コードをプロファイリングすると、開発者はプログラムの実行時間を分析し、パフォーマンスを最適化するためのボトルネックを特定可能
英語で読み続ける:
Code profiling is a diagnostic technique employed to analyze the runtime behavior of an application. It dissects resource consumption, usually including CPU time, memory allocation, and function call frequency, to precisely identify performance bottlenecks and resource hogs. Armed with these insights, developers can optimize specific code sections, leading to improved user experience, resource efficiency, and ultimately, a more robust and performant application.
Several IDEs support code profiling, including:
- PrimalScript by SAPIEN Technologies is a universal script environment that offers a script profiler for memory and CPU usage, and for function coverage.
- IntelliJ IDEA by JetBrains provides a rich Java profiler, which visualizes CPU and memory usage, as well as tools for thread activity and hot spots.
- EiffelStudio by Eiffel Software has a built-in profiler for Eiffel code which you can set to run on either the whole program or specific clusters.
- Microsoft Visual Studio Enterprise comes with a Performance Profiler that includes a variety of advanced profiling tools, such as for CPU, memory, and GPU usage, to accumulate performance data.
For an in-depth analysis of features and price, visit our IDEs comparison.