CTHP: Selection for adoption of open-source bioinformatics software based on a customised ISO 25010 quality model, three-way decision and Delphi hierarchy process

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING IET Software Pub Date : 2023-06-27 DOI:10.1049/sfw2.12134
Yuqi Li, Yixin Bian, Ziheng Zhang, Song Zhao, Yiqi Liu
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Abstract

The ever-growing open-source software tools in different domains increase the difficulty of software selection from the end-users perspective. The process of evaluating, comparing, and selecting open-source solutions is far from trivial. Especially, when additional requirements need to be considered, the existing methodologies will fail to adapt to the new tasks. The objective of this study is to present a solution for dealing with this issue. A novel approach, CTHP, is presented for the evaluation and selection of open-source software in the Bioinformatics domain. First, the ISO 25010 quality model is chosen as the basis. This model is customised according to the special characteristics of the Bioinformatics applications. The customisation is done by extracting the quality factors from the Bioinformatics applications, weighting these factors from the viewpoints of both developers and end-users, and adding them to the model. After that, Three-way Decision and Delphi Hierarchy Process are integrated to assist in the selection for adoption. Finally, as a case study, the proposed approach is applied to assist the decision-making process of two popular natural language processing frameworks in the Bioinformatics area. Our study is a valuable contribution since it provides a systematic way to document the decision-making process and help the researchers and practitioners of Bioinformatics to make better decisions among the alternatives.

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CTHP:基于定制的ISO25010质量模型、三方决策和Delphi层次过程选择采用开源生物信息学软件
不同领域中不断增长的开源软件工具增加了从最终用户角度选择软件的难度。评估、比较和选择开源解决方案的过程绝非易事。特别是,当需要考虑额外的需求时,现有的方法将无法适应新的任务。本研究的目的是提出解决这一问题的办法。提出了一种新的方法,CTHP,用于评估和选择生物信息学领域的开源软件。首先,选择ISO 25010质量模型作为基础。该模型是根据生物信息学应用的特殊特性定制的。定制是通过从生物信息学应用程序中提取质量因素来完成的,从开发人员和最终用户的角度对这些因素进行加权,并将它们添加到模型中。之后,将三向决策和德尔菲层次过程相结合,以帮助选择采用。最后,作为一个案例研究,将所提出的方法应用于生物信息学领域两个流行的自然语言处理框架的决策过程。我们的研究是一项有价值的贡献,因为它提供了一种系统的方式来记录决策过程,并帮助生物信息学的研究人员和从业者在备选方案中做出更好的决策。
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来源期刊
IET Software
IET Software 工程技术-计算机:软件工程
CiteScore
4.20
自引率
0.00%
发文量
27
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
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