...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Studies in Informatics and Control >Natural Language Processing and Machine Learning Methods for Software Development Effort Estimation
【24h】

Natural Language Processing and Machine Learning Methods for Software Development Effort Estimation

机译：用于软件开发工作量估算的自然语言处理和机器学习方法

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The growing complexity and number of software projects requires both increasingly more experienced developers, testers and other specialists as well as a larger number of persons to fill these roles. This leads to increased personnel and management costs and also makes effort and cost estimation at task and activity levels more difficult for software development companies. An automated solution for software development effort estimation based on text descriptions of tasks and activities, combined with available metrics, is introduced. A real world case study consisting of data from a software company whose activity spans a rich development spectrum is conducted. The results obtained are very encouraging and surpass the few similar approaches available in research literature.
机译：越来越复杂的软件项目和数量越来越多的软件开发人员，测试人员和其他专家，以及越来越多的人来担任这些职位。这导致人员和管理成本增加，并使软件开发公司在任务和活动级别的工作量和成本估算更加困难。介绍了一种基于任务和活动的文本描述以及可用度量的软件开发工作量估算的自动化解决方案。进行了一个由来自软件公司的数据组成的真实案例研究，该公司的活动跨越了广泛的开发范围。获得的结果令人鼓舞，并且超过了研究文献中可用的几种类似方法。

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