Analyses for specific defects in Android applications: a survey
Tianyong WU, Xi DENG, Jun YAN, Jian ZHANG
Analyses for specific defects in Android applications: a survey
Android applications (APPS) are in widespread use and have enriched our life. To ensure the quality and security of the apps, many approaches have been proposed in recent years for detecting bugs and defects in the apps, of which program analysis is a major one. This paper mainly makes an investigation of existing works on the analysis of Android apps. We summarize the purposes and proposed techniques of existing approaches, and make a taxonomy of these works, based on which we point out the trends and challenges of research in this field. From our survey, we sum up four main findings: (1) program analysis in Android security field has gained particular attention in the past years, the fields of functionality and performance should also gain proper attention; the infrastructure that supports detection of various defects should be enriched to meet the industry’s need; (2) many kinds of defects result from developers’ misunderstanding or misuse of the characteristics and mechanisms in Android system, thus the works that can systematically collect and formalize Android recommendations are in demand; (3) various program analysis approaches with techniques in other fields are applied in analyzing Android apps; however, they can be improved with more precise techniques to be more applicable; (4) The fragmentation and evolution of Android system blocks the usability of existing tools, which should be taken into consideration when developing new approaches.
Android apps / program analysis / security / functionality / performance
[1] |
Zhou Y, Jiang X. Dissecting Android malware: characterization and evolution. In: Proceedings of the 2012 IEEE Symposium on Security and Privacy. 2012, 95–109
CrossRef
Google scholar
|
[2] |
McDonnell T, Ray B, Kim M. An empirical study of API stability and adoption in the Android ecosystem. In: Proceedings of the 2013 IEEE International Conference on Software Maintenance. 2013, 70–79
CrossRef
Google scholar
|
[3] |
Mirzaei N, Bagheri H, Mahmood R, Malek S. SIG-Droid: automated system input generation for Android applications. In: Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering. 2015, 461–471
CrossRef
Google scholar
|
[4] |
Kim J, Yoon Y, Yi K, Shin J. SCANDAL: static analyzer for detecting privacy leaks in Android applications. Mobile Security Technologies, 2012, 12: 110
|
[5] |
Arzt S, Rasthofer S, Fritz C, Bodden E, Bartel A, Klein J, Traon Y L, Octeau D, McDaniel P. FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps. In: Proceedings of the 2014 ACM SIGPLAN Conference on Programming Language Design and Implementation. 2014, 259–269
CrossRef
Google scholar
|
[6] |
Jin X, Hu X, Ying K, Du W, Yin H, Peri G N. Code injection attacks on HTML5-based mobile apps: characterization, detection and mitigation. In: Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security. 2014, 66–77
CrossRef
Google scholar
|
[7] |
Enck W, Gilbert P, Chun B, Cox L P, Jung J, McDaniel P, Sheth A. TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones. In: Proceedings of the 9th USENIX Symposium on Operating Systems Design and Implementation. 2010, 393–407
|
[8] |
Li D, Hao S, Halfond W G J, Govindan R. Calculating source line level energy information for Android applications. In: Proceedings of the 2013 International Symposium on Software Testing and Analysis. 2013, 78–89
CrossRef
Google scholar
|
[9] |
Xu G H, Mitchell N, Arnold M, Rountev A, Schonberg E, Sevitsky G. Scalable runtime bloat detection using abstract dynamic slicing. ACM Transactions on Software Engineering Methodology, 2014, 23(3): 23
