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With the rapid development of artificial intelligence,the intelligence level of software is increasingly improving.Intelligent software,which is widely applied in crucial fields such as autonomous driving,intelligent customer service,and medical diagnosis,is constructed based on complex technologies like machine learning and deep learning.Its uncertain behavior and data dependence pose unprecedented challenges to software testing.However,existing software testing courses mainly focus on conventional contents and are unable to meet the requirements of intelligent software testing.Therefore,this work deeply analyzed the relevant technologies of intelligent software testing,including reliability evaluation indicator system,neuron coverage,and test case generation.It also systematically designed an intelligent software testing course,covering teaching objectives,teaching content,teaching methods,and a teaching case.Verified by the practical teaching in four classes,this course has achieved remarkable results,providing practical experience for the reform of software testing courses.
Abstract：With the rapid development of artificial intelligence,the intelligence level of software is increasingly improving.Intelligent software,which is widely applied in crucial fields such as autonomous driving,intelligent customer service,and medical diagnosis,is constructed based on complex technologies like machine learning and deep learning.Its uncertain behavior and data dependence pose unprecedented challenges to software testing.However,existing software testing courses mainly focus on conventional contents and are unable to meet the requirements of intelligent software testing.Therefore,this work deeply analyzed the relevant technologies of intelligent software testing,including reliability evaluation indicator system,neuron coverage,and test case generation.It also systematically designed an intelligent software testing course,covering teaching objectives,teaching content,teaching methods,and a teaching case.Verified by the practical teaching in four classes,this course has achieved remarkable results,providing practical experience for the reform of software testing courses.
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基本信息:
DOI：10.16512/j.cnki.jsjjy.2026.03.028
中图分类号:TP311.53-4;G642
引用信息:
[1]Depeng Gao,Rui Wu,Shihan Xiao,等.Design and Exploration of Intelligent Software Testing Course[J].计算机教育,2026,No.375(03):47-53.DOI:10.16512/j.cnki.jsjjy.2026.03.028.
基金信息:
Computer Basic Education Teaching Research Project of Association of Fundamental Computing Education in Chinese Universities (Nos. 2025-AFCEC-527 and 2024-AFCEC-088); Research on the Reform of Public Course Teaching at Nantong College of Science and Technology (No. 2024JGG015)
2025-10-09
2025
2025-11-03
2025
1
2026-03-09
2026-03-09
