Blogs (1) >>
ASE 2019
Sun 10 - Fri 15 November 2019 San Diego, California, United States
Tue 12 Nov 2019 17:20 - 17:30 at Cortez 1 - Testing and Visualization Chair(s): Amin Alipour
Thu 14 Nov 2019 10:00 - 10:40 at Kensington Ballroom - Poster Session: Tool Demonstrations 3

Analyzing executions of concurrent software is very difficult. Even if a trace is available, such traces are very hard to read and interpret. A textual trace contains a lot of data, most of which is not relevant to the issue at hand. Past visualization attempts either do not show concurrent behavior, or result in a view that is overwhelming for the user.

We provide a visual analytics tool, VA4JVM, for error traces produced by either the Java Virtual Machine, or by Java Pathfinder. Its key features are a layout that spatially associates events with threads, a zoom function, and the ability to filter event data in various ways. We show in examples how filtering and zooming in can highlight a problem without having to read lengthy textual data.

Tue 12 Nov

Displayed time zone: Tijuana, Baja California change

16:00 - 17:40
Testing and VisualizationDemonstrations / Research Papers / Journal First Presentations at Cortez 1
Chair(s): Amin Alipour University of Houston
16:00
20m
Talk
History-Guided Configuration Diversification for Compiler Test-Program GenerationACM SIGSOFT Distinguished Paper Award
Research Papers
Junjie Chen Tianjin University, Guancheng Wang Peking University, Dan Hao Peking University, Yingfei Xiong Peking University, Hongyu Zhang The University of Newcastle, Lu Zhang Peking University
16:20
20m
Talk
Data-Driven Compiler Testing and Debugging
Research Papers
Junjie Chen Tianjin University
16:40
20m
Talk
Targeted Example Generation for Compilation Errors
Research Papers
Umair Z. Ahmed National University of Singapore, Renuka Sindhgatta Queensland University of Technology, Australia, Nisheeth Srivastava Indian Institute of Technology, Kanpur, Amey Karkare IIT Kanpur
Link to publication Pre-print
17:00
20m
Talk
Lightweight Assessment of Test-Case Effectiveness using Source-Code-Quality Indicators
Journal First Presentations
Giovanni Grano University of Zurich, Fabio Palomba Department of Informatics, University of Zurich, Harald Gall University of Zurich
Link to publication Pre-print
17:20
10m
Demonstration
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
17:30
10m
Demonstration
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

Thu 14 Nov

Displayed time zone: Tijuana, Baja California change

10:00 - 10:40
Poster Session: Tool Demonstrations 3Demonstrations at Kensington Ballroom
10:00
40m
Demonstration
PraPR: Practical Program Repair via Bytecode Mutation
Demonstrations
Ali Ghanbari Iowa State University, Lingming Zhang The University of Texas at Dallas
10:00
40m
Demonstration
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
40m
Demonstration
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
40m
Demonstration
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
40m
Demonstration
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
3m
Demonstration
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
40m
Demonstration
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
40m
Demonstration
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
40m
Demonstration
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
40m
Demonstration
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
40m
Demonstration
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
40m
Demonstration
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