CrossRef
Google scholar
|
[10] |
Azim T, Neamtiu I. 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, and Applications. 2013, 641–660
CrossRef
Google scholar
|
[11] |
Mirzaei N, Garcia J, Bagheri H, Sadeghi A, Malek S. Reducing combinatorics in GUI testing of Android applications. In: Proceedings of the 38th International Conference on Software Engineering. 2016, 559–570
CrossRef
Google scholar
|
[12] |
Octeau D, Jha S, McDaniel P. Retargeting Android applications to Java bytecode. In: Proceedings of the 20th ACM SIGSOFT Symposium on the Foundations of Software Engineering. 2012, 6
CrossRef
Google scholar
|
[13] |
Yang S, Zhang H, Wu H, Wang Y, Yan D, Rountev A. Static window transition graphs for Android. In: Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering. 2015, 658–668
CrossRef
Google scholar
|
[14] |
Yang S, Yan D, Wu H, Wang Y, Rountev A. Static control-flow analysis of user-driven callbacks in Android applications. In: Proceedings of the 37th IEEE/ACM International Conference on Software Engineering. 2015, 89–99
CrossRef
Google scholar
|
[15] |
Cao Y, Fratantonio Y, Bianchi A, Egele M, Kruegel C, Vigna G, Chen Y. EdgeMiner: automatically detecting implicit control flow transitions through the Android framework. In: Proceedings of the 22nd Annual Network and Distributed System Security Symposium. 2015
CrossRef
Google scholar
|
[16] |
Octeau D, McDaniel P, Jha S, Bartel A, Bodden E, Klein J, Traon Y L. Effective inter-component communication mapping in Android: an essential step towards holistic security analysis. In: Proceedings of the 22nd USENIX Security Symposium. 2013, 543–558
|
[17] |
Octeau D, Luchaup D, Dering M, Jha S, McDaniel P. Composite constant propagation: application to Android inter-component communication analysis. In: Proceedings of the 37th IEEE/ACM International Conference on Software Engineering. 2015, 77–88
CrossRef
Google scholar
|
[18] |
Octeau D, Luchaup D, Jha S, McDaniel P D. Composite constant propagation and its application to android program analysis. IEEE Transactions on Software Engineering, 2016, 42(11): 999–1014
CrossRef
Google scholar
|
[19] |
Octeau D, Jha S, Dering M, McDaniel P D, Bartel A, Li L, Klein J, Traon Y L. Combining static analysis with probabilistic models to enable market-scale Android inter-component analysis. In: Proceedings of the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages. 2016, 469–484
CrossRef
Google scholar
|
[20] |
Wei X, Gomez L, Neamtiu I, Faloutsos M. ProfileDroid: multi-layer profiling of Android applications. In: Proceedings of the 18th Annual International Conference onMobile Computing and Networking. 2012, 137–148
CrossRef
Google scholar
|
[21] |
Fratantonio Y, Machiry A, Bianchi A, Kruegel C, Vigna G. CLAPP: characterizing loops in Android applications. In: Proceedings of the 10th Joint Meeting on Foundations of Software Engineering. 2015, 687–697
CrossRef
Google scholar
|
[22] |
Li D, Lyu Y, Wan M, Halfond W G J. String analysis for Java and Android applications. In: Proceedings of the 10th Joint Meeting on Foundations of Software Engineering. 2015, 661–672
CrossRef
Google scholar
|
[23] |
Huang J, Li Z, Xiao X, Wu Z, Lu K, Zhang X, Jiang G. SUPOR: precise and scalable sensitive user input detection for Android apps. In: Proceedings of the 24th USENIX Security Symposium. 2015, 977–992
|
[24] |
Nan Y, Yang M, Yang Z, Zhou S, Gu G, Wang X. UIPicker: userinput privacy identification in mobile applications. In: Proceedings of the 24th USENIX Security Symposium. 2015, 993–1008
|
[25] |
Rasthofer S, Arzt S, Bodden E. A machine-learning approach for classifying and categorizing Android sources and sinks. In: Proceedings of the 21st Annual Network and Distributed System Security Symposium. 2014
