Investigating types and survivability of performance bugs in mobile apps
A recent research showed that mobile apps represent nowadays 75% of the whole usage of mobile devices. This means that the mobile user experience, while tied to many factors (e.g., hardware device, connection speed, etc.), strongly depends on the quality of the apps being used. With “quality” here we do not simply refer to the features offered by the app, but also to its non-functional characteristics, such as security, reliability, and performance. This latter is particularly important considering the limited hardware resources (e.g., memory) mobile apps can exploit. In this paper, we present the largest study at date investigating performance bugs in mobile apps. In particular, we (i) define a taxonomy of the types of performance bugs affecting Android and iOS apps; and (ii) study the survivability of performance bugs (i.e., the number of days between the bug introduction and its fixing). Our findings aim to help researchers and apps developers in building performance-bugs detection tools and focusing their verification and validation activities on the most frequent types of performance bugs.
Tue 10 NovDisplayed time zone: (UTC) Coordinated Universal Time change
17:30 - 18:00 | |||
17:30 2mTalk | Automatically Identifying Performance Issue Reports with Heuristic Linguistic Patterns Research Papers Yutong Zhao Stevens Institute of Technology, USA, Lu Xiao Stevens Institute of Technology, USA, Pouria Babvey Stevens Institute of Technology, USA, Lei Sun Stevens Institute of Technology, USA, Sunny Wong Analytical Graphics, USA, Angel A. Martinez Analytical Graphics, USA, Xiao Wang Stevens Institute of Technology, USA DOI | ||
17:33 1mTalk | Calm Energy Accounting for Multithreaded Java Applications Research Papers Timur Babakol SUNY Binghamton, USA, Anthony Canino University of Pennsylvania, USA, Khaled Mahmoud SUNY Binghamton, USA, Rachit Saxena SUNY Binghamton, USA, Yu David Liu SUNY Binghamton, USA DOI | ||
17:35 1mTalk | Dynamically Reconfiguring Software Microbenchmarks: Reducing Execution Time without Sacrificing Result Quality Research Papers Christoph Laaber University of Zurich, Switzerland, Stefan Würsten University of Zurich, Switzerland, Harald Gall University of Zurich, Switzerland, Philipp Leitner Chalmers University of Technology, Sweden / University of Gothenburg, Sweden DOI Pre-print Media Attached | ||
17:37 1mTalk | Investigating types and survivability of performance bugs in mobile apps Journal First Alejandro Mazuera-Rozo Università della Svizzera italiana & Universidad de los Andes, Catia Trubiani Gran Sasso Science Institute, Mario Linares-Vásquez Universidad de los Andes, Gabriele Bavota USI Lugano, Switzerland | ||
17:39 1mTalk | Testing Self-Adaptive Software with Probabilistic Guarantees on Performance MetricsACM SIGSOFT Distinguished Paper Award Research Papers Claudio Mandrioli Lund University, Sweden, Martina Maggio Saarland University, Germany / Lund University, Sweden DOI Pre-print | ||
17:41 19mTalk | Conversations on Performance / QoS Paper Presentations Alejandro Mazuera-Rozo Università della Svizzera italiana & Universidad de los Andes, Christoph Laaber University of Zurich, Switzerland, Claudio Mandrioli Lund University, Sweden, Timur Babakol SUNY Binghamton, USA, M: Mei Nagappan University of Waterloo | ||