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An Explorative Study of the Mobile App Ecosystem from App Developers' Perspective

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Published:03 April 2017Publication History

ABSTRACT

With the prevalence of smartphones, app markets such as Apple App Store and Google Play has become the center stage in the mobile app ecosystem, with millions of apps developed by tens of thousands of app developers in each major market. This paper presents a study of the mobile app ecosystem from the perspective of app developers. Based on over one million Android apps and 320,000 developers from Google Play, we analyzed the Android app ecosystem from different aspects. Our analysis shows that while over half of the developers have released only one app in the market, many of them have released hundreds of apps. We classified developers into different groups based on the number of apps they have released, and compared their characteristics. Specially, we have analyzed the group of aggressive developers who have released more than 50 apps, trying to understand how and why they create so many apps. We also investigated the privacy behaviors of app developers, showing that some developers have a habit of producing apps with low privacy ratings. Our study shows that understanding the behavior of mobile developers can be helpful to not only other app developers, but also to app markets and mobile users.

References

  1. B. Andow, A. Nadkarni, B. Bassett, W. Enck, and T. Xie. A study of grayware on Google Play. In Proceedings of Workshop on Mobile Security Technologies, 2016.Google ScholarGoogle ScholarCross RefCross Ref
  2. AndroidLib, 2016. http://www.androlib.com/.Google ScholarGoogle Scholar
  3. Android Rank, 2016. http://www.androidrank.org/.Google ScholarGoogle Scholar
  4. App Annie Forecast, 2016. https://www.appannie.com/cn/landing/forecast/.Google ScholarGoogle Scholar
  5. AppBrain, 2016. http://www.appbrain.com/.Google ScholarGoogle Scholar
  6. Wikipedia App Store(iOS), 2016. https://en.wikipedia.org/wiki/App_Store_(iOS).Google ScholarGoogle Scholar
  7. R. Baeza-Yates, D. Jiang, F. Silvestri, and B. Harrison. Predicting the next app that you are going to use. In Proceedings of WSDM '15, pages 285--294, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. R. Balebako, A. Marsh, J. Lin, J. Hong, and L. Cranor. The privacy and security behaviors of smartphone app developers. In Proceedings of the 2014 Workshop on Usable Security (USEC), 2014.Google ScholarGoogle ScholarCross RefCross Ref
  9. E. Bello-Ogunu and M. Shehab. Permitme: integrating Android permissioning support in the IDE. In Proceedings of the 2014 Workshop on Eclipse Technology eXchange, pages 15--20. ACM, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. S. Chakradeo, B. Reaves, P. Traynor, and W. Enck. Mast: Triage for market-scale mobile malware analysis. In Proceedings of WiSec'13, pages 13--24. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. 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 ICSE '14, pages 767--778, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. E. Chin, A. P. Felt, V. Sekar, and D. Wagner. Measuring user confidence in smartphone security and privacy. In Proceedings of SOUPS '12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Detecting libraries in Android apps, 2016. http://radar.pkuos.org/.Google ScholarGoogle Scholar
  14. A demographic and business model analysis of today's app developer, 2016. http://www.doyoubuzz.com/var/f/xh/gJ/xhgJP6i_3R7alpfo5mCrKD4wLVByQzFvtIONbUGMcuX2AEWTZ-.pdf.Google ScholarGoogle Scholar