CrossRef
Google scholar
|
[26] |
Wei F, Roy S, Ou X, Robby. Amandroid: a precise and general intercomponent data flow analysis framework for security vetting of Android apps. In: Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security. 2014, 1329–1341
|
[27] |
Li L, Bartel A, Bissyandé T F, Klein J, Traon Y L, Arzt S, Rasthofer S, Bodden E, Octeau D, McDaniel P. IccTA: detecting intercomponent privacy leaks in Android apps. In: Proceedings of the 37th IEEE/ACMInternational Conference on Software Engineering. 2015, 280–291
|
[28] |
Gordon M I, Kim D, Perkins J H, Gilham L, Nguyen N, Rinard M C. Information flow analysis of Android applications in droidsafe. In: Proceedings of the 22nd Annual Network and Distributed System Security Symposium. 2015
CrossRef
Google scholar
|
[29] |
Huang W, Dong Y, Milanova A, Dolby J. Scalable and precise taint analysis for Android. In: Proceedings of the 2015 International Symposium on Software Testing and Analysis. 2015, 106–117
CrossRef
Google scholar
|
[30] |
Lee S, Dolby J, Ryu S. HybriDroid: static analysis framework for Android hybrid applications. In: Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering. 2016, 250–261
CrossRef
Google scholar
|
[31] |
Hornyack P, Han S, Jung J, Schechter S E, Wetherall D. These aren’t the droids you’re looking for: retrofitting Android to protect data from imperious applications. In: Proceedings of the 18th ACM Conference on Computer and Communications Security. 2011, 639–652
CrossRef
Google scholar
|
[32] |
Zhang Y, Yang M, Xu B, Yang Z, Gu G, Ning P, Wang X S, Zang B. Vetting undesirable behaviors in Android apps with permissionuse analysis. In: Proceedings of 2013 ACM SIGSAC Conference on Computer and Communications Security. 2013, 611–622
|
[33] |
Yan L, Yin H. DroidScope: seamlessly reconstructing the OS and dalvik semantic views for dynamic Android malware analysis. In: Proceedings of the 21st USENIX Security Symposium. 2012, 569–584
|
[34] |
Sun M, Wei T, Lui J. TaintART: a practical multi-level informationflow tracking system for Android runtime. In: Proceedings of 2016 ACM SIGSAC Conference on Computer and Communications Security. 2016, 331–342
CrossRef
Google scholar
|
[35] |
You W, Liang B, Shi W, Zhu S, Wang P, Xie S, Zhang X. Reference hijacking: patching, protecting and analyzing on unmodified and non-rooted Android devices. In: Proceedings of the 38th International Conference on Software Engineering. 2016, 959–970
CrossRef
Google scholar
|
[36] |
Feng Y, Anand S, Dillig I, Aiken A. Apposcopy: semantics-based detection of Android malware through static analysis. In: Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering. 2014, 576–587
CrossRef
Google scholar
|
[37] |
Avdiienko V, Kuznetsov K, Gorla A, Zeller A, Arzt S, Rasthofer S, Bodden E. Mining apps for abnormal usage of sensitive data. In: Proceedings of the 37th IEEE/ACM International Conference on Software Engineering. 2015, 426–436
CrossRef
Google scholar
|
[38] |
Wu S, Wang P, Li X, Zhang Y. Effective detection of Android malware based on the usage of data flow APIs and machine learning. Information and Software Technology, 2016, 75:17–25
CrossRef
Google scholar
|
[39] |
Yang W, Xiao X, Andow B, Li S, Xie T, Enck W. AppContext: differentiating malicious and benign mobile app behaviors using context. In: Proceedings of the 37th IEEE/ACM International Conference on Software Engineering. 2015, 303–313
CrossRef
Google scholar
|
[40] |
Fan M, Liu J, Luo X, Chen K, Chen T, Tian Z, Zhang X, Zheng Q, Liu T. Frequent subgraph based familial classification of android malware. In: Proceedings of the IEEE International Symposium on Software Reliability Engineering. 2016, 24–35
