@article{(Open Science Index):https://publications.waset.org/pdf/10002865, title = {An Analysis of Genetic Algorithm Based Test Data Compression Using Modified PRL Coding}, author = {K. S. Neelukumari and K. B. Jayanthi}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Computer and Information Engineering}, volume = {9}, number = {8}, year = {2015}, pages = {1988 - 1992}, ee = {https://publications.waset.org/pdf/10002865}, url = {https://publications.waset.org/vol/104}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 104, 2015}, }