软件工程实验中使用不同财务激励方案的实验室实验研究
A Laboratory Experiment on Using Different Financial-Incentivization Schemes in Software-Engineering Experimentation
AI总结：
本研究针对软件工程实验较少使用财务激励的现状，设计三种不同财务激励方案开展对照实验，发现方案会影响参与者表现，为实验设计和开发者薪酬制定提供参考。
摘要：
在软件工程研究领域，许多实证研究均以开源开发者或行业开发者为研究对象开展。然而，与经济学或心理学等其他研究领域不同的是，仅有极少数实验将财务激励（即支付金钱）作为激励参与者行为、奖励其表现的策略。最新版的SIGSOFT Empirical Standards（软件工程实证标准）仅提及用报酬提升调查参与度，并未提及在实验中用报酬模拟真实场景下的动机与行为。本文报告了一项对照实验，我们通过研究不同财务激励方案对开发者的影响，填补了这一研究空白。为此，我们首先针对真实场景中采用的财务激励开展了一项调查，并基于调查结果设计了三种激励方案：（1）员工偏好的绩效关联方案；（2）与绩效无关的方案；（3）模拟开源开发模式的方案。随后，我们采用被试间实验设计，探究这三种方案对参与者表现的影响。研究结果表明，不同方案会对软件工程实验中的参与者表现产生影响。受样本量较小限制，我们的结果不具备统计显著性，但仍可观察到明确的趋势。本研究成果有助于理解实验及真实场景中财务激励对参与者的影响，可为研究人员设计实验、企业为开发者制定薪酬方案提供指导。
英文摘要：
In software-engineering research, many empirical studies are conducted with open-source or industry developers. However, in contrast to other research communities like economics or psychology, only few experiments use financial incentives (i.e., paying money) as a strategy to motivate participants' behavior and reward their performance. The most recent version of the SIGSOFT Empirical Standards mentions payouts only for increasing participation in surveys, but not for mimicking real-world motivations and behavior in experiments. Within this article, we report a controlled experiment in which we tackled this gap by studying how different financial incentivization schemes impact developers. For this purpose, we first conducted a survey on financial incentives used in the real-world, based on which we designed three incentivization schemes: (1) a performance-dependent scheme that employees prefer, (2) a scheme that is performance-independent, and (3) a scheme that mimics open-source development. Then, using a between-subject experimental design, we explored how these three schemes impact participants' performance. Our findings indicate that the different schemes can impact participants' performance in software-engineering experiments. Due to the small sample sizes, our results are not statistically significant, but we can still observe clear tendencies. Our contributions help understand the impact of financial incentives on participants in experiments as well as real-world scenarios, guiding researchers in designing experiments and organizations in compensating developers.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