  15. N. d'Heureuse, F. Huici, M. Arumaithurai, M. Ahmed, K. Papagiannaki, and S. Niccolini. What's app?: A wide-scale measurement study of smart phone markets. SIGMOBILE Mob. Comput. Commun. Rev., 16(2), 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. W. Enck, P. Gilbert, B.-G. Chun, L. P. Cox, J. Jung, P. McDaniel, and A. N. Sheth. Taintdroid: An information-flow tracking system for realtime privacy monitoring on smartphones. In Proceedings of OSDI '10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. W. Enck, D. Octeau, P. McDaniel, and S. Chaudhuri. A study of Android application security. In Proceedings of the 20th USENIX Conference on Security, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. A. P. Felt, K. Greenwood, and D. Wagner. The effectiveness of application permissions. In Proceedings of WebApps'11. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. B. Fu, J. Lin, L. Li, C. Faloutsos, J. Hong, and N. Sadeh. Why people hate your app: Making sense of user feedback in a mobile app store. In Proceedings of KDD '13, pages 1276--1284, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Wikipedia Google Play, 2016. http://en.wikipedia.org/wiki/Google_Play.Google ScholarGoogle Scholar
  21. M. Grace, Y. Zhou, Q. Zhang, S. Zou, and X. Jiang. Riskranker: Scalable and accurate zero-day Android malware detection. In Proceedings of MobiSys'12, pages 281--294, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. M. Harman, A. Al-Subaihin, Y. Jia, W. Martin, F. Sarro, and Y. Zhang. Mobile app and app store analysis, testing and optimisation. In Proceedings of MOBILESoft'16, pages 243--244, 2016. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. A. Holzer and J. Ondrus. Mobile application market: A developer's perspective. Telematics and Informatics, 28(1):22--31, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. A. Karatzoglou, L. Baltrunas, K. Church, and M. Böhmer. Climbing the app wall: Enabling mobile app discovery through context-aware recommendations. In Proceedings of CIKM '12, pages 2527--2530. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. H. Khalid, E. Shihab, M. Nagappan, and A. E. Hassan. What do mobile app users complain about? IEEE Software, 32(3):70--77, 2015.Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. H. Li, W. Ai, X. Liu, J. Tang, G. Huang, F. Feng, and Q. Mei. Voting with their feet: Inferring user preferences from app management activities. In Proceedings of WWW '16, pages 1351--1362. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Y. Li, Y. Guo, and X. Chen. Peruim: Understanding mobile application privacy with permission-ui mapping. In Proceedings of UbiComp '16, pages 682--693. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. J. Lin, S. Amini, J. I. Hong, N. Sadeh, J. Lindqvist, and J. Zhang. Expectation and purpose: Understanding users' mental models of mobile app privacy through crowdsourcing. In Proceedings of UbiComp '12, pages 501--510. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. J. Lin, B. Liu, N. Sadeh, and J. I. Hong. Modeling users mobile app privacy preferences: Restoring usability in a sea of permission settings. In Proceedings of SOUPS '14, pages 199--212.Google ScholarGoogle Scholar
  30. M. Liu, H. Wang, Y. Guo, and J. Hong. Identifying and analyzing the privacy of apps for kids. In Proceedings of the 17th International Workshop on Mobile Computing Systems and Applications (HotMobile '16), pages 105--110, 2016. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Z. Ma, H. Wang, Y. Guo, and X. Chen. Libradar: Fast and accurate detection of third-party libraries in Android apps. In Proceedings of the 38th International Conference on Software Engineering Companion (ICSE '16), pages 653--656, 2016. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. There are 12 million mobile developers worldwide, 2016. http://www.businessofapps.com/12-million-mobile-developers-worldwide-nearly-half-develop-android-first/.Google ScholarGoogle Scholar
  33. Number of available apps in Google Play, 2016. https://www.statista.com/statistics/266210/number-of-available-applications-in-the-google-play-store/.Google ScholarGoogle Scholar
  34. Privacy Grade, 2016. http://privacygrade.org/.Google ScholarGoogle Scholar
  35. V. Rastogi, Y. Chen, and W. Enck. Appsplayground: Automatic security analysis of smartphone applications. In Proceedings of CODASPY '13, pages 209--220, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. F. Sarro, A. A. Al-Subaihin, M. Harman, Y. Jia, W. Martin, and Y. Zhang. Feature lifecycles as they spread, migrate, remain, and die in app stores. In Proceedings of RE'15, pages 76--85.Google ScholarGoogle Scholar
