Optimization Design of Loop Structure Assembler for Testing Based on Complexity Analysis

Abstract

The program optimization design, based on the complexity analysis, is an effective way to realize the design object of the testing system for equipment, which includes its safety, reliability, portably, fastness etc. Take the loop structure assembler for testing as an example, debug software is run for debugging executable files generated from source programs with different algorithms respectively, and elements such as the memory allocation of machine code, the length of the machine code of programs with different algorithms and execution process of machine codes of different formal instructions with the same function are analyzed. The running time of executable files is also estimated when clock frequency and the average running speed of machine code per byte are determined. After the algorithm and instruction is optimized based on the space and time complexity analysis, the program optimization design is completed. The method of optimization design applied to testing programming provides reference for other software modules in testing system, as well as the overall improvement for use efficiency of the testing system software and memory space saving to reduce the number of memory boards.