Icpc2012 israel
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This document analyzes code reuse in Android apps from the Google Play store. It finds: 1) There is high global reuse, with 50-80% of apps sharing 30% or more of classes and 5-19% having almost identical class sets. 2) Pairwise reuse between apps in the same category averages 40-60% shared classes. Some categories like Weather had 21 out of 554 identical apps. 3) While frameworks are widely reused, there is also diversity with unique classes comprising 40-53% of an average app depending on category.
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Android is an open-source, Linux-based operating system for mobile devices like smartphones and tablets. It is developed by Google and the Open Handset Alliance. Android allows developers to access device capabilities to build rich applications. It has the largest installed base of any mobile platform and over 600,000 apps available as of 2012. While some competitors struggle, Android continues growing with over 400 million devices activated as of mid-2012.
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1. The document discusses an approach for assisting developers in deploying big data analytics applications on Hadoop clouds by analyzing execution logs and sequences.
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Icse2011 thomas poster
Mining software repositories with topic models can help understand developer intentions encoded in source code and discussions about code design contained in email archives. Topic models are used to structure and analyze unstructured data from code comments, identifiers, emails, and bug reports. This allows practitioners to monitor code at a higher conceptual level and recover links between source code and related emails.
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This document presents the thesis work on systematic log mining to support the development of ultra-large scale systems. There are five key findings from prior log mining research: 1) Little focus on logs in source code; 2) Little use of logs from development; 3) Ad hoc log transformation; 4) Lack of scalability; 5) Limited use for software development activities. The thesis proposes two parts: 1) Study challenges of understanding and evolving logs; 2) Approaches using logs to support development like testing and deployment verification. Evaluation shows logs help address real inquiries, evolve over time, correlate with defects, and can verify big data application deployment with high precision.
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Using AndRadar we are able to achieve three goals. First, we can discover malicious applications in alternative markets, second, we can expose app distribution strategies used by malware developers, and third, we can moni- tor how different markets react to new malware. During a three-month eval- uation period, AndRadar tracked over 20,000 apps and recorded more than 1,500 app deletions in 16 markets. Nearly 8% of those deletions were related to apps that were hopping from market to market. The most established markets were able to react and delete new malware within tens of days from the malicious app publication date while other markets did not react at all.
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App Stores - Analytics and Trends
This document discusses app store analytics and trends. It provides an overview of app store economics including the size and growth of the app economy. It then analyzes the Sudoku games subcategory using Priori Data's analytics tools, examining trends, size, growth, market structure, and top players in different countries for this subcategory. The document invites participants to join a beta program for Priori Data's subcategory tracking tools and includes appendices on fast growing consumer trends in app stores globally and for Sweden.
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Icpc2012 israel
- 1. Understanding Reuse in the Android Market Israel J. Mojica Ruiz, Meiyappan Nagappan, Ahmed E. Hassan Bram Adams
- 2. 2 August 28th, 2008 Android Market is announced (today Google Play). A few months later…
- 3. 3
- 4. 4 SOFTWARE REUSE 0 100 200 300 400 500 2009 2010 2011 2012 ThousandsExponential Growth in the Number of Apps in the Android Market Year
- 5. Comparing Two Classes 5 Davies, J.; German, D.M.; Godfrey, M.W.; Hindle, A.; , “Software bertillonage: finding the provenance of an entity,” - MSR ’11 Source Code CCFinde r NICAD SimScan Bytecod e Bertillonage Signatures
- 6. 6 4,323 app 501 apps 554 apps 1,034 apps 1,115 apps 1,119 apps Apps Collected in the Android Market
- 7. 7 Total Classes: 59,208 52,425 88,156 250,063 84,205 3000 2500 2000 1500 1000 500 0 Range of Android Apps Size Android Apps size dispersio n Numberofclasses Category An App
- 8. Understanding Reuse in the Android Market 8 Global ReuseDiversity of Classes Pair Wise Reuse Global Reuse Pair Wise Reuse
- 9. How Much Diversity in a Category? 9 OneCategory App 1 App 2 App 3 10= B , = 4 Reused Classes = 60% A , C, D BA C D AA D B C B Classes { } Unique Classes = 40%
- 10. 10 80 70 60 50 40 30 20 10 0 PercentageofClassesReused HIGH Code Reuse Category 53 % 71 % 59 % 54 % 68 %
- 11. 11 Top 10 Organizations Providing Classes
- 12. Understanding Reuse in the Android Market 12 Global ReuseDiversity of Classes Global Reuse Pair Wise ReuseDiversity of Classes High Code Reuse
- 13. Global Reuse of Classes 13 OneCategory App 1 App 2 App 3 global (App 1) = A B C D A E F A D E F G 5 3 4 3 5 = 0.6 0 global (App 2) = 3 3 = 1.0 0 global (App 3) = 3 4 = 0.7
- 14. High Global Reuse 14 1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 Global Reuse PercentageofAppsforeachCategory 100 80 60 40 20 0
- 15. High Global Reuse 15 PercentageofAppsforeachCategory 100 80 60 40 20 0 1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 Global Reuse Between 50%-80% of apps have at least 30% of classes in common Between 5%-19% of apps have almost identical set of classes in common Mockus, A.; , “Large-Scale Code Reuse in Open Source Software,” Emerging Trends in FLOSS Research and Development, 2007. FLOSS ’07. First International Workshop on , vol., no., pp.7, 20-26 May 2007.
- 16. Understanding Reuse in the Android Market 16 Global ReuseGlobal Reuse Pair Wise ReuseDiversity of Classes High Code Reuse High Global Reuse Pair Wise Reuse
- 17. Pair Wise Reuse 17 OneCategory App 1 App 2 local (App 1, App 2) A B C D A E F 2 5 = = 0.4 0 local (App 2, App 1) 2 3 = = 0.6 7 local (App 3, App 2) 2 4 = = 0.5 App 3 A D F GE
- 18. Weather: 21 out of 554 apps were identical 18
- 19. 19
- 20. Social: 57 out of 1,119 apps were identical 20
- 21. Reuse of framework 21 Developer ADeveloper C Developer B Developer D
- 22. Understanding Reuse in the Android Market 22 Global Reuse Pair Wise ReuseDiversity of Classes High Code Reuse High Global Reuse Pair Wise Reuse Some Identical Apps
- 23. SUMMARY 23 Understanding Reuse in the Android Market