Talk: 16:20-17:05 (English)
Detecting Oxbow Code in Erlang Codebases with the Highest Degree of Certainty
Meet Hank: The Erlang Code Cleaner
Learn how to clean up your large Erlang projects by detecting and removing code that’s no longer needed with the highest level of confidence using Hank, an open-source plugin for rebar3.
The presence of source code that is no longer needed is a handicap to project maintainability. The larger and longer-lived the project, the higher the chances of accumulating dead code in its different forms.
Manually detecting unused code is time-consuming, tedious, error-prone, and requires a great level of deep knowledge about the codebase. In this talk, we examine the kinds of dead code (specifically, oxbow code) that can appear in Erlang projects, and formulate rules to identify them with high accuracy.
We also present an open-source static analyzer that implements these rules, allowing for the automatic detection and confident removal of oxbow code in Erlang codebases, actively contributing to increasing their quality and maintainability.
The talk is based on this paper.
Laura M Castro
Professor and lead researcher @ University of A Coruña
Brujo
Erlang programmer, ex-Tech Lead, community manager, blogger, event organizer, ping-pong aficionado, and long-distance walker on my spare time.
- Slides
- castro-brujo.pdf
