Sept. 2017. ISSN:.Google ScholarCross Ref
- M. Linares-Vásquez, K. Hossen, H. Dang, H. Kagdi, M. Gethers, and D. Poshyvanyk. Triaging incoming change requests: Bug or commit history, or code authorship? In Software Maintenance (ICSM), 2012 28th IEEE International Conference On, pages 451--460, Sept. 2012. Google ScholarDigital Library
- M. Linares-Vásquez, K. Moran, and D. Poshyvanyk. Continuous, Evolutionary and Large-Scale: A New Perspective for Automated Mobile App Testing. In 2017 IEEE International Conference on Software Maintenance and Evolution (ICSME), ICSME'17, pages 399--410, Sept. 2017. ISSN:.Google Scholar
- M. Linares-Vásquez, C. Vendome, Q. Luo, and D. Poshyvanyk. How developers detect and fix performance bottlenecks in Android apps. In 2015 IEEE International Conference on Software Maintenance and Evolution (ICSME), ICSME'15, pages 352--361, Sept. 2015. ISSN:. Google ScholarDigital Library
- M. Linares-Vásquez, M. White, C. Bernal-Cárdenas, K. Moran, and D. Poshyvanyk. Mining Android App Usages for Generating Actionable GUI-based Execution Scenarios. In Proceedings of the 12th Working Conference on Mining Software Repositories, MSR '15, pages 111--122, Florence, Italy, 2015. IEEE Press. Google ScholarCross Ref
- M. Linares-VÃąsquez, C. Bernal-CÃąrdenas, G. Bavota, R. Oliveto, M. D. Penta, and D. Poshyvanyk. Gemma: Multi-objective optimization of energy consumption of guis in android apps. In 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C), ICSE-C'17, 2017. Google ScholarDigital Library
- Y. Liu, C. Xu, S. Cheung, and J. Lu. GreenDroid: Automated diagnosis of energy inefficiency for smartphone applications. IEEE Transactions on Software Engineering, Preprint, 2014.Google Scholar
- X. Lu, X. Liu, H. Li, T. Xie, Q. Mei, D. Hao, G. Huang, and F. Feng. PRADA: Prioritizing Android Devices for Apps by Mining Large-scale Usage Data. In Proceedings of the 38th International Conference on Software Engineering, ICSE '16, pages 3--13, New York, NY, USA, 2016. ACM. Google ScholarDigital Library
- A. Machiry, R. Tahiliani, and M. Naik. Dynodroid: An Input Generation System for Android Apps. In Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering, FSE'13, pages 224--234, Saint Petersburg, Russia, 2013. ACM. Google ScholarDigital Library
- S. Mahajan, N. Abolhasani, P. McMinn, and W. G. Halfond. Automated repair of mobile friendly problems in web pages. In Proceedings of the International Conference on Software Engineering (ICSE), May 2018. To Appear. Google ScholarDigital Library
- S. Mani, R. Catherine, V. S. Sinha, and A. Dubey. AUSUM: Approach for Unsupervised Bug Report Summarization. In Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering, FSE '12, pages 11:1--11:11, Cary, North Carolina, 2012. ACM. Google ScholarDigital Library
- K. Mao, M. Harman, and Y. Jia. Sapienz: Multi-objective Automated Testing for Android Applications. In Proceedings of the 25th International Symposium on Software Testing and Analysis, ISSTA'16, pages 94--105, Saarbrücken, Germany, 2016. ACM. Google ScholarDigital Library
- K. Mao, M. Harman, and Y. Jia. Crowd intelligence enhances automated mobile testing. In 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), ASE'17, pages 16--26, Oct. 2017. ISSN:. Google ScholarDigital Library
- W. Martin, F. Sarro, Y. Jia, Y. Zhang, and M. Harman. A survey of app store analysis for software engineering. IEEE transactions on software engineering, 43(9):817--847, 2017.Google ScholarDigital Library
- T. McDonnell, B. Ray, and M. Kim. An Empirical Study of API Stability and Adoption in the Android Ecosystem. In Proceedings of the 2013 International Conference on Software Maintenance, ICSM'13, pages 70--79, 2013. Google ScholarDigital Library
- K. Moran, C. Bernal-Cárdenas, M. Curcio, R. Bonett, and D. Poshyvanyk. Machine Learning-Based Prototyping of Graphical User Interfaces for Mobile Apps. ArXiv e-prints, Feb. 2018.Google Scholar
