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Problem statement: A lot of data can be obtained by system simulation using transaction&#13; level models without affecting the performance of the system. Due to huge amount of the raw data, we&#13; often need to post-process them to extract valuable information. Profiling capabilities of commercial tools&#13; provide predefined functionalities and dont allow users to add or modify for their own purpose.&#13; Approach: This study proposed a general frame study for the automation of post-processing simulation&#13; results using Boolean representation. The proposed frame study consists of Boolean expresser,&#13; manipulator and analyzer. Results: The frame study was illustrated with a case study of deadline miss&#13; detection. Conclusion: The frame study was practical as it provides flexibility, generality and ease of use

A Frame Study for Post-Processing Analysis on System Behavior: A Case Study of Deadline Miss Detection