摘要
为了提高软件开发的产品质量和整体效率,阐述了传统软件项目管理难度大、测试成本投入不足以及测试可信度不够高等问题,引入人工智能(AI)技术,改善传统测试模式存在的局限性。提出测试设计阶段、测试执行阶段、测试结果分析阶段等测试流程,给出AI技术在预测缺陷、自动化测试、测试过程优化中的应用,有力推动软件测试行业的转型升级,为软件开发企业实现测试资源的有效配置,从而达到降本增效,确保软件产品在快速迭代升级的同时保持卓越的品质和用户满意度。
In order to improve the product quality and overall efficiency of software development,the difficulties of traditional software project management,insufficient investment in testing costs,and low reliability of testing were explained.Artificial intelligence(AI)technology was introduced to improve the limitations of traditional testing modes.The testing design phase,testing execution phase and testing result analysis phase were proposed,and the application of AI technology in predicting defects,automated testing,and optimizing the testing process was presented.This effectively promotes the transformation and upgrading of the software testing industry,enables effective allocation of testing resources for software development enterprises,and achieves cost reduction and efficiency improvement,ensuring that software products maintain excellent quality and user satisfaction while rapidly iterating and upgrading.
出处
《信息技术与标准化》
2024年第11期92-96,共5页
Information Technology & Standardization
关键词
软件测试
AI
技术
降本增效
software testing
AI technology
cost reduction and efficiency increase