首页> 外文期刊>Journal of Computer Science & Systems Biology >Integration of Requirement Engineering and Artificial Intelligence: AgilePractices and Case Based Reasoning
【24h】

Integration of Requirement Engineering and Artificial Intelligence: AgilePractices and Case Based Reasoning

机译:需求工程与人工智能的集成:敏捷实践和基于案例的推理

获取原文
           

摘要

Guidelines to the Requirement engineering along with the Agile team regarding improvement of Agile practices incorporated with Case based reasoning (CBR). Context: Applying Artificial Intelligence (AI) techniques on Agile practices to software development have acknowledged slight attention until now. Objective: In this research, we present a model which has been introduced for evolution of the Agile Software Development practices by using AI technique. Method: In this research, we have used published reports, articles, and existing case studies. Expert’s review method is used to accomplish the appraisal of this model. Result: This model has been resulted in improving the agile practices by using the concept of CBR. An addition to the SCRUM process it is beneficial to cope with reusability of requirements solutions in an Agile Development environment. Conclusion: The framework provides guidelines to the requirement engineering and also to the agile team regarding improvement of agile practices incorporated with CBR.
机译:与基于案例的推理(CBR)结合的有关敏捷实践改进的需求工程指南以及敏捷团队。背景:迄今为止,将有关敏捷实践的人工智能(AI)技术应用于软件开发已经引起了轻微关注。目的:在这项研究中,我们提出了一个模型,该模型通过使用AI技术为敏捷软件开发实践的发展引入了模型。方法:在这项研究中,我们使用了已发表的报告,文章和现有案例研究。专家的审核方法用于完成此模型的评估。结果:通过使用CBR的概念,该模型已改善了敏捷实践。除了SCRUM流程之外,在敏捷开发环境中应对需求解决方案的可重用性也非常有益。结论:该框架为需求工程以及敏捷团队提供了有关改进与CBR结合的敏捷实践的指南。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号