CrossRef
Google scholar
|
[41] |
Xu H, Zhou Y, Gao C, Kang Y, Lyu M R. SpyAware: investigating the privacy leakage signatures in app execution traces. In: Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering. 2015, 348–358
CrossRef
Google scholar
|
[42] |
Huang J, Zhang X, Tan L, Wang P, Liang B. AsDroid: detecting stealthy behaviors in Android applications by user interface and program behavior contradiction. In: Proceedings of the 36th International Conference on Software Engineering. 2014, 1036–1046
CrossRef
Google scholar
|
[43] |
Slavin R, Wang X, Hosseini M B, Hester J, Krishnan R, Bhatia J, Breaux T D, Niu J. Toward a framework for detecting privacy policy violations in Android application code. In: Proceedings of the 38th International Conference on Software Engineering. 2016, 25–36
CrossRef
Google scholar
|
[44] |
Felt A P, Chin E, Hanna S, Song D, Wagner D. Android permissions demystified. In: Proceedings of the 18th ACM Conference on Computer and Communications Security. 2011, 627–638
CrossRef
Google scholar
|
[45] |
Bartel A, Klein J, Monperrus M, Traon Y L. Static analysis for extracting permission checks of a large scale framework: the challenges and solutions for analyzing Android. IEEE Transactions on Software Engineering, 2014, 40(6): 617–632
CrossRef
Google scholar
|
[46] |
Pandita R, Xiao X, Yang W, Enck W, Xie T. WHYPER: towards automating risk assessment of mobile applications. In: Proceedings of the 22nd USENIX Security Symposium. 2013, 527–542
|
[47] |
Qu Z, Rastogi V, Zhang X, Chen Y, Zhu T, Chen Z. AutoCog: measuring the description-to-permission fidelity in Android applications. In: Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security. 2014, 1354–1365
CrossRef
Google scholar
|
[48] |
Xu W, Zhang F, Zhu S. Permlyzer: analyzing permission usage in Android applications. In: Proceedings of the 24th IEEE International Symposium on Software Reliability Engineering. 2013, 400–410
CrossRef
Google scholar
|
[49] |
Felt A P, Wang H J, Moshchuk A, Hanna S, Chin E. Permission re-delegation: attacks and defenses. In: Proceedings of the 20th USENIX Security Symposium. 2011
|
[50] |
Bagheri H, Sadeghi A, Garcia J, Malek S. COVERT: compositional analysis of Android inter-app permission leakage. IEEE Transactions on Software Engineering, 2015, 41(9): 866–886
CrossRef
Google scholar
|
[51] |
Grace M C, Zhou Y, Wang Z, Jiang X. Systematic detection of capability leaks in stock Android smartphones. In: Proceedings of the 19th Annual Network and Distributed System Security Symposium. 2012
|
[52] |
Lu L, Li Z, Wu Z, Lee W, Jiang G. CHEX: statically vetting Android apps for component hijacking vulnerabilities. In: Proceedings of the 2012 ACM Conference on Computer and Communications Security. 2012, 229–240
CrossRef
Google scholar
|
[53] |
Zhang M, Yin H. AppSealer: automatic generation of vulnerabilityspecific patches for preventing component hijacking attacks in Android applications. In: Proceedings of the 21st Annual Network and Distributed System Security Symposium. 2014
CrossRef
Google scholar
|
[54] |
Shao Y, Ott J, Jia Y J, Qian Z, Mao Z M. The misuse of Android unix domain sockets and security implications. In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security. 2016, 80–91
CrossRef
Google scholar
|
[55] |
Chin E, Felt A P, Greenwood K, Wagner D. Analyzing interapplication communication in Android. In: Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services. 2011, 239–252
|
[56] |
Hay R, Tripp O, Pistoia M. Dynamic detection of inter-application communication vulnerabilities in Android. In: Proceedings of the 2015 International Symposium on Software Testing and Analysis. 2015, 118–128
