Experiences Conducting Experiments in Industry: The ESEIL FiDiPro Project

N. Juristo
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引用次数: 2

Abstract

The Experimental Software Engineering Industry Laboratory (ESEIL) project funded by the Finland Distinguished Professor Programme (FiDiPro) kicked off in January 2013. The aim of this research is to gain insight into whether experiments in the software industry can play the role of clinical trials in medicine, that is, field test laboratory findings, acting as the last link in the experimental chain. Besides this research goal, we believe that companies can benefit from the conducted experiments by applying the resulting evidence in their decision-making processes. Controlled experiments in laboratory settings are commonplace in software engineering, but experiments in industry are thin on the ground. Of the few existing cases, most are 1-1 (running one experiment at one company), just a few are n-1 (running n experiments at one company) and still fewer are 1-n (running one and the same experiment at n companies). So far we have conducted the same experiment at seven sites of six companies (four Finnish, one Estonian and one Spanish), and the results have been transferred so that these companies could use the local and global results in decision-making. This talk will discuss several striking and unexpected behaviours regarding both the developers participating in the experiments and the managers receiving and using the results of the experiments. The talk presents challenges and lessons learnt in recruiting participants for experiments, designing and running the experiment, as well as transferring the results.
进行工业实验的经验:ESEIL FiDiPro项目
由芬兰杰出教授计划(FiDiPro)资助的实验软件工程工业实验室(ESEIL)项目于2013年1月启动。本研究的目的是了解软件行业的实验是否可以发挥医学临床试验的作用,即现场测试实验室结果,作为实验链的最后一环。除了这个研究目标之外,我们认为公司可以从所进行的实验中受益,将结果证据应用于他们的决策过程。在实验室环境下的受控实验在软件工程中很常见,但在工业上的实验却很少。在现有的少数案例中,大多数是1-1(在一家公司进行一次实验),只有少数是n-1(在一家公司进行n次实验),而更少是1-n(在n家公司进行一个相同的实验)。到目前为止,我们已经在6家公司(4家芬兰公司、1家爱沙尼亚公司和1家西班牙公司)的7个地点进行了同样的实验,结果已经转移,以便这些公司可以在决策中使用当地和全球的结果。本演讲将讨论参与实验的开发人员和接收和使用实验结果的管理人员的几个引人注目和意想不到的行为。讲座介绍了在招募实验参与者、设计和运行实验以及转移结果方面的挑战和经验教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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