Structured Synthesis Method: The Evidence Factory Tool

P. Santos, G. Travassos
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引用次数: 6

Abstract

Background: research synthesis is still challenge in Software Engineering due to the heterogeneity of primary studies in the area. Also, it generates a significant volume of information which is complex to manage. Aims: to provide support to this kind of studies in SE. Method: we present the Evidence Factory, a tool designed to support the Structured Synthesis Method (SSM). SSM is a research synthesis method that can be used to aggregate both quantitative and qualitative studies. It is a kind of integrative synthesis method, such as meta-analysis, but has several features from interpretative methods, such as meta-ethnography, particularly those concerned with conceptual development. Results: the tool is a web-based infrastructure, which supports the organization of synthesis studies. Researchers can compare findings from different studies by modeling their results according to the evidence meta-model. After deciding whether the evidence can be combined, the tool automatically computes the uncertainty associated with the aggregated results using the formalisms from the Mathematical Theory of Evidence. Conclusion: the tool was used in real synthesis studies and is freely available for the SE community.
结构化合成方法:证据工厂工具
背景:由于软件工程领域初级研究的异质性,研究综合仍然是一个挑战。此外,它还会产生大量难以管理的信息。目的:为东南地区的此类研究提供支持。方法:我们提出了证据工厂,一个旨在支持结构化合成方法(SSM)的工具。SSM是一种研究综合方法,可用于汇总定量和定性研究。它是一种综合性的综合方法,如元分析,但又有一些解释方法的特点,如元民族志,特别是那些与概念发展有关的解释方法。结果:该工具是一个基于网络的基础设施,支持综合研究的组织。研究人员可以根据证据元模型对不同研究的结果进行建模,从而比较不同研究的结果。在决定证据是否可以合并之后,该工具使用证据数学理论的形式自动计算与汇总结果相关的不确定性。结论:该工具用于真实的合成研究,并且可以免费提供给SE社区。
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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