Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile最新文献

Optimizing display energy consumption for hybrid Android apps (invited talk) 优化混合Android应用的显示能耗(邀请演讲)

Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile Pub Date : 2015-08-31 DOI: 10.1145/2804345.2804356

Ding Li, A. Tran, William G. J. Halfond

引用次数: 6

CLAPP: characterizing loops in Android applications (invited talk) CLAPP:描述Android应用程序中的循环(特邀演讲)

Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile Pub Date : 2015-08-31 DOI: 10.1145/2804345.2804355

Y. Fratantonio, Aravind Machiry, Antonio Bianchi, Christopher Krügel, G. Vigna

引用次数: 3

Optimizing energy of HTTP requests in Android applications 优化Android应用中HTTP请求的能量

Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile Pub Date : 2015-08-31 DOI: 10.1145/2804345.2804351

Ding Li, William G. J. Halfond

引用次数: 29

Detecting Android malware using sequences of system calls 使用系统调用序列检测Android恶意软件

Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile Pub Date : 2015-08-31 DOI: 10.1145/2804345.2804349

G. Canfora, Eric Medvet, F. Mercaldo, C. A. Visaggio

{"title":"Detecting Android malware using sequences of system calls","authors":"G. Canfora, Eric Medvet, F. Mercaldo, C. A. Visaggio","doi":"10.1145/2804345.2804349","DOIUrl":"https://doi.org/10.1145/2804345.2804349","url":null,"abstract":"The increasing diffusion of smart devices, along with the dynamism of the mobile applications ecosystem, are boosting the production of malware for the Android platform. So far, many different methods have been developed for detecting Android malware, based on either static or dynamic analysis. The main limitations of existing methods include: low accuracy, proneness to evasion techniques, and weak validation, often limited to emulators or modified kernels. We propose an Android malware detection method, based on sequences of system calls, that overcomes these limitations. The assumption is that malicious behaviors (e.g., sending high premium rate SMS, cyphering data for ransom, botnet capabilities, and so on) are implemented by specific system calls sequences: yet, no apriori knowledge is available about which sequences are associated with which malicious behaviors, in particular in the mobile applications ecosystem where new malware and non-malware applications continuously arise. Hence, we use Machine Learning to automatically learn these associations (a sort of \"fingerprint\" of the malware); then we exploit them to actually detect malware. Experimentation on 20000 execution traces of 2000 applications (1000 of them being malware belonging to different malware families), performed on a real device, shows promising results: we obtain a detection accuracy of 97%. Moreover, we show that the proposed method can cope with the dynamism of the mobile apps ecosystem, since it can detect unknown malware.","PeriodicalId":214193,"journal":{"name":"Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124506714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 139

A mobile application for geographical data gathering and validation in fieldwork (invited talk) 一种用于野外地理数据收集和验证的移动应用程序(特邀演讲)

Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile Pub Date : 2015-08-31 DOI: 10.1145/2804345.2804354

K. Ferreira, L. Vinhas, Claudio Henrique Bogossian, A. F. A. D. Carvalho

引用次数: 3

Tailoring software architecture concepts and process for mobile application development 裁剪移动应用程序开发的软件架构概念和过程

Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile Pub Date : 2015-08-31 DOI: 10.1145/2804345.2804350

Felix Javier Acero Salazar, M. Brambilla

引用次数: 5

AGRippin: a novel search based testing technique for Android applications AGRippin:一种新的基于搜索的Android应用测试技术

Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile Pub Date : 2015-08-31 DOI: 10.1145/2804345.2804348

Domenico Amalfitano, Nicola Amatucci, A. R. Fasolino, Porfirio Tramontana

{"title":"AGRippin: a novel search based testing technique for Android applications","authors":"Domenico Amalfitano, Nicola Amatucci, A. R. Fasolino, Porfirio Tramontana","doi":"10.1145/2804345.2804348","DOIUrl":"https://doi.org/10.1145/2804345.2804348","url":null,"abstract":"Recent studies have shown a remarkable need for testing automation techniques in the context of mobile applications. The main contributions in literature in the field of testing automation regard techniques such as Capture/Replay, Model Based, Model Learning and Random techniques. Unfortunately, only the last two typologies of techniques are applicable if no previous knowledge about the application under testing is available. Random techniques are able to generate effective test suites (in terms of source code coverage) but they need a remarkable effort in terms of machine time and the tests they generate are quite inefficient due to their redundancy. Model Learning techniques generate more efficient test suites but often they do not not reach good levels of coverage. In order to generate test suites that are both effective and efficient, we propose in this paper AGRippin, a novel Search Based Testing technique founded on the combination of genetic and hill climbing techniques. We carried out a case study involving five open source Android applications that has demonstrated how the proposed technique is able to generate test suites that are more effective and efficient than the ones generated by a Model Learning technique.","PeriodicalId":214193,"journal":{"name":"Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121688172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21

Perspectives on static analysis of mobile apps (invited talk) 关于移动应用静态分析的观点(特邀演讲)

Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile Pub Date : 2015-08-31 DOI: 10.1145/2804345.2804352

M. Autili, I. Malavolta, Alexander Perucci, Gian Luca Scoccia

引用次数: 2

App store mining and analysis 应用商店的挖掘和分析

Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile Pub Date : 2015-08-31 DOI: 10.1145/2804345.2804346

A. Al-Subaihin, A. Finkelstein, M. Harman, Yue Jia, William J. Martin, Federica Sarro, Yuanyuan Zhang

{"title":"App store mining and analysis","authors":"A. Al-Subaihin, A. Finkelstein, M. Harman, Yue Jia, William J. Martin, Federica Sarro, Yuanyuan Zhang","doi":"10.1145/2804345.2804346","DOIUrl":"https://doi.org/10.1145/2804345.2804346","url":null,"abstract":"App stores are not merely disrupting traditional software deployment practice, but also offer considerable potential benefit to scientific research. Software engineering researchers have never had available, a more rich, wide and varied source of information about software products. There is some source code availability, supporting scientific investigation as it does with more traditional open source systems. However, what is important and different about app stores, is the other data available. Researchers can access user perceptions, expressed in rating and review data. Information is also available on app popularity (typically expressed as the number or rank of downloads). For more traditional applications, this data would simply be too commercially sensitive for public release. Pricing information is also partially available, though at the time of writing, this is sadly submerging beneath a more opaque layer of in-app purchasing. This talk will review research trends in the nascent field of App Store Analysis, presenting results from the UCL app Analysis Group (UCLappA) and others, and will give some directions for future work.","PeriodicalId":214193,"journal":{"name":"Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124838007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 22

Walking the model: the smart mobile field engineer (keynote) 行走典范:智能移动领域工程师(主题演讲)

Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile Pub Date : 2015-08-31 DOI: 10.1145/2804345.2804347

Y. Dubinsky

引用次数: 0