摘要
深入探讨了预测分析与人工智能在软件用例预测领域的应用。首先,概述了软件用例预测的重要性,并分析了预测分析与人工智能技术的发展背景及其在不同行业中的应用情况;其次,提出了一种创新的技术框架——智能预测分析模型,并详细地描述了该框架的构建与实施过程,包括数据收集与处理、模型构建、算法选择和性能评估与优化等关键步骤;然后,通过模拟实验,展示了该智能预测分析框架在预测软件在不同用户群体中的使用频率方面的有效性。实验结果表明,利用该智能预测分析模型框架可以有效地提高软件用例预测的准确性和效率;最后,讨论了在实际应用中面临的挑战和未来发展方向,指出预测分析和人工智能在软件用例预测领域的应用前景和研究价值。
The application of predictive analytics and artificial intelligence in the field of software use case prediction is deeply discussed.Firstly,the importance of software use case prediction is summarized,and the development background of predictive analytics and artificial intelligence technology and their applications in different industries are analyzed.Secondly,an innovative technological framework,namely intelligent predictive analysis model,is proposed,and the construction and implementation process of the framework is described in detail,including key steps such as data collection and processing,model construction,algorithm selection,and performance evaluation and optimization.Then,through simulation experiments,the effectiveness of the intelligent predictive analysis model framework in predicting the frequency of software usage in different user groups is demonstrated.The experimental results show that using the intelligent predictive analysis model framework can effectively improve the accuracy and efficiency of software use case prediction.Finally,the challenges in practical applications and future development directions are discussed,and the application prospect and research value of predictive analytics and artificial intelligence in software use case prediction are pointed out.
作者
姚日煌
李旦
周聪
鹿洵
YAO Rihuang;LI Dan;ZHOU Cong;LU Xun(CEPREI,Guangzhou 511370,China;Shenzhen CEPREI Industry Technology Research Institute Co.,Ltd.,Shenzhen 518055,China;UCSI University,Kuala Lumpur 56000,Malaysia)
出处
《电子质量》
2024年第11期9-14,共6页
Electronics Quality
