Abstract
For real-time programs reproducing a bug by rerunning the system is likely to fail, making fault localization a time-consuming process. Omniscient debugging is a technique that stores each run in such a way that it supports going backwards in time. However, the overhead of existing omniscient debugging implementations for languages like Java is so large that it cannot be effectively used in practice. In this paper, we show that for agent-oriented programming practical omniscient debugging is possible. We design a tracing mechanism for efficiently storing and exploring agent program runs. We are the first to demonstrate that this mechanism does not affect program runs by empirically establishing that the same tests succeed or fail. Usability is supported by a trace visualization method aimed at more effectively locating faults in agent programs.
Original language | English |
---|---|
Title of host publication | Proceedings of the 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 |
Editors | Carles Sierra |
Pages | 265-272 |
Number of pages | 8 |
ISBN (Electronic) | 978-0-9992411-0-3 |
DOIs | |
Publication status | Published - 2017 |
Event | IJCAI 2017: 26th International Joint Conference on Artificial Intelligence - Melbourne, Australia Duration: 19 Aug 2017 → 25 Aug 2017 Conference number: 26 http://ijcai-17.org/ |
Conference
Conference | IJCAI 2017 |
---|---|
Abbreviated title | IJCAI 2017 |
Country/Territory | Australia |
City | Melbourne |
Period | 19/08/17 → 25/08/17 |
Internet address |
Keywords
- Agent-based and Multi-agent Systems
- Multidisciplinary Topics and Applications