Improving operational decision-making through decision mining - utilizing method engineering for the creation of a decision mining method

IF 3.8 2区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information and Software Technology Pub Date : 2024-11-19 DOI:10.1016/j.infsof.2024.107627

Sam Leewis , Koen Smit , Bas van den Boom , Johan Versendaal

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引用次数: 0

Abstract

Context

This study addresses the challenge of enhancing the efficiency and agility of decision support software supporting both operational decision-making and software production teams developing decision support software. It centers on creating a method that assists in mining decisions, checking decisions on conformance, and improving decisions, which supports software production teams in developing decision support software.

Objective

The primary objective is to develop an explicit, clear, and structured approach for discovering, checking, and improving decisions using decision support software. The study aims to create a blueprint for software production teams to develop Decision Mining (DM) software, in line with recent advancements in the field. Additionally, it seeks to provide a consolidated, methodical overview of activities and deliverables in the DM research field.

Method

The research employs method engineering principles to construct a method for DM that leverages the existing body of knowledge by utilizing a Systematic Literature Review (SLR). The study focuses on developing individual building blocks and method fragments incorporated into seven DM scenarios.

Results

The study led to the creation of a Decision Mining Method (DMM), which includes 138 method fragments grouped into eleven categories. These fragments were systematically merged to form a comprehensive DMM. The method encapsulates the complexity of DM and provides practical applicability in real-world scenarios, highlighted by the identification of seven distinct scenarios in DM phases. The study also conducted the first SLR in the DM field, providing a comprehensive overview of current practices and outcomes.

Conclusion

The study helps in advancing the DM field by creating a structured approach and a comprehensive method for DM, aligning with recent developments in the field. It successfully aggregated the fragmented DM domain into a cohesive methodological overview, crucial for future research. The study also lays out a detailed agenda for future research, focusing on expanding and validating the DMM, incorporating cross-disciplinary insights, and addressing the challenges in machine learning within DM. The future research directions aim to refine and broaden the applicability of the DMM, ensuring its effectiveness in diverse practical contexts and contributing to a more holistic and comprehensive approach to decision mining.

查看原文本刊更多论文

通过决策挖掘改进业务决策--利用方法工程创建决策挖掘方法

背景本研究探讨了如何提高决策支持软件的效率和敏捷性，为业务决策和开发决策支持软件的软件制作团队提供支持。其核心是创建一种方法，帮助挖掘决策、检查决策的一致性并改进决策，从而为软件生产团队开发决策支持软件提供支持。本研究旨在为软件制作团队开发决策挖掘（DM）软件绘制蓝图，与该领域的最新进展保持一致。方法本研究采用方法工程学原理，通过系统文献综述（SLR）来构建一种利用现有知识体系的 DM 方法。研究重点是开发融入七个 DM 场景的单个构建模块和方法片段。这些片段经过系统合并，形成了一个全面的 DMM。该方法囊括了 DM 的复杂性，并可实际应用于现实世界中的各种场景，在 DM 阶段中识别出的七种不同场景就凸显了这一点。本研究还首次在 DM 领域开展了 SLR，全面概述了当前的实践和成果。它成功地将支离破碎的 DM 领域整合为一个具有凝聚力的方法概述，这对未来的研究至关重要。本研究还为未来研究制定了详细的议程，重点是扩展和验证 DMM，纳入跨学科见解，以及应对 DM 中机器学习所面临的挑战。未来的研究方向旨在完善和拓宽 DMM 的适用性，确保其在各种实际环境中的有效性，并为决策挖掘提供更全面、更综合的方法。

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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来源期刊

Information and Software Technology 工程技术-计算机：软件工程

CiteScore

9.10

自引率

7.70%

发文量

164

审稿时长

9.6 weeks

期刊介绍： Information and Software Technology is the international archival journal focusing on research and experience that contributes to the improvement of software development practices. The journal''s scope includes methods and techniques to better engineer software and manage its development. Articles submitted for review should have a clear component of software engineering or address ways to improve the engineering and management of software development. Areas covered by the journal include: • Software management, quality and metrics, • Software processes, • Software architecture, modelling, specification, design and programming • Functional and non-functional software requirements • Software testing and verification & validation • Empirical studies of all aspects of engineering and managing software development Short Communications is a new section dedicated to short papers addressing new ideas, controversial opinions, "Negative" results and much more. Read the Guide for authors for more information. The journal encourages and welcomes submissions of systematic literature studies (reviews and maps) within the scope of the journal. Information and Software Technology is the premiere outlet for systematic literature studies in software engineering.