%0 Journal Article %A K. S. Neelukumari and K. B. Jayanthi %D 2015 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 104, 2015 %T An Analysis of Genetic Algorithm Based Test Data Compression Using Modified PRL Coding %U https://publications.waset.org/pdf/10002865 %V 104 %X In this paper genetic based test data compression is targeted for improving the compression ratio and for reducing the computation time. The genetic algorithm is based on extended pattern run-length coding. The test set contains a large number of X value that can be effectively exploited to improve the test data compression. In this coding method, a reference pattern is set and its compatibility is checked. For this process, a genetic algorithm is proposed to reduce the computation time of encoding algorithm. This coding technique encodes the 2n compatible pattern or the inversely compatible pattern into a single test data segment or multiple test data segment. The experimental result shows that the compression ratio and computation time is reduced. %P 1988 - 1992