Currently the Computer Aided Prototyping System software development environment provides monitoring techniques for real-time tasking execution times. However, these techniques are constrained in that there is only a provision for simple error messages to be presented upon execution failure such as that caused by a missed deadline. This approach necessitates that the software system designer haphazardly guess a task set execution time. This thesis performed an examination of fine grain execution timing. This work was accomplished through the development of a program to perform true dynamic run time data collection of the typical task set execution exhibited within a real- time environment. The results of this work is an accurate and efficient real- time task set execution monitoring software program which assists in overcoming the problem of task set execution run time prediction. The program itself has been embedded within the Computer Aided Prototyping System environment and is an enhancement over the previous monitoring technique by providing the system designer with true and accurate run time execution times. The validation of the thesis work has been performed by successful design and development of time critical real-time prototype software within the Computer Aided Programming System usn the execution monitoring program.