A Framework for the Automatic Execution of Measurement-based Experiments on Android DevicesWorkshop
Conducting measurement-based experiments is fundamental for assessing the quality of Android apps in terms of, e.g., energy consumption, CPU, and memory usage. However, orchestrating such experiments is not trivial as it requires large boilerplate code, careful setup of measurement tools, and the adoption of various empirical best practices scattered across the literature. All together, those factors are slowing down the scientific advancement and harming experiments’ replicability in the mobile software engineering area. In this paper we present Android Runner (AR), a framework for automatically executing measurement-based experiments on native and web apps running on Android devices. In AR, an experiment is defined once in a descriptive fashion, and then its execution is fully automatic, customizable, and replicable. AR is implemented in Python and it can be extended with third-party profilers. AR has been used in more than 25 scientific studies primarily targeting performance and energy efficiency.
Mon 21 Sep Times are displayed in time zone: (UTC) Coordinated Universal Time
08:00 - 11:20: International Workshop on Advances in Mobile App Analysis[Workshop] A-Mobile at Koala | |||
08:00 - 08:10 Day opening | A-Mobile - Welcome and OpeningWorkshop [Workshop] A-Mobile O: Xiao ChenMonash University, O: Guozhu MengInstitute of Information Engineering, Chinese Academy of Sciences, Jacques KleinUniversity of Luxembourg, Luxembourg, Sam MalekUniversity of California at Irvine, USA | ||
08:10 - 09:10 Keynote | Mobile App Testing and Analysis: Getting There in Industrial CasesWorkshop [Workshop] A-Mobile Tao XiePeking University, USA | ||
09:10 - 09:40 Talk | Invited Talk: Smart Development of Mobile Apps with Deep Learning Workshop [Workshop] A-Mobile Chunyang ChenMonash University, Australia | ||
09:40 - 10:00 Talk | A Framework for the Automatic Execution of Measurement-based Experiments on Android DevicesWorkshop [Workshop] A-Mobile Ivano MalavoltaVrije Universiteit Amsterdam, Eoin GruaVrije Universiteit Amsterdam, Cheng-Yu Lam, Randy de Vries, Franky Tan, Eric Zielinski, Michael Peters, Luuk Kaandorp Pre-print | ||
10:00 - 10:20 Talk | Ecosystem Evolution Analysis and Trend Prediction of Projects in Android Application FrameworkWorkshop [Workshop] A-Mobile | ||
10:20 - 10:40 Talk | KnowledgeZooClient: Constructing Knowledge Graph for AndroidWorkshop [Workshop] A-Mobile Li LiMonash University, Australia, Jun GaoUniversity of Luxembourg, Luxembourg, Pingfan KongInterdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Haoyu WangBeijing University of Posts and Telecommunications, China, Mengyu HuangMonash University, Yuan-Fang LiMonash University, Tegawendé F. BissyandéUniversity of Luxembourg, Luxembourg | ||
10:40 - 11:00 Talk | Market-level Analysis of Government-backed COVID-19 Contact Tracing AppsWorkshop [Workshop] A-Mobile Huiyi WangBeijing University of Posts and Telecommunications, Liu WangBeijing University of Posts and Telecommunications, Haoyu WangBeijing University of Posts and Telecommunications, China | ||
11:00 - 11:20 Talk | Enforcing Green Code with Android LintWorkshop [Workshop] A-Mobile Olivier Le GoaerLIUPPA, Université de Pau et des Pays de l'Adour DOI Pre-print Media Attached |