  37. S. Seneviratne, H. Kolamunna, and A. Seneviratne. A measurement study of tracking in paid mobile applications. In Proceedings of WiSec'15, pages 7:1--7:6, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. S. Seneviratne, A. Seneviratne, P. Mohapatra, and A. Mahanti. Your installed apps reveal your gender and more! SIGMOBILE Mob. Comput. Commun. Rev., 18(3):55--61, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. N. Viennot, E. Garcia, and J. Nieh. A measurement study of Google Play. In Proceedings of SIGMETRICS'14, pages 221--233, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. H. Wang, Y. Guo, Z. Ma, and X. Chen. Wukong: A scalable and accurate two-phase approach to Android app clone detection. In Proceedings of ISSTA '15, pages 71--82. Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. H. Wang, Y. Guo, Z. Tang, G. Bai, and X. Chen. Reevaluating Android permission gaps with static and dynamic analysis. In Proceedings of GLOBECOM '15.Google ScholarGoogle Scholar
  42. H. Wang, J. I. Hong, and Y. Guo. Using text mining to infer the purpose of permission use in mobile apps. In Proceedings of UbiComp '15, pages 1107--1118. Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. H. Wang, Z. Wang, Y. Guo, and X. Chen. Detecting repackaged Android applications based on code clone detection technique. In SCIENCE CHINA Information Sciences, volume 44(1), pages 142--157, 2014.Google ScholarGoogle Scholar
  44. Worldwide mobile app revenues in 2015, 2015 and 2020 (in billion U.S. dollars), 2016. https://www.statista.com/statistics/269025/worldwide-mobile-app-revenue-forecast/.Google ScholarGoogle Scholar
  45. Y. Zhang, M. Yang, B. Xu, Z. Yang, G. Gu, P. Ning, X. S. Wang, and B. Zang. Vetting undesirable behaviors in Android apps with permission use analysis. In Proceedings of CCS'13, pages 611--622. Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. N. Zhong and F. Michahelles. Google Play is not a long tail market: An empirical analysis of app adoption on the Google Play app market. In Proceedings of SAC '13, pages 499--504. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. W. Zhou, Y. Zhou, X. Jiang, and P. Ning. Detecting repackaged smartphone applications in third-party Android marketplaces. In Proceedings of CODASPY '12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  48. X. Zhou, S. Demetriou, D. He, M. Naveed, X. Pan, X. Wang, C. A. Gunter, and K. Nahrstedt. Identity, location, disease and more: Inferring your secrets from Android public resources. In Proceedings of CCS '13, pages 1017--1028. Google ScholarGoogle ScholarDigital LibraryDigital Library
  49. Y. Zhou, X. Zhang, X. Jiang, and V. W. Freeh. Taming information-stealing smartphone applications (on Android). In Proceedings of TRUST '11, pages 93--107. Google ScholarGoogle ScholarDigital LibraryDigital Library
  50. H. Zhu, H. Xiong, Y. Ge, and E. Chen. Mobile app recommendations with security and privacy awareness. In Proceedings of KDD'14, pages 951--960. Google ScholarGoogle ScholarDigital LibraryDigital Library
  51. K. Zhu, X. He, B. Xiang, L. Zhang, and A. Pattavina. How dangerous are your smartphones? app usage recommendation with privacy preserving. Mobile Information Systems, 2016:6804379:1--6804379:10, 2016.Google ScholarGoogle ScholarCross RefCross Ref

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                  cover image ACM Other conferences
                  WWW '17: Proceedings of the 26th International Conference on World Wide Web
                  April 2017
                  1678 pages
                  ISBN:9781450349130

                  Copyright © 2017 Copyright is held by the International World Wide Web Conference Committee (IW3C2).

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                  International World Wide Web Conferences Steering Committee

                  Republic and Canton of Geneva, Switzerland

                  Publication History

                  • Published: 3 April 2017

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                  WWW '17 Paper Acceptance Rate164of966submissions,17%Overall Acceptance Rate1,899of8,196submissions,23%

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