ASE 2019 (series) / Demonstrations /
PeASS: A Tool for Identifying Performance Changes at Code Level
Wed 13 Nov 2019 17:20 - 17:30 at Hillcrest - Performance Chair(s): Tim Menzies
Thu 14 Nov 2019 10:00 - 10:40 at Kensington Ballroom - Poster Session: Tool Demonstrations 3
Thu 14 Nov 2019 10:00 - 10:40 at Kensington Ballroom - Poster Session: Tool Demonstrations 3
We present PeASS (Performance Analysis of Software System versions), a tool for detecting performance changes at source code level that occur between different code versions. By using PeASS, it is possible to identify performance regressions that happened in the past to fix them.
PeASS measures the performance of unit tests in different source code versions. To achieve statistic rigor, measurements are repeated and analyzed using an agnostic t-test. To execute a minimal amount of tests, PeASS uses a regression test selection.
We evaluate PeASS on a selection of Apache Commons projects and show that 81% of all unit test covered performance changes can be found by PeASS. A video presentation is available at https://www.youtube.com/watch?v=RORFEGSCh6Y and PeASS can be downloaded from https://github.com/DaGeRe/peass.
| Slides of presentation (ASE2019_presentation.pdf) | 272KiB |
Wed 13 NovDisplayed time zone: Tijuana, Baja California change
Wed 13 Nov
Displayed time zone: Tijuana, Baja California change
16:00 - 17:50 | PerformanceResearch Papers / Demonstrations at Hillcrest Chair(s): Tim Menzies North Carolina State University | ||
16:00 20mTalk | Accurate Modeling of Performance Histories for Evolving Software Systems Research Papers Stefan Mühlbauer Bauhaus-University Weimar, Sven Apel Saarland University, Norbert Siegmund Bauhaus-University Weimar Pre-print | ||
16:20 20mTalk | An Industrial Experience Report on Performance-Aware Refactoring on a Database-centric Web Application Research Papers Boyuan Chen York University, Zhen Ming (Jack) Jiang York University, Paul Matos Copywell Inc., Michael Lacaria Copywell Inc. Authorizer link Pre-print | ||
16:40 20mTalk | An Experience Report of Generating Load Tests Using Log-recovered Workloads at Varying Granularities of User Behaviour Research Papers Jinfu Chen Jiangsu University, Weiyi Shang Concordia University, Canada, Ahmed E. Hassan Queen's University, Yong Wang Alibaba Group, Jiangbin Lin Alibaba Group Pre-print | ||
17:00 10mTalk | How Do API Selections Affect the Runtime Performance of Data Analytics Tasks? Research Papers Yida Tao Shenzhen University, Shan Tang Shenzhen University, Yepang Liu Southern University of Science and Technology, Zhiwu Xu Shenzhen University, Shengchao Qin University of Teesside | ||
17:10 10mTalk | Demystifying Application Performance Management Libraries for Android Research Papers Yutian Tang The Hong Kong Polytechnic University, Xian Zhan The Hong Kong Polytechnic University, Hao Zhou The Hong Kong Polytechnic University, Xiapu Luo The Hong Kong Polytechnic University, Zhou Xu Wuhan University, Yajin Zhou Zhejiang University, Qiben Yan Michigan State University | ||
17:20 10mDemonstration | PeASS: A Tool for Identifying Performance Changes at Code Level Demonstrations David Georg Reichelt Universität Leipzig, Stefan Kühne Universität Leipzig, Wilhelm Hasselbring Kiel University Pre-print Media Attached File Attached | ||
17:30 20mTalk | ReduKtor: How We Stopped Worrying About Bugs in Kotlin Compiler Research Papers Daniil Stepanov Saint Petersburg Polytechnic University, Marat Akhin Saint Petersburg Polytechnic University / JetBrains Research, Mikhail Belyaev Saint Petersburg Polytechnic University Pre-print | ||