- K. Moran, R. Bonett, C. Bernal-Cárdenas, B. Otten, D. Park, and D. Poshyvanyk. On-Device Bug Reporting for Android Applications. In MobileSOFT'17, MobileSoft'17, May 2017. Google ScholarDigital Library
- K. Moran, B. Li, C. Bernal-Cárdenas, D. Jelf, and D. Poshyvanyk. Automated Reporting of GUI Design Violations in Mobile Apps. In Proceedings of the 40th International Conference on Software Engineering Companion, ICSE '18, page to appear, Gothenburg, Sweden, 2018. IEEE Press. Google ScholarDigital Library
- K. Moran, M. Linares-Vásquez, C. Bernal-Cárdenas, and D. Poshyvanyk. Autocompleting Bug Reports for Android Applications. In Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, FSE'15, pages 673--686, Bergamo, Italy, 2015. ACM. Google ScholarDigital Library
- K. Moran, M.Linares-Vásquez, C. Bernal-Cárdenas, andD. Poshyvanyk. FUSION: A Tool for Facilitating and Augmenting Android Bug Reporting. In ICSE'16, ICSE'16, May 2016. Google ScholarDigital Library
- K. Moran, M. Linares-Vásquez, C. Bernal-Cárdenas, C. Vendome, and D. Poshyvanyk. Automatically Discovering, Reporting and Reproducing Android Application Crashes. In 2016 IEEE International Conference on Software Testing, Verification and Validation (ICST), ICST'16, pages 33--44, Apr. 2016. ISSN:.Google Scholar
- K. Moran, M. Tufano, C. Bernal-Cárdenas, M. Linares-Vásquez, G. Bavota, C. Vendome, M. Di Penta, and D. Poshyvanyk. Mdroid+: A mutation testing framework for android. In Proceedings of the 40th International Conference on Software Engineering Companion, ICSE '18, page to appear, Gothenburg, Sweden, 2018. IEEE Press. Google ScholarDigital Library
- H. Muccini, A. Di Francesco, and P. Esposito. Software testing of mobile applications: Challenges and future research directions. In Proceedings of the 7th International Workshop on Automation of Software Test, AST '12, pages 29--35, Piscataway, NJ, USA, 2012. IEEE Press. Google ScholarDigital Library
- B. Myers. Challenges of HCI Design and Implementation. Interactions, 1(1):73--83, Jan. 1994. Google ScholarDigital Library
- H. Naguib, N. Narayan, B. Brügge, and D. Helal. Bug Report Assignee Recommendation Using Activity Profiles. In Proceedings of the 10th Working Conference on Mining Software Repositories, MSR '13, pages 22--30, San Francisco, CA, USA, 2013. IEEE Press. Google ScholarDigital Library
- A. T. Nguyen, T. T. Nguyen, and T. N. Nguyen. Divide-and-Conquer Approach for Multi-phase Statistical Migration for Source Code (T). In 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE), ASE'15, pages 585--596, Nov. 2015. ISSN:.Google ScholarDigital Library
- A. T. Nguyen, T. T. Nguyen, T. N. Nguyen, D. Lo, and C. Sun. Duplicate Bug Report Detection with a Combination of Information Retrieval and Topic Modeling. In Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering, ASE 2012, pages 70--79, Essen, Germany, 2012. ACM. Google ScholarDigital Library
- T. A. Nguyen and C. Csallner. Reverse Engineering Mobile Application User Interfaces with REMAUI. In Proceedings of the 2015 30th IEEE/ACM International Conference on Automated Software Engineering, ASE'15, pages 248--259, Washington, DC, USA, 2015. IEEE Computer Society.Google ScholarDigital Library
- D. D. Nucci, F. Palomba, A. Prota, A. Panichella, A. Zaidman, and A. D. Lucia. Software-based energy profiling of android apps: Simple, efficient and reliable? In 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering, SANER'17, pages 103--114, Feb 2017.Google ScholarCross Ref
- F. Palomba, M. Linares-Vásquez, G. Bavota, R. Oliveto, M. D. Penta, D. Poshyvanyk, and A. D. Lucia. User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps. In 2015 IEEE International Conference on Software Maintenance and Evolution (ICSME), ICSME'15, pages 291--300, Sept. 2015. ISSN:. Google ScholarDigital Library
- F. Palomba, M. Linares-VÃąsquez, G. Bavota, R. Oliveto, M. D. Penta, D. Poshyvanyk, and A. D. Lucia. Crowdsourcing user reviews to support the evolution of mobile apps. Journal of Systems and Software, 137:143 -- 162, 2018.Google Scholar
