Abstract
Existing tools for monitoring the quality of codebases modified by multiple developers tend to be centralized and inflexible. These tools increase the visibility of quality by producing effective reports and visualizations when a change is made to the codebase and triggering alerts when undesirable situations occur. However, their configuration is invariably both (a) centrally managed in that individual maintainers cannot define local rules to receive customized feedback when a change occurs in a specific part of the code in which they are particularly interested, and (b) coarse-grained in that analyses cannot be turned on and off below the file level. Triggr, the tool proposed in this paper, addresses these limitations by allowing distributed, customized, and fine-grained monitoring. It is a lightweight re-implementation of our previous tool, CodeAware, which adopts the same paradigm. The tool listens on a codebase's shared repository using an event-based approach, and can send alerts to subscribed developers based on rules defined locally by them. Triggr is open-source and available at https://github.com/lyzerk/Triggr. A demonstration video can be found at https://youtu.be/qQs9aDwXJjY.
Original language | English |
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Title of host publication | ASE 2018 - Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering |
Editors | Christian Kastner, Marianne Huchard, Gordon Fraser |
Publisher | Association for Computing Machinery, Inc |
Pages | 864-867 |
Number of pages | 4 |
ISBN (Electronic) | 9781450359375 |
DOIs | |
Publication status | Published - 3 Sept 2018 |
Event | 33rd IEEE/ACM International Conference on Automated Software Engineering, ASE 2018 - Montpellier, France Duration: 3 Sept 2018 → 7 Sept 2018 |
Publication series
Name | ASE 2018 - Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering |
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Conference
Conference | 33rd IEEE/ACM International Conference on Automated Software Engineering, ASE 2018 |
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Country/Territory | France |
City | Montpellier |
Period | 3/09/18 → 7/09/18 |
Bibliographical note
Publisher Copyright:© 2018 Association for Computing Machinery.
Keywords
- Code evolution
- Event-based monitoring
- Software quality assurance
- Static analysis