业务流程自动化软件的启发方法综述

IF 1.5 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

IET Software Pub Date : 2023-03-29 DOI:10.3390/software2020008

T. Menezes

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引用次数: 1

摘要

一些组织已经投资了业务流程自动化软件来改进他们的流程。具有高方差和非结构化数据的非标准化过程阻碍了业务过程自动化软件的需求提取。本研究进行了系统的文献综述，以发现理解业务过程和引出业务过程自动化软件需求的方法。回顾揭示了许多用于理解业务过程的方法，但是只有一种方法被用来引出业务过程自动化软件的需求。此外，审查确定了一些挑战和机会。开发业务流程自动化软件的挑战包括处理业务流程、满足组织的需求、选择正确的方法以及在开发过程中适应流程中的变化。这些挑战为提出特定的方法来引出这种情况下的需求提供了机会。

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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A Review to Find Elicitation Methods for Business Process Automation Software

Several organizations have invested in business process automation software to improve their processes. Unstandardized processes with high variance and unstructured data encumber the requirements elicitation for business process automation software. This study conducted a systematic literature review to discover methods to understand business processes and elicit requirements for business process automation software. The review revealed many methods used to understand business processes, but only one was employed to elicit requirements for business process automation software. In addition, the review identified some challenges and opportunities. The challenges of developing a business process automation software include dealing with business processes, meeting the needs of the organization, choosing the right approach, and adapting to changes in the process during the development. These challenges open opportunities for proposing specific approaches to elicit requirements in this context.

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来源期刊

IET Software 工程技术-计算机：软件工程

CiteScore

4.20

自引率

0.00%

发文量

审稿时长

9 months

期刊介绍： IET Software publishes papers on all aspects of the software lifecycle, including design, development, implementation and maintenance. The focus of the journal is on the methods used to develop and maintain software, and their practical application. Authors are especially encouraged to submit papers on the following topics, although papers on all aspects of software engineering are welcome: Software and systems requirements engineering Formal methods, design methods, practice and experience Software architecture, aspect and object orientation, reuse and re-engineering Testing, verification and validation techniques Software dependability and measurement Human systems engineering and human-computer interaction Knowledge engineering; expert and knowledge-based systems, intelligent agents Information systems engineering Application of software engineering in industry and commerce Software engineering technology transfer Management of software development Theoretical aspects of software development Machine learning Big data and big code Cloud computing Current Special Issue. Call for papers: Knowledge Discovery for Software Development - https://digital-library.theiet.org/files/IET_SEN_CFP_KDSD.pdf Big Data Analytics for Sustainable Software Development - https://digital-library.theiet.org/files/IET_SEN_CFP_BDASSD.pdf