emscripten-core/emscripten
Jun 2025 – Jun 2025
1 Month active
Languages Used
CC++
Technical Skills
Code CoverageCompiler DevelopmentLLVMProfile Guided Optimization (PGO)Runtime Libraries
arsnyder16
PROFILE
Arsnyder16
Alex Snyder developed code coverage mapping support for the emscripten-core/emscripten repository, focusing on integrating LLVM’s compiler-rt profiling library to enable detailed source-based coverage analysis. By implementing new C and C++ sources, Alex facilitated the collection and management of profile data, allowing for actionable insights into code execution. The work enabled the use of -fprofile-instr-generate and -fcoverage-mapping flags, providing a foundation for data-driven testing and performance optimization across the toolchain. This feature addressed the need for robust code coverage in emscripten, demonstrating depth in compiler development, code coverage instrumentation, and runtime library integration within a complex build environment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
7,424
Activity Months1
Your Network
101 peopleWork History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered Code Coverage Mapping Support for emscripten by integrating the LLVM compiler-rt profiling library. Implemented source-based code coverage with new C/C++ sources to collect and manage profile data, and enabled -fprofile-instr-generate and -fcoverage-mapping for detailed coverage analysis. This establishes an actionable, data-driven basis for testing and performance optimization across the toolchain.
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered Code Coverage Mapping Support for emscripten by integrating the LLVM compiler-rt profiling library. Implemented source-based code coverage with new C/C++ sources to collect and manage profile data, and enabled -fprofile-instr-generate and -fcoverage-mapping for detailed coverage analysis. This establishes an actionable, data-driven basis for testing and performance optimization across the toolchain.
June 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++
Technical Skills
Code CoverageCompiler DevelopmentLLVMProfile Guided Optimization (PGO)Runtime Libraries
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