首页> 外文会议>Empirical Software Engineering, 2004. ISESE '04. Proceedings. 2004 International Symposium on >Extreme programming: a survey of empirical data from a controlled case study
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Extreme programming: a survey of empirical data from a controlled case study

机译:极限编程:来自受控案例研究的经验数据调查

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Extreme programming (XP) is a well known agile software development method. While a number of experience reports have been published in recent years, agile software development in general and XP in particular have strongly been criticized for the lack of empirical data. This paper reports a survey of the empirical data obtained from a controlled case study on extreme programming in practical settings. Thus, no hypotheses were set a priori. Four software engineers were acquired to implement a Web-based system (7698 Locs, 820 hours) for data management in a delivery schedule of eight weeks. Development environment was close to the agile home ground. Collected empirical data is grounded on three basic data points: time, size and defects. Data is organized around five system releases, each which were tested by 17 customer testers. System release defect-density was 1.43 defects/KLOC, team overall productivity 16.90 Locs/hour and rework costs were 9.8% of the total development effort. The implications of this study are discussed.
机译:极限编程(XP)是一种众所周知的敏捷软件开发方法。尽管近年来已经发布了许多经验报告,但是由于缺乏经验数据,敏捷(特别是XP)的开发受到了广泛的批评。本文报告了对从实际环境中极限编程的控制案例研究获得的经验数据的调查。因此,没有先验假设。采购了四名软件工程师,以实施基于Web的系统(7698 Locs,820小时),用于在八周的交付时间内进行数据管理。开发环境接近敏捷的家庭环境。收集的经验数据基于三个基本数据点:时间,大小和缺陷。数据围绕五个系统版本进行组织,每个系统版本均由17位客户测试人员进行了测试。系统发布缺陷密度为1.43缺陷/ KLOC,团队整体生产率为16.90 Locs /小时,返工成本为总开发工作量的9.8%。讨论了这项研究的意义。

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