Lightweight source code monitoring with TriGGR

Alim Ozdemir, Hakan Erdogmus, Ayse Tosun, Rui Abreu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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 languageEnglish
Title of host publicationASE 2018 - Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering
EditorsChristian Kastner, Marianne Huchard, Gordon Fraser
PublisherAssociation for Computing Machinery, Inc
Pages864-867
Number of pages4
ISBN (Electronic)9781450359375
DOIs
Publication statusPublished - 3 Sept 2018
Event33rd IEEE/ACM International Conference on Automated Software Engineering, ASE 2018 - Montpellier, France
Duration: 3 Sept 20187 Sept 2018

Publication series

NameASE 2018 - Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering

Conference

Conference33rd IEEE/ACM International Conference on Automated Software Engineering, ASE 2018
Country/TerritoryFrance
CityMontpellier
Period3/09/187/09/18

Bibliographical note

Publisher Copyright:
© 2018 Association for Computing Machinery.

Keywords

  • Code evolution
  • Event-based monitoring
  • Software quality assurance
  • Static analysis

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