- F. Palomba, P. Salza, A. Ciurumelea, S. Panichella, H. Gall, F. Ferrucci, and A. D. Lucia. Recommending and Localizing Code Changes for Mobile Apps based on User Reviews. In ICSE'17, 2017. Google ScholarDigital Library
- A. Pathak, Y. Hu, and M. Zhang. Bootstrapping Energy Debugging on Smartphones: A First Look at Energy Bugs in Mobile Devices. In Hotnets'11, Hotnets'11. Google ScholarDigital Library
- A. Pathak, Y. Hu, and M. Zhang. Where is the energy spent inside my app? Fine Grained Energy Accounting on Smartphones with Eprof. In EuroSys'12, EuroSys'12, pages 29--42, 2012. Google ScholarDigital Library
- A. Pathak, A. Jindal, Y. Hu, and S. P. Midkiff. What is keeping my phone awake? Characterizing and Detecting No-Sleep Energy Bugs in Smartphone Apps. In MobiSys'12, MobiSys'12, pages 267--280, 2012. Google ScholarDigital Library
- K. Rasmussen, A. Wilson, and A. Hindle. Green mining: energy consumption of advertisement blocking methods. In GREENS'14, pages 38--45, 2014. Google ScholarDigital Library
- S. Rastkar, G. C. Murphy, and G. Murray. Summarizing Software Artifacts: A Case Study of Bug Reports. In Proceedings of the 32Nd ACM/IEEE International Conference on Software Engineering - Volume 1, ICSE '10, pages 505--514, Cape Town, South Africa, 2010. ACM. Google ScholarDigital Library
- M. P. Robillard, A. Marcus, C. Treude, G. Bavota, O. Chaparro, N. Ernst, M. A. Gerosa, M. Godfrey, M. Lanza, M. Linares-Vásquez, G. C. Murphy, L. Moreno, D. Shepherd, and E. Wong. On-demand Developer Documentation. In 2017 IEEE International Conference on Software Maintenance and Evolution (ICSME), ICSME'17, pages 479--483, Sept. 2017. ISSN:.Google Scholar
- S. Romansky, N. C. Borle, S. Chowdhury, A. Hindle, and R. Greiner. Deep Green: Modelling Time-Series of Software Energy Consumption. In 2017 IEEE International Conference on Software Maintenance and Evolution (ICSME), ICSME'17, pages 273--283, Sept. 2017. ISSN:.Google ScholarCross Ref
- R. Saborido, F. Khomh, A. Hindle, and E. Alba. An app performance optimization advisor for mobile device app marketplaces. CoRR, abs/1709.04916, 2017.Google Scholar
- A. Sadeghi, H. Bagheri, J. Garcia, and S. Malek. A taxonomy and qualitative comparison of program analysis techniques for security assessment of android software. IEEE Transactions on Software Engineering, 43(6):492--530, June 2017.Google ScholarDigital Library
- C. Sahin, M. Wan, P. Tornquist, R. McKenna, Z. Pearson, W. G. J. Halfond, and J. Clause. How does code obfuscation impact energy usage? Journal of Software: Evolution and Process, pages n/a-n/a, 2016. Google ScholarDigital Library
- R. Sasnauskas and J. Regehr. Intent Fuzzer: Crafting Intents of Death. In Proceedings of the 2014 Joint International Workshop on Dynamic Analysis and Software and System Performance Testing, Debugging, and Analytics, WODA+PERTEA'14, pages 1--5, San Jose, CA, USA, 2014. ACM. Google ScholarDigital Library
- R. Shokripour, J. Anvik, Z. M. Kasirun, and S. Zamani. Why So Complicated? Simple Term Filtering and Weighting for Location-based Bug Report Assignment Recommendation. In Proceedings of the 10th Working Conference on Mining Software Repositories, MSR '13, pages 2--11, San Francisco, CA, USA, 2013. IEEE Press. Google ScholarDigital Library
- P. Stanley-Marbell, V. Estellers, and M. Rinard. Crayon: saving power through shape and color approximation on next-generation displays. In Proceedings of the Eleventh European Conference on Computer Systems, page 11. ACM, 2016. Google ScholarDigital Library
- A. B. Tucker. Computer Science Handbook, Second Edition. Chapman & Hall/CRC, 2004. Google ScholarDigital Library
- M. Wan, Y. Jin, D. Li, and W. G. J. Halfond. Detecting Display Energy Hotspots in Android Apps. In 2015 IEEE 8th International Conference on Software Testing, Verification and Validation (ICST), ICST'15, pages 1--10, Apr. 2015.Google Scholar
