基于XP的学生作业管理系统实践研究

极限编程是敏捷软件开发的重要方法。极限编程提出的沟通、简单、反馈、勇气、尊重五点价值观及其使用的简单设计、重构、小型发布、成对编程等方法对中小型软件系统开发有重要的指导意义。通过极限编程在学生作业管理系统开发中的实践应用,探索中小型软件的敏捷开发方法。     

极限编程在管理信息系统的应用及改进

极限编程是敏捷的和基于1实践的软件开发方法。文章分析了极限编程的核心理念、特点和实践原则,针对极限编程的不足,并结合RUP和其它敏捷方法,提出了适应于管理信息系统的开发方法——MISXP,并成功进行了实践。     

极限编程在高职计算机专业毕业设计中的应用

敏捷方式是近几年兴起的一种轻量级的开发方法。在所有敏捷方法中,XP——极限编程可以说是最鲜艳,最引人注目的一面旗帜,它是一种敏捷、高效、柔性、可预测、科学而充满乐趣的软件开发方法。通过介绍极限编程中的三个实践,阐明了在学生毕业设计中引入极限编程思想的意义,探讨了如何应用极限编程有效地进行毕业设计。     

极限编程在项目实践教学中的应用探索

极限编程是一种轻量级的软件开发方法。该文在介绍极限编程主要特点的基础上,探讨了在计算机项目实践教学中引入极限编程方法的必要性,以及如何在计算机项目实践教学中有效地应用极限编程方法。     

试谈测试驱动开发理论与实践

极限编程是一种新型软件开发方法,而测试驱动开发是极限编程思想的一种主要实践。本文通过极限编程、测试驱动的理论阐述和用NUnit进行单元测试的实践来阐明测试驱动开发的实施过程。     

极限编程在计算机本科毕业设计中的应用

极限编程是敏捷的和基于实践的软件开发方法学。本文将极限编程引入计算机专业本科毕业设计中,并探讨了在毕业设计中引入极限编程的意义,以及如何应用极限编程有效地进行毕业设计。     

极限编程在计算机本科毕业设计中的应用

极限编程是敏捷的和基于实践的软件开发方法学。本文将极限编程引入计算机专业本科毕业设计中,并探讨了在毕业设计中引入极限编程的意义,以及如何应用极限编程有效地进行毕业设计。     

极限编程的质量保证分析

极限编程是敏捷软件开发方法的代表,在敏捷的同时能否保证最终软件产品的高质量成为我们所关心的问题。通过讨论质量管理的一般过程、对比极限编程相比其它软件过程的特点,从外部过程的控制和内部代码两个角度分析了极限编程控制软件产品质量的方法。分析结果表明,极限编程能够保证一定的软件质量。     

极限编程在计算机本科毕业设计中的应用

极限编程是敏捷的和基于实践的软件开发方法学。本文将极限编程引入计算机专业本科毕业设计中。并探讨了在毕业设计中引入极限编程的意义，以及如何应用极限编程有效地进行毕业设计。     

极限编程在工控软件开发中的应用

极限编程是一种新近提出的轻量级软件工程方法，它的高效和实用很快就吸引了大批软件人员的关注。本文对极限编程的概念和模式进行了概要介绍．同时结合国内工控软件开发的特点．试图将极限编程的概念引入到国内的工控软件领域。     

Memory Partitioning in the Limit

International Journal of Parallel Programming - The key difficulties in designing memory hierarchies for future computing systems with extreme scale parallelism include (1) overcoming the design...     

敏捷开发-XP在管理信息系统中实践与研究

极限编程XP（cXtreme Programming）是敏捷开发的代表,是一个混乱而有序的、基于头践的软件开发方法。通过介绍极限编程的特点及其在某信息管理系统中的应用,探讨研究了极限编程在中小型需求易变的信息管理系统开发项目的实际运用和实践总结。     

Schlanke Produktionsweisen in der modernen Softwareentwicklung

This paper shows that Extreme Programming (XP) is rooted in the principles of Lean Production. XP drastically slims down the development process, but adds extreme customer orientation and extreme ways of quality assurance to the process. The fact that XP and other agile methods in modern software development are based on lean principles explains why agile methods can produce high-quality software in a cost-effective way. The paper also contains a discussion of problems that come up when using XP in practice, and raises important questions about lean methods in software development; for example, whether lean methods scale to large software projects and large software organizations. When trying to answer such questions, software engineering could draw from experience with lean production and lean development in other fields.     

Evolving robust GP solutions for hedge fund stock selection in emerging markets

Stock selection for hedge fund portfolios is a challenging problem for Genetic Programming (GP) because the markets (the environment in which the GP solution must survive) are dynamic, unpredictable and unforgiving. How can GP be improved so that solutions are produced that are robust to non-trivial changes in the environment? We explore two new approaches. The first approach uses subsets of extreme environments during training and the second approach uses a voting committee of GP individuals with differing phenotypic behaviour.     

A model of job satisfaction for collaborative development processes

Modern software development relies on collaborative work as a means for sharing knowledge, distributing tasks and responsibilities, reducing risk of failures, and increasing the overall quality of the software product. Such objectives are achieved with a continuous share of the programmers’ daily working life that inevitably influences the programmers’ job satisfaction. One of the major challenges in process management is to determine the causes of this satisfaction. Traditional research models job satisfaction with social aspects of collaborative work like communication, work sustainability, and work environment.This study reflects on existing models of job satisfaction in collaborative environments, creates one for modern software development processes, and validates it with a retrospective comparative survey run on a sample of 108 respondents. In addition, the work investigates the impact on job satisfaction and its model of the agile practice of Pair Programming that pushes job sharing to the extreme. With this intent, the questionnaire also collected feedback from pair programmers whose responses were used for a comparative analysis. The results demonstrate that Pair Programming has actually a strong positive effect on satisfaction, work sustainability, and communication.     

Liquefied natural gas importing security strategy considering multi-factor: A multi-objective programming approach

LNG importing strategies, in the literature, are primarily studied under a common single-factor framework. However, LNG importing strategies are affected by a variety of factors. To address this existing gap, this paper proposes a Multi-Objective Programming model, which takes into account the cost, the country risk, the shipping risk, and the impact of extreme events. A pure structural change model is used to determine the risk impact coefficient for extreme events. An enhanced Simulated Annealing Algorithm is then used to solve the LNG-importing optimization problem. An experimental study is further conducted to verify the practicability of the proposed approach in the case of China's LNG-importing data. The software implementation of the proposed model is developed in Python. The proposed model provides a decision support tool for LNG importing companies to find an efficient portfolio strategy for LNG importing. The optimization model can be used for analyzing similar scenarios involving such dimensions as economy, energy security, and especially energy diversification.     

XP-PSP集成软件过程模型

为了提高软件开发的效率,控制软件产品的质量,以及增强软件工程师自我管理的能力,提出了一个集成的软件过程模型——XP-PSP。XP-PSP首先采用极限编程(XP)迭代式的过程框架,然后在每次迭代中引入个人软件过程(PSP)和极限编程的具体实践,将极限编程和个人软件过程中的具体实践相结合,使得过程模型既具有极限编程所提供可适应性又具有个人软件过程所支持的可预测性。通过将这个过程模型应用到真实的项目环境中,验证了它的合理性和有效性,初步实现了两种过程的融合。