Paper Title
A Multilevel Compression Technique For Test Data Compression

Embedded systems are constrained by the available memory and band width. Code compression techniques address this issue by reducing the code size of application programs. It is a major challenge to develop an efficient code compression technique that can generate substantial reduction in code size without affecting the overall system performance. We present hybrid and efficient code compression technique that uses multilevel compression using Huffman coding, Bit-masking and Dictionary based compression techniques that significantly improves the compression efficiency without introducing any decompression penalty. Keywords-Compression, Dictionary, Bitmasking, Random forest, Decompression, Compression ratio.