行业实证研究的准入困难因素

L. Prechelt, Franz Zieris, H. Schmeisky
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引用次数: 8

摘要

背景:在工业中获得软件工程经验研究的访问权限的难度(不仅仅是努力)差别很大。据推测,其中一些难度的差异是特殊的,源于个人环境的属性(工业合作伙伴及其工作),而其余的是可重复的,与研究问题和研究设计的属性有关。问题:在研究问题和研究设计中出现的这些反复出现的困难因素是什么?是什么机制产生了它们的影响?方法:通过对研究经验的构思和知识提取,识别潜在的困难因素,通过专家讨论了解其机制,并通过概念分析将其分类。我们通过将其比较应用于同一研究小组所进行的两个研究工作来评估结果。结果:我们发现了6个范围因素、5个问题干预效应因素和7个有益干预(不良)效应因素。结论:在研究问题的制定和研究方法的设计中,系统地考虑这些因素有助于平衡数据收集困难与结果的有效性和相关性。
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Difficulty Factors of Obtaining Access for Empirical Studies in Industry
Context: The difficulty (not just effort) of obtaining access for software engineering empirical studies in industry varies greatly. Supposedly, some of this variance in difficulty is particular, stemming from properties of individual contexts (the industrial partners and their work), while the rest is repeatable, related to properties of the research question and research design. Question: What are these recurring difficulty factors that arise from research question and research design? What mechanisms produce their influence? Method: We use ideation and knowledge extraction from research experience to identify potential difficulty factors, use expert discussion to understand their mechanisms, and use concept analysis to arrange them into a taxonomy. We evaluate the result by comparatively applying it to two research efforts pursued by the same research group. Results: We find six scope factors, five problematic intervention effects factors, and seven helpful intervention (side-)effects factors. Conclusion: Considering these factors systematically during the formulation of a research question and the design of a research method can help with balancing data collection difficulty with results validity and relevance.
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