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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
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17:30 - 18:00: Performance / QoSPaper Presentations / Research Papers / Journal First at Virtual room 1
17:30 - 17:32
Automatically Identifying Performance Issue Reports with Heuristic Linguistic Patterns
Research Papers
Yutong ZhaoStevens Institute of Technology, USA, Lu XiaoStevens Institute of Technology, USA, Pouria BabveyStevens Institute of Technology, USA, Lei SunStevens Institute of Technology, USA, Sunny WongAnalytical Graphics, USA, Angel A. MartinezAnalytical Graphics, USA, Xiao WangStevens Institute of Technology, USA
17:33 - 17:34
Calm Energy Accounting for Multithreaded Java Applications
Research Papers
Timur BabakolSUNY Binghamton, USA, Anthony CaninoUniversity of Pennsylvania, USA, Khaled MahmoudSUNY Binghamton, USA, Rachit SaxenaSUNY Binghamton, USA, Yu David LiuSUNY Binghamton, USA
17:35 - 17:36
Dynamically Reconfiguring Software Microbenchmarks: Reducing Execution Time without Sacrificing Result Quality
Research Papers
Christoph LaaberUniversity of Zurich, Switzerland, Stefan WürstenUniversity of Zurich, Switzerland, Harald GallUniversity of Zurich, Switzerland, Philipp LeitnerChalmers University of Technology, Sweden / University of Gothenburg, Sweden
DOI Pre-print Media Attached
17:37 - 17:38
Investigating types and survivability of performance bugs in mobile apps
Journal First
Alejandro Mazuera RozoUniversità della Svizzera italiana & Universidad de los Andes, Catia TrubianiGran Sasso Science Institute, Mario Linares-VásquezUniversidad de los Andes, Gabriele BavotaUSI Lugano, Switzerland
17:39 - 17:40
Testing Self-Adaptive Software with Probabilistic Guarantees on Performance MetricsACM SIGSOFT Distinguished Paper Award
Research Papers
Claudio MandrioliLund University, Sweden, Martina MaggioSaarland University, Germany / Lund University, Sweden
DOI Pre-print
17:41 - 18:00
Conversations on Performance / QoS
Paper Presentations
Alejandro Mazuera RozoUniversità della Svizzera italiana & Universidad de los Andes, Christoph LaaberUniversity of Zurich, Switzerland, Claudio MandrioliLund University, Sweden, Timur BabakolSUNY Binghamton, USA, M: Mei NagappanUniversity of Waterloo