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By exploiting program modes, we may make worst-case execution time (WCET) analysis more precise. Then, for each feasible mode, we show how to calculate its WCET estimate for modern reduced instruction set computer (RISC) processors with caches and pipelines and for traditional complex instruction set computer (CISC) processors.During component-based and object-oriented software development, software classes exhibit relationships that complicate integration, including method calls, inheritance and aggregation. Although the test method is not 100% automated, it represents a fresh approach to automated testing. This problem is generally called the class integration and test order (CITO) problem, and solutions must fully be automated for integration and testing to proceed smoothly and efficiently. When messages are sent, objects that receive them should respond as intended. This paper presents a novel method to automatically find program modes and calculate the WCET estimates of programs. It follows accepted theoretical procedures while operating directly on OO software specifications. This paper presents additional details about the tool itself, including how test sequences are generated, how several difficult problems were solved and the introduction of new capabilities to help automate the transformation of test specifications into executable test cases. A finite state machines model of inter-operating OO classes was presented in a previous paper. New results include improved edge weights to more precisely model the cost of stubbing, and the use of node weights, which allows more information to be used.A program mode is a regular trajectory of the execution