CrossRef
Google scholar
|
[57] |
Gibler C, Stevens R, Crussell J, Chen H, Zang H, Choi H. AdRob: examining the landscape and impact of Android application plagiarism. In: Proceedings of the 11th Annual International Conference on Mobile Systems, Applications, and Services. 2013, 431–444
|
[58] |
Chen K, Liu P, Zhang Y. Achieving accuracy and scalability simultaneously in detecting application clones on Android markets. In: Proceedings of the 36th International Conference on Software Engineering. 2014, 175–186
CrossRef
Google scholar
|
[59] |
Wang H, Guo Y, Ma Z, Chen X. WuKong: a scalable and accurate two-phase approach to Android app clone detection. In: Proceedings of the 2015 International Symposium on Software Testing and Analysis. 2015, 71–82
CrossRef
Google scholar
|
[60] |
Yuan Y, Guo Y. Boreas: an accurate and scalable token-based approach to code clone detection. In: Proceedings of the IEEE/ACM International Conference on Automated Software Engineering. 2012, 286–289
CrossRef
Google scholar
|
[61] |
Gui J, McIlroy S, Nagappan M, Halfond W G J. Truth in advertising: the hidden cost of mobile ads for software developers. In: Proceedings of the 37th IEEE/ACM International Conference on Software Engineering. 2015, 100–110
CrossRef
Google scholar
|
[62] |
Crussell J, Stevens R, Chen H. Madfraud: investigating ad fraud in Android applications. In: Proceedings of the 12th Annual International Conference on Mobile Systems, Applications, and Services. 2014, 123–134
CrossRef
Google scholar
|
[63] |
Poeplau S, Fratantonio Y, Bianchi A, Kruegel C, Vigna G. Execute this! analyzing unsafe and malicious dynamic code loading in Android applications. In: Proceedings of the 21st Annual Network and Distributed System Security Symposium. 2014
CrossRef
Google scholar
|
[64] |
Machiry A, Tahiliani R, Naik M. Dynodroid: an input generation system for Android apps. In: Proceedings of the 9th Joint Meeting on Foundations of Software Engineering. 2013, 224–234
CrossRef
Google scholar
|
[65] |
Hao S, Liu B, Nath S, Halfond W G J, Govindan R. 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. 2014, 204–217
CrossRef
Google scholar
|
[66] |
Choi W, Necula G C, Sen K. 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 and Applications. 2013, 623–640
CrossRef
Google scholar
|
[67] |
Anand S, Naik M, Harrold M J, Yang H. Automated concolic testing of smartphone apps. In: Proceedings of the 20th ACM SIGSOFT Symposium on the Foundations of Software Engineering. 2012, 59
CrossRef
Google scholar
|
[68] |
Baek Y M, Bae D. Automated model-based Android GUI testing using multi-level GUI comparison criteria. In: Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering. 2016, 238–249
CrossRef
Google scholar
|
[69] |
Pasareanu C S, Visser W, Bushnell D H, Geldenhuys J, Mehlitz P C, Rungta N. Symbolic pathfinder: integrating symbolic execution with model checking for Java bytecode analysis. Automated Software Engineering, 2013, 20(3): 391–425
CrossRef
Google scholar
|
[70] |
Visser W, Pasareanu C S, Khurshid S. Test input generation with Java PathFinder. In: Proceedings of the ACM/SIGSOFT International Symposium on Software Testing and Analysis. 2004, 97–107
CrossRef
Google scholar
|
[71] |
Jensen C S, Prasad M R, Møller A. Automated testing with targeted event sequence generation. In: Proceedings of the 2013 International Symposium on Software Testing and Analysis. 2013, 67–77
CrossRef
Google scholar
|
[72] |
Mahmood R, Mirzaei N, Malek S. EvoDroid: segmented evolutionary testing of Android apps. In: Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering. 2014, 599–609
CrossRef
Google scholar
|
[73] |
