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Tue 10 Nov 2020 17:39 - 17:40 at Virtual room 1 - Performance / QoS

This paper discusses the problem of testing the performance of the adaptation layer in a self-adaptive system. The problem is notoriously hard, due to the high degree of uncertainty and variability inherent in an adaptive software application. In particular, providing any type of formal guarantee for this problem is extremely difficult. In this paper we propose the use of a rigorous probabilistic approach to overcome the mentioned difficulties and provide probabilistic guarantees on the software performance. We describe the set up needed for the application of a probabilistic approach. We then discuss the traditional tools from statistics that could be applied to analyse the results, highlighting their limitations and motivating why they are unsuitable for the given problem. We propose the use of a novel tool – \emph{the scenario theory} – to overcome said limitations. We conclude the paper with a thorough empirical evaluation of the proposed approach, using two adaptive software applications: the Tele-Assistance Service and the Self-Adaptive Video Encoder. With the first, we empirically expose the trade-off between data collection and confidence in the testing campaign. With the second, we demonstrate how to compare different adaptation strategies.

Tue 10 Nov

Displayed time zone: (UTC) Coordinated Universal Time change

17:30 - 18:00
17:30
2m
Talk
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
1m
Talk
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
1m
Talk
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
1m
Talk
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
1m
Talk
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
19m
Talk
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