- X. Wang, L. Zhang, T. Xie, J. Anvik, and J. Sun. An Approach to Detecting Duplicate Bug Reports Using Natural Language and Execution Information. In Proceedings of the 30th International Conference on Software Engineering, ICSE '08, pages 461--470, Leipzig, Germany, 2008. ACM. Google ScholarDigital Library
- L. Wei, Y. Liu, and S. C. Cheung. Taming Android fragmentation: Characterizing and detecting compatibility issues for Android apps. In 2016 31st IEEE/ACM International Conference on Automated Software Engineering (ASE), ASE'16, pages 226--237, Sept. 2016. ISSN:. Google ScholarDigital Library
- C. Weiss, R. Premraj, T. Zimmermann, and A. Zeller. How Long Will It Take to Fix This Bug? In Proceedings of the Fourth International Workshop on Mining Software Repositories, MSR '07, pages 1--, Washington, DC, USA, 2007. IEEE Computer Society. Google ScholarDigital Library
- H. Wu, S. Yang, and A. Rountev. Static detection of energy defect patterns in android applications. In Proceedings of the 25th International Conference on Compiler Construction, CC'16, pages 185--195, New York, NY, USA, 2016. ACM. Google ScholarDigital Library
- W. Yang, M. R. Prasad, and T. Xie. A Grey-box Approach for Automated GUI-model Generation of Mobile Applications. In Proceedings of the 16th International Conference on Fundamental Approaches to Software Engineering, FASE'13, pages 250--265, Rome, Italy, 2013. Springer-Verlag. Google ScholarDigital Library
- H. Ye, S. Cheng, L. Zhang, and F. Jiang. DroidFuzzer: Fuzzing the Android Apps with Intent-Filter Tag. In Proceedings of International Conference on Advances in Mobile Computing & Multimedia, MoMM '13, pages 68:68--68:74, Vienna, Austria, 2013. ACM. Google ScholarDigital Library
- R. N. Zaeem, M. R. Prasad, and S. Khurshid. 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, pages 183--192, Washington, DC, USA, 2014. IEEE Computer Society. Google ScholarDigital Library
- J. Zhou and H. Zhang. Learning to Rank Duplicate Bug Reports. In Proceedings of the 21st ACM International Conference on Information and Knowledge Management, CIKM '12, pages 852--861, Maui, Hawaii, USA, 2012. ACM. Google ScholarDigital Library
- J. Zhou, H. Zhang, and D. Lo. Where Should the Bugs Be Fixed? - More Accurate Information Retrieval-based Bug Localization Based on Bug Reports. In Proceedings of the 34th International Conference on Software Engineering, ICSE '12, pages 14--24, Zurich, Switzerland, 2012. IEEE Press. Google ScholarDigital Library
Index Terms
- Overcoming language dichotomies: toward effective program comprehension for mobile app development
Recommendations
WakeScope: runtime WakeLock anomaly management scheme for Android platform
EMSOFT '13: Proceedings of the Eleventh ACM International Conference on Embedded SoftwareAndroid provides a WakeLock mechanism for application developers to ensure the proper execution of applications without having to enter the sleep state of a device. When using the WakeLock mechanism, application developers should bear the responsibility ...
Are apps ready for new Android releases?
MOBILESoft '20: Proceedings of the IEEE/ACM 7th International Conference on Mobile Software Engineering and SystemsContext: Android operating system always brings new releases and updates to improve security, increase performance and bring a better user experience. When Google announces a new release, a whole chain of changes is triggered in cascade, causing many ...
Better code for better apps: a study on source code quality and market success of Android applications
MOBILESoft '15: Proceedings of the Second ACM International Conference on Mobile Software Engineering and SystemsThe quality of a mobile application is a major concern for developers, users and application stores. Even though several mobile-specific techniques have been proposed to evaluate the quality of a mobile software product, there is little evidence about ...
Comments