Thu 14 NovDisplayed time zone: Tijuana, Baja California change
Thu 14 Nov
Displayed time zone: Tijuana, Baja California change
10:00 - 10:40 | |||
10:00 40mDemonstration | PraPR: Practical Program Repair via Bytecode Mutation Demonstrations | ||
10:00 40mDemonstration | Kotless: a Serverless Framework for Kotlin Demonstrations Vladislav Tankov JetBrains, ITMO University, Yaroslav Golubev JetBrains Research, Timofey Bryksin JetBrains Research, Saint-Petersburg State University | ||
10:00 40mDemonstration | PeASS: A Tool for Identifying Performance Changes at Code Level Demonstrations David Georg Reichelt Universität Leipzig, Stefan Kühne Universität Leipzig, Wilhelm Hasselbring Kiel University Pre-print Media Attached File Attached | ||
10:00 40mDemonstration | MutAPK: Source-Codeless Mutant Generation for Android Apps Demonstrations Camilo Escobar-Velásquez Universidad de los Andes, Michael Osorio-Riaño Universidad de los Andes, Mario Linares-Vásquez Systems and Computing Engineering Department , Universidad de los Andes , Bogotá, Colombia | ||
10:00 40mDemonstration | CocoQa: Question Answering for Coding Conventions over Knowledge Graphs Demonstrations Tianjiao Du Shanghai JiaoTong University, Junming Cao Shanghai JiaoTong University, Qinyue Wu Shanghai JiaoTong University, Wei Li Shanghai JiaoTong University, Beijun Shen School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Yuting Chen Shanghai Jiao Tong University | ||
10:00 3mDemonstration | Humanoid: A Deep Learning-based Approach to Automated Black-box Android App Testing Demonstrations Yuanchun Li Peking University, Ziyue Yang Peking University, Yao Guo Peking University, Xiangqun Chen Peking University | ||
10:00 40mDemonstration | Developer Reputation Estimator (DRE) Demonstrations Sadika Amreen University of Tennessee Knoxville, Andrey Karnauch University of Tennessee Knoxville, Audris Mockus University of Tennessee - Knoxville | ||
10:00 40mDemonstration | NeuralVis: Visualizing and Interpreting Deep Learning Models Demonstrations Xufan Zhang State Key Laboratory for Novel Software Technology Nanjing University, Nanjing, China, Ziyue Yin State Key Laboratory for Novel Software Technology Nanjing University, Nanjing, China, Yang Feng University of California, Irvine, Qingkai Shi Hong Kong University of Science and Technology, Jia Liu State Key Laboratory for Novel Software Technology Nanjing University, Nanjing, China, Zhenyu Chen Nanjing University | ||
10:00 40mDemonstration | Visual Analytics for Concurrent Java Executions Demonstrations Cyrille Artho KTH Royal Institute of Technology, Sweden, Monali Pande KTH Royal Institute of Technology, Qiyi Tang University of Oxford | ||
10:00 40mDemonstration | Sip4J: Statically Inferring Access Permission Contracts for Parallelising Sequential Java Programs Demonstrations Ayesha Sadiq Monash University, Li Li Monash University, Australia, Yuan-Fang Li Monash University, Ijaz Ahmed University of Lahore, Sea Ling Monash University | ||
10:00 40mDemonstration | SWAN_ASSIST: Semi-Automated Detection of Code-Specific, Security-Relevant Methods Demonstrations Goran Piskachev Fraunhofer IEM, Lisa Nguyen Quang Do Google, Oshando Johnson Fraunhofer IEM, Eric Bodden Heinz Nixdorf Institut, Paderborn University and Fraunhofer IEM Pre-print Media Attached File Attached | ||
10:00 40mDemonstration | VisFuzz: Understanding and Intervening Fuzzing with Interactive Visualization Demonstrations Chijin Zhou Tsinghua University, Mingzhe Wang Tsinghua University, Jie Liang Tsinghua University, Zhe Liu Nanjing University of Aeronautics and Astronautics, Chengnian Sun Waterloo University, Yu Jiang Tsinghua University | ||