Software testing is a crucial part of software development. It enables quality assurance, such as correctness, completeness and high reliability of the software systems. We have built a Kalman filter-based genetic algorithm for solving the problem of test case generation in software testing. The method uses a Kalman filter to reduce the effect of the stochastic behaviour of GAs when estimating the appropriate parameter values to use in each iteration of the optimisation process.