Mao K, Harman M, Jia Y. Sapienz: multi-objective automated testing for Android applications. In: Proceedings of the 25th International Symposium on Software Testing and Analysis. 2016, 94–105
CrossRef
Google scholar
|
[74] |
Harman M, Mansouri A, Zhang Y. Search based software engineering: trends, techniques and applications. ACM Computing Surveys, 2012, 45(1): 11
|
[75] |
Liang C M, Lane N D, Brouwers N, Zhang L, Karlsson B, Liu H, Liu Y, Tang J, Shan X, Chandra R, Zhao F. Caiipa: automated largescale mobile app testing through contextual fuzzing. In: Proceedings of the 20th Annual International Conference on Mobile Computing and Networking. 2014, 519–530
CrossRef
Google scholar
|
[76] |
Payet É, Spoto F. Static analysis of Android programs. Information and Software Technology, 2012, 54(11): 1192–1201
CrossRef
Google scholar
|
[77] |
Cousot P, Cousot R. Abstract interpretation: a unified lattice model for static analysis of programs by construction or approximation of fixpoints. In: Proceedings of the 4th Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages. 1977, 238–252
CrossRef
Google scholar
|
[78] |
Maiya P, Kanade A, Majumdar R. Race detection for Android applications. In: Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation. 2014, 316–325
CrossRef
Google scholar
|
[79] |
Bielik P, Raychev V, Vechev M T. Scalable race detection for Android applications. In: Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications. 2015, 332–348
CrossRef
Google scholar
|
[80] |
Hsiao C, Pereira C, Yu J, Pokam G, Narayanasamy S, Chen P M, Kong Z, Flinn J. Race detection for event-driven mobile applications. In: Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation. 2014, 326–336
CrossRef
Google scholar
|
[81] |
Hu Y, Neamtiu I, Alavi A. Automatically verifying and reproducing event-based races in Android apps. In: Proceedings of the 25th International Symposium on Software Testing and Analysis. 2016, 377–388
CrossRef
Google scholar
|
[82] |
Shan Z, Azim T, Neamtiu I. 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. 2016, 864–880
CrossRef
Google scholar
|
[83] |
Wei L, Liu Y, Cheung S. Taming Android fragmentation: characterizing and detecting compatibility issues for Android apps. In: Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering. 2016, 226–237
CrossRef
Google scholar
|
[84] |
Liu Y, Xu C, Cheung S. Characterizing and detecting performance bugs for smartphone applications. In: Proceedings of the 36th International Conference on Software Engineering. 2014, 1013–1024
CrossRef
Google scholar
|
[85] |
Kang Y, Zhou Y, Gao M, Sun Y, Lyu M R. Experience report: detecting poor-responsive UI in android applications. In: Proceedings of the IEEE International Symposium on Software Reliability Engineering. 2016, 490–501
CrossRef
Google scholar
|
[86] |
Kang Y, Zhou Y, Xu H, Lyu M R. DiagDroid: Android performance diagnosis via anatomizing asynchronous executions. In: Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering. 2016, 410–421
CrossRef
Google scholar
|
[87] |
Lin Y, Okur S, Dig D. Study and refactoring of Android asynchronous programming. In: Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering. 2015, 224–235
CrossRef
Google scholar
|
[88] |
Lin Y, Radoi C, Dig D. Retrofitting concurrency for Android applications through refactoring. In: Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering. 2014, 341–352
CrossRef
Google scholar
|
[89] |
Zhang Y, Huang G, Liu X, Zhang W, Mei H, Yang S. Refactoring Android Java code for on-demand computation offloading. In: Proceedings of the 27th Annual ACM SIGPLAN Conference on Object- Oriented Programming, Systems, Languages, and Applications. 2012, 233–248
CrossRef
Google scholar
|
[90] |
