Analysis of Intelligent application software testing and evaluation technology

Aiming at the problem of intelligent application software evaluation, this paper analyzes several common defect location technologies: defect location technology based on coverage, defect location technology based on program slice, defect location technology based on model and algorithm evaluation method. Aiming at the deep learning algorithm model based on convolutional neural network commonly used in intelligent application software, the corresponding test method is proposed. This paper compares the advantages of intelligent application software testing with traditional software testing, and discusses the challenges and development direction of intelligent application software testing in the future.