可伸缩和可扩展的Erlang静态分析

Á. Hajdu, Matteo Marescotti, Thibault Suzanne, Ke Mao, Radu Grigore, Per Gustafsson, Dino Distefano
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引用次数: 1

摘要

本文介绍了基于Meta的Infer工具的开源、可扩展、可扩展的Erlang静态分析器。InfERL已经在WhatsApp开发,它被部署来定期扫描WhatsApp服务器的Erlang代码库,检测可靠性问题并检查用户定义的属性。本文描述了我们必须解决的Erlang特定技术挑战和我们的设计选择。我们还报告了我们在Erlang代码上大规模运行InfERL的经验,支持超过20亿人每天使用的消息应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
InfERL: scalable and extensible Erlang static analysis
In this paper we introduce InfERL, an open source, scalable, and extensible static analyzer for Erlang, based on Meta’s Infer tool. InfERL has been developed at WhatsApp and it is deployed to regularly scan WhatsApp server’s Erlang code- base, detecting reliability issues and checking user-defined properties. The paper describes the Erlang specific technical challenges we had to address and our design choices. We also report on our experience in running InfERL on Erlang code at scale, supporting the messaging app used everyday by over 2 billion people.
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