Yan D, Yang S, Rountev A. Systematic testing for resource leaks in Android applications. In: Proceedings of the 24th IEEE International Symposium on Software Reliability Engineering. 2013, 411–420
CrossRef
Google scholar
|
[91] |
Guo C, Zhang J, Yan J, Zhang Z, Zhang Y. Characterizing and detecting resource leaks in Android applications. In: Proceedings of the 28th IEEE/ACM International Conference on Automated Software Engineering. 2013, 389–398
CrossRef
Google scholar
|
[92] |
Wu T, Liu J, Xu Z, Guo C, Zhang Y, Yan J, Zhang J. Lightweight, inter-procedural and callback-aware resource leak detection for Android apps. IEEE Transactions on Software Engineering, 2016, 42(11): 1054–1076
CrossRef
Google scholar
|
[93] |
Liu J, Wu T, Yan J, Zhang J. Fixing resource leaks in Android apps with light-weight static analysis and low-overhead instrumentation. In: Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering. 2016, 342–352
CrossRef
Google scholar
|
[94] |
Banerjee A, Chong L K, Chattopadhyay S, Roychoudhury A. Detecting energy bugs and hotspots in mobile apps. In: Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering. 2014, 588–598
CrossRef
Google scholar
|
[95] |
Pathak A, Jindal A, Hu Y C, Midkiff S P. What is keeping my phone awake?: characterizing and detecting no-sleep energy bugs in smartphone apps. In: Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services. 2012, 267–280
CrossRef
Google scholar
|
[96] |
Liu Y, Xu C, Cheung S, Terragni V. Understanding and detecting wake lock misuses for Android applications. In: Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering. 2016, 396–409
CrossRef
Google scholar
|
[97] |
Liu Y, Xu C, Cheung S, Lu J. Greendroid: automated diagnosis of energy inefficiency for smartphone applications. IEEE Transactions on Software Engineering, 2014, 40(9): 911–940
CrossRef
Google scholar
|
[98] |
Hao S, Li D, Halfond W G J, Govindan R. Estimating mobile application energy consumption using program analysis. In: Proceedings of the 35th International Conference on Software Engineering. 2013, 92–101
CrossRef
Google scholar
|
[99] |
Li D, Lyu Y, Gui J, Halfond W G J. Automated energy optimization of HTTP requests for mobile applications. In: Proceedings of the 38th International Conference on Software Engineering. 2016, 249–260
CrossRef
Google scholar
|
[100] |
Yang Z, Yang M, Zhang Y, Gu G, Ning P, Wang X S. AppIntent: analyzing sensitive data transmission in Android for privacy leakage detection. In: Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security. 2013, 1043–1054
CrossRef
Google scholar
|
[101] |
Haris M, Haddadi H, Hui P. Privacy leakage in mobile computing: tools, methods, and characteristics. 2014, arXiv preprint arXiv:1410.4978
|
[102] |
Choudhary S R, Gorla A, Orso A. Automated test input generation for Android: are we there yet? In: Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering. 2015, 429–440
CrossRef
Google scholar
|
[103] |
Martin W, Sarro F, Jia Y, Zhang Y, Harman M. A survey of app store analysis for software engineering. IEEE Transactions on Software Engineering, 2017, 43(9): 817–847
CrossRef
Google scholar
|
[104] |
Sufatrio, Tan D J J, Chua T, Thing V L L. Securing Android: a survey, taxonomy, and challenges. ACMComputing Surveys, 2015, 47(4): 58
|
[105] |
Li L, Bissyandé T F, Papadakis M, Rasthofer S, Bartel A, Octeau D, Klein J, Traon Y L. Static analysis of Android apps: a systematic literature review. Information and Software Technology, 2017, 88: 67–95
CrossRef
Google scholar
|
[106] |
Sadeghi A, Bagheri H, Garcia J, Malek S. A taxonomy and qualitative comparison of program analysis techniques for security assessment of android software. IEEE Transactions on Software Engineering, 2017, 43(6): 492–530
CrossRef
Google scholar
|
/
〈 | 〉 |