@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},
	}