论文标题
使用参数调谐模型估算软件努力
Software Effort Estimation using parameter tuned Models
论文作者
论文摘要
软件估计是软件项目中最重要的活动之一。在软件生命周期的早期阶段需要进行软件工作估算。项目故障是当今正在进行的主要问题，如软件项目经理所见。估计的不精确是造成此问题的原因。软件尺寸的调解也使系统复杂，因此难以准确预测软件开发过程的成本。软件行业最大的陷阱是软件开发的快速变化性质，这使得很难开发参数模型，这些模型可为所有域中的软件开发产生高准确性。我们需要开发有用的模型，以准确预测开发软件产品的成本。这项研究介绍了对各种回归模型的新分析，并进行了高参数调整以获取有效模型。考虑了九种不同的回归技术用于模型开发
Software estimation is one of the most important activities in the software project. The software effort estimation is required in the early stages of software life cycle. Project Failure is the major problem undergoing nowadays as seen by software project managers. The imprecision of the estimation is the reason for this problem. Assize of software size grows, it also makes a system complex, thus difficult to accurately predict the cost of software development process. The greatest pitfall of the software industry was the fast-changing nature of software development which has made it difficult to develop parametric models that yield high accuracy for software development in all domains. We need the development of useful models that accurately predict the cost of developing a software product. This study presents the novel analysis of various regression models with hyperparameter tuning to get the effective model. Nine different regression techniques are considered for model development
