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Software engineer interested in Rust, computer vision and machine intelligence. He/Him.
Funding Links: https://github.com/sponsors/xd009642
Hi I'm Daniel (also goes by xd009642) an since 2017 I've been working on cargo tarpaulin - a code coverage tool for Rust. I have industry experience in defence, aerospace, augmented reality systems, machine learning and server software in the cloud. My main focus in open source is going to be cargo-tarpaulin but I will also be working on computer vision and machine learning in Rust. Recently I have been writing up about more things I've been doing on my github.io hosted blog: https://xd009642.github.io/
Code coverage, for those that aren't aware, refers to how much of your code is covered by your tests. So you can use it to identify gaps in your tests and for more advanced metrics like MCDC (Modified Condition Decision Coverage) are used as evidence when qualifying high integrity software. Tarpaulin, aims to be the solution for code coverage in Rust and can also indicate misses in coverage that free and commercial tools like Kcov and VectorCAST can't - namely coverage of unused meta functions. It also aims to provide the easiest install and operation with Rust and Cargo projects.
Also, while working on Tarpaulin I've contributed to other Rust crates I depend on, found niche issues in the compiler and generally contributed far and wide. With funding I aim to be the first open source tool with condition coverage and MCDC and the first coverage tool that works on Linux, MacOS and Windows as well as architectures such as x64 and Aarch64.
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