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• W22271383 abstract "Many industrial products are based on the use of embedded computer systems. Usually, these systems have to fulfill real–time requirements, and correct system functionality depends on their logical correctness as well as on their temporal correctness. Therefore, the developed systems have to be thoroughly tested in order to detect existing deficiencies in temporal behavior, as well as to strengthen the confidence in temporal correctness. Existing test methods are not specialized in the examination of temporal correctness. For this reason, new test methods are required which concentrate on determining whether the system violates its specified timing constraints. Normally, a violation means that outputs are produced too early, or their computation takes too long. The task of the tester therefore is to find the input situations with the longest or shortest execution times, in order to check whether they produce a temporal error. It is virtually impossible to find such inputs by analyzing and testing the temporal behavior of complex systems manually. However, if the search for such inputs is interpreted as a problem of optimization, evolutionary computation can be used to find the inputs with the longest or shortest execution times. We have developed and examined a new approach for testing temporal behaviour which is based on the use of evolutionary algorithms, namely evolutionary testing [2]. Our work investigates the effectiveness of Evolutionary Algorithms to validate the temporal correctness of embedded systems by establishing the maximum and minimum execution times. Here we present results from one application field: a motor control system (table 1). It contains several modules which have to fulfill timing constraints. These modules were tested on the target processor later used in the vehicles. The execution times were measured by means of hardware timers. The results of evolutionary testing were compared to the maximum execution times determined by the developers with systematic testing. These values are shown in the column labeled developer test. Table 1: Maximum execution times of motor control software modules determined by evolutionary and systematic testing max. exec. time in µs module name evolutionary testing" @default.
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• W22271383 date "1999-07-13" @default.
• W22271383 modified "2023-09-28" @default.
• W22271383 title "Testing the temporal behavior of real-time software modules using extended evolutionary algorithms" @default.
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