facebook/infer
Nov 2025 – Feb 2026
2 Months active
Languages Used
OCaml
Technical Skills
code quality assuranceregexsoftware testingstatic analysissoftware verificationtheorem proving
Jules Villard
PROFILE
Jules Villard
During a two-month period, Jean-Vincent Villard contributed to the facebook/infer repository by developing advanced static analysis features in OCaml. He built an Issue Reachability Reporting system that leverages regex-driven cross-procedural analysis to trace how issues propagate through entry points and API surfaces, enhancing root-cause diagnosis and debugging. Villard also introduced a UNTER-based infinite loop checker, automating proof rules to improve detection fidelity and reduce false positives. His work emphasized code quality assurance, software verification, and theorem proving, resulting in deeper analytics and more reliable reporting. These contributions improved the depth and precision of Infer’s static analysis capabilities.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,256
Activity Months2
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered UNTER-based infinite loop detection enhancement in Infer by introducing the --pulse-eternal option (v0.α). The feature strengthens loop-state implication checks (end-of-loop implies start-of-loop) and automates core proof rules, improving detection fidelity and reducing false positives. This work included enabling tests to exercise the new checker and laying groundwork for future automations and cleanup. PR 1995 merged with code review by ngorogiannis; differential revision D92266720; integration by davidpichardie.
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered UNTER-based infinite loop detection enhancement in Infer by introducing the --pulse-eternal option (v0.α). The feature strengthens loop-state implication checks (end-of-loop implies start-of-loop) and automates core proof rules, improving detection fidelity and reducing false positives. This work included enabling tests to exercise the new checker and laying groundwork for future automations and cleanup. PR 1995 merged with code review by ngorogiannis; differential revision D92266720; integration by davidpichardie.
February 2026
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 – Focused on enhancing issue traceability and cross-procedural analysis in the Infer project. Delivered the Issue Reachability Reporting feature, enabling reporting of issues reachable from specified procedures via a regex, improving root-cause analysis across entry points and API surfaces. Introduced the --pulse-report-issues-reachable-from option, updated reporting to re-emit issues when reachability matches, and extended the JSON output with an extra field signaling reachability events. Refactored v2 ABORT handling by replacing InfiniteLoop with AbortProgram to simplify error semantics and improve consistency with reachability reporting. Result: earlier detection of propagation paths, better debugging, and measurable improvement in issue tracking across critical entry points.
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 – Focused on enhancing issue traceability and cross-procedural analysis in the Infer project. Delivered the Issue Reachability Reporting feature, enabling reporting of issues reachable from specified procedures via a regex, improving root-cause analysis across entry points and API surfaces. Introduced the --pulse-report-issues-reachable-from option, updated reporting to re-emit issues when reachability matches, and extended the JSON output with an extra field signaling reachability events. Refactored v2 ABORT handling by replacing InfiniteLoop with AbortProgram to simplify error semantics and improve consistency with reachability reporting. Result: earlier detection of propagation paths, better debugging, and measurable improvement in issue tracking across critical entry points.
Activity
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Quality Metrics
Correctness80.0%
Maintainability70.0%
Architecture80.0%
Performance70.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
OCaml
Technical Skills
code quality assuranceregexsoftware testingsoftware verificationstatic analysistheorem proving
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