CTHP: Selection for adoption of open-source bioinformatics software based on a customised ISO 25010 quality model, three-way decision and Delphi hierarchy process
Yuqi Li, Yixin Bian, Ziheng Zhang, Song Zhao, Yiqi Liu
{"title":"CTHP: Selection for adoption of open-source bioinformatics software based on a customised ISO 25010 quality model, three-way decision and Delphi hierarchy process","authors":"Yuqi Li, Yixin Bian, Ziheng Zhang, Song Zhao, Yiqi Liu","doi":"10.1049/sfw2.12134","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <p>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.</p>\n </section>\n </div>","PeriodicalId":50378,"journal":{"name":"IET Software","volume":"17 4","pages":"496-508"},"PeriodicalIF":1.5000,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sfw2.12134","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Software","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/sfw2.12134","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
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.
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