Software Defects Prediction Based on Hybrid Beetle Antennae Search Algorithm and Artificial Bee Colony Algorithm with Comparison

Software defects are problems in software that destroy normal operation ability and reflect the quality of software. fault can be predicted by reliability model. In this paper, hybrid algorithm is applied to parameter estimation defect prediction. As a biological heuristic algorithm, BAS (Beetle Antennae Search Algorithm) has fast convergence speed easy implement. ABC (Artificial Bee Colony better optimization strong robustness. BAS-ABC proposed mixing two algorithms goal method improve stability algorithm. Five datasets were used carry out experiments, data results showed was more accurate than single with stronger stability, so it suitable for Meanwhile, paper implemented comparison between + PSO SSA, result shows performance both stability. The prediction ABC.