是什么让过程挖掘分析师的生活变得困难?挑战的反映

IF 2 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Lisa Zimmermann, Francesca Zerbato, Barbara Weber
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引用次数: 0

摘要

在过去的几年中,出现了一些软件公司,它们提供过程挖掘工具来帮助企业获得对其过程执行的洞察。然而,过程挖掘技术的有效应用依赖于需要精通管理过程挖掘项目并提供过程洞察力和改进机会的分析人员。为了有助于更好地理解分析人员所遇到的困难,并为为他们提供加强和量身定制的支持铺平道路,这项工作揭示了他们在实践中感受到的挑战。特别是,我们根据与41位分析师的访谈确定了23个挑战,我们使用问卷调查来验证这些挑战。我们提供了对过程挖掘挑战的相关性的见解,并提出了在实践中应用的缓解策略,以克服这些挑战。虽然存在缓解策略,但我们的发现意味着需要进一步的研究,以便在个人层面上,以及在技术、团队和组织层面上,为过程挖掘项目的所有阶段的分析人员提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

What makes life for process mining analysts difficult? A reflection of challenges

What makes life for process mining analysts difficult? A reflection of challenges

Over the past few years, several software companies have emerged that offer process mining tools to assist enterprises in gaining insights into their process executions. However, the effective application of process mining technologies depends on analysts who need to be proficient in managing process mining projects and providing process insights and improvement opportunities. To contribute to a better understanding of the difficulties encountered by analysts and to pave the way for the development of enhanced and tailored support for them, this work reveals the challenges they perceive in practice. In particular, we identify 23 challenges based on interviews with 41 analysts, which we validate using a questionnaire survey. We provide insights into the relevancy of the process mining challenges and present mitigation strategies applied in practice to overcome them. While mitigation strategies exist, our findings imply the need for further research to provide support for analysts along all phases of process mining projects on the individual level, but also the technical, group, and organizational levels.

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来源期刊
Software and Systems Modeling
Software and Systems Modeling 工程技术-计算机:软件工程
CiteScore
6.00
自引率
20.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: We invite authors to submit papers that discuss and analyze research challenges and experiences pertaining to software and system modeling languages, techniques, tools, practices and other facets. The following are some of the topic areas that are of special interest, but the journal publishes on a wide range of software and systems modeling concerns: Domain-specific models and modeling standards; Model-based testing techniques; Model-based simulation techniques; Formal syntax and semantics of modeling languages such as the UML; Rigorous model-based analysis; Model composition, refinement and transformation; Software Language Engineering; Modeling Languages in Science and Engineering; Language Adaptation and Composition; Metamodeling techniques; Measuring quality of models and languages; Ontological approaches to model engineering; Generating test and code artifacts from models; Model synthesis; Methodology; Model development tool environments; Modeling Cyberphysical Systems; Data intensive modeling; Derivation of explicit models from data; Case studies and experience reports with significant modeling lessons learned; Comparative analyses of modeling languages and techniques; Scientific assessment of modeling practices
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