Component-Based Software Testing Method Based on Deep Adversarial Network

With the continuous updating and application of software, current problems in software are becoming more serious. Aiming at this phenomenon, testing methods componentized based on deep adversarial networks discussed. The experiments show that: (1) some has a high fusion rate, reaching an astonishing 95% adaptability. instability greater potential component-based solved through GAN gray evaluation. evaluation system, people dispelled. Trust degree. (2) According to data graph table, learning network solves vulnerability closedness general network, built-in test method with experimental average accuracy rate 90% is best for system. level reaches 7, which makes new industry have long way go.