弥合差距：将证据适应决策框架以支持软件工程学术界与产业界之间的联系
Bridging the Gap: Adapting Evidence to Decision Frameworks to support the link between Software Engineering academia and industry
AI总结：
本文提出将证据到决策框架引入软件工程，以提升系统文献综述结果对产业实践的指导作用，并探讨其实施挑战。
摘要：
二十多年前，软件工程（SE）研究社区已开始参与基于证据的软件工程（EBSE）。EBSE旨在通过严谨研究的最佳证据（尤其是系统文献综述（SLR））来指导工业实践。此后，SE研究人员进行了许多SLR，完善了SLR流程，提出了替代结果呈现方式（如证据简报），并广泛讨论了如何开展影响实践的研究。然而，仍然有一种感觉是SLR的结果未能到达从业者。有些东西正在缺失。在本文观点论文中，我们引入了来自健康科学的证据到决策（EtD）框架，这些框架提出通过专家小组收集现有最佳证据，以评估干预在所有相关结果中的影响，并基于这些证据做出结构化推荐。我们从EtD框架中可以利用的洞察并非其结构本身，而是所有用于从SLR中向从业者做出推荐的相关标准。此外，我们基于一个SE SLR提供了实例。我们还讨论了SE研究和实践社区在采用EtD框架时可能面临的挑战，强调了在向产业从业者推荐时需要更全面的标准。
英文摘要：
Over twenty years ago, the Software Engineering (SE) research community have been involved with Evidence-Based Software Engineering (EBSE). EBSE aims to inform industrial practice with the best evidence from rigorous research, preferably from systematic literature reviews (SLRs). Since then, SE researchers have conducted many SLRs, perfected their SLR procedures, proposed alternative ways of presenting their results (such as Evidence Briefings), and profusely discussed how to conduct research that impacts practice. Nevertheless, there is still a feeling that SLRs' results are not reaching practitioners. Something is missing. In this vision paper, we introduce Evidence to Decision (EtD) frameworks from the health sciences, which propose gathering experts in panels to assess the existing best evidence about the impact of an intervention in all relevant outcomes and make structured recommendations based on them. The insight we can leverage from EtD frameworks is not their structure per se but all the relevant criteria for making recommendations to practitioners from SLRs. Furthermore, we provide a worked example based on an SE SLR. We also discuss the challenges the SE research and practice community may face when adopting EtD frameworks, highlighting the need for more comprehensive criteria in our recommendations to industry practitioners.
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。
