👉 Runtime research, also known as dynamic or adaptive runtime analysis, is a method used in software engineering to evaluate and optimize the performance of a program as it executes, rather than relying solely on static analysis performed before execution. This approach involves monitoring various aspects of the program's behavior, such as memory usage, CPU load, and execution time, during runtime to gather real-time data. By analyzing this data, developers can identify bottlenecks, inefficiencies, or unexpected behaviors that may not be apparent through traditional testing methods. Runtime research enables more accurate performance tuning and optimization, leading to improved application responsiveness and resource utilization. Techniques like profiling, tracing, and adaptive algorithms are commonly employed in runtime research to provide insights that guide developers in making informed decisions about code optimization.
