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 |
Conference DayWed 13 NovDisplayed time zone: Tijuana, Baja California change
Conference Day
Wed 13 NovDisplayed time zone: Tijuana, Baja California change
Conference DayThu 14 NovDisplayed time zone: Tijuana, Baja California change
Conference Day
Thu 14 NovDisplayed 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 TankovJetBrains, ITMO University, Yaroslav GolubevJetBrains Research, Timofey BryksinJetBrains Research, Saint-Petersburg State University | ||
10:00 40mDemonstration | PeASS: A Tool for Identifying Performance Changes at Code Level Demonstrations David Georg ReicheltUniversität Leipzig, Stefan KühneUniversität Leipzig, Wilhelm HasselbringKiel University Pre-print Media Attached File Attached | ||
10:00 40mDemonstration | MutAPK: Source-Codeless Mutant Generation for Android Apps Demonstrations Camilo Escobar-VelásquezUniversidad de los Andes, Michael Osorio-RiañoUniversidad de los Andes, Mario Linares-VásquezSystems and Computing Engineering Department , Universidad de los Andes , Bogotá, Colombia | ||
10:00 40mDemonstration | CocoQa: Question Answering for Coding Conventions over Knowledge Graphs Demonstrations Tianjiao DuShanghai JiaoTong University, Junming CaoShanghai JiaoTong University, Qinyue WuShanghai JiaoTong University, Wei LiShanghai JiaoTong University, Beijun ShenSchool of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Yuting ChenShanghai Jiao Tong University | ||
10:00 3mDemonstration | Humanoid: A Deep Learning-based Approach to Automated Black-box Android App Testing Demonstrations Yuanchun LiPeking University, Ziyue YangPeking University, Yao GuoPeking University, Xiangqun ChenPeking University | ||
10:00 40mDemonstration | Developer Reputation Estimator (DRE) Demonstrations Sadika AmreenUniversity of Tennessee Knoxville, Andrey KarnauchUniversity of Tennessee Knoxville, Audris MockusUniversity of Tennessee - Knoxville | ||
10:00 40mDemonstration | NeuralVis: Visualizing and Interpreting Deep Learning Models Demonstrations Xufan ZhangState Key Laboratory for Novel Software Technology Nanjing University, Nanjing, China, Ziyue YinState Key Laboratory for Novel Software Technology Nanjing University, Nanjing, China, Yang FengUniversity of California, Irvine, Qingkai ShiHong Kong University of Science and Technology, Jia LiuState Key Laboratory for Novel Software Technology Nanjing University, Nanjing, China, Zhenyu ChenNanjing University | ||
10:00 40mDemonstration | Visual Analytics for Concurrent Java Executions Demonstrations Cyrille ArthoKTH Royal Institute of Technology, Sweden, Monali PandeKTH Royal Institute of Technology, Qiyi TangUniversity of Oxford | ||
10:00 40mDemonstration | Sip4J: Statically Inferring Access Permission Contracts for Parallelising Sequential Java Programs Demonstrations Ayesha SadiqMonash University, Li LiMonash University, Australia, Yuan-Fang LiMonash University, Ijaz AhmedUniversity of Lahore, Sea LingMonash University | ||
10:00 40mDemonstration | SWAN_ASSIST: Semi-Automated Detection of Code-Specific, Security-Relevant Methods Demonstrations Goran PiskachevFraunhofer IEM, Lisa Nguyen Quang DoGoogle, Oshando JohnsonFraunhofer IEM, Eric BoddenHeinz 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 ZhouTsinghua University, Mingzhe WangTsinghua University, Jie LiangTsinghua University, Zhe LiuNanjing University of Aeronautics and Astronautics, Chengnian SunWaterloo University, Yu JiangTsinghua University | ||