ArticleBMC medical informatics and decision making2020
A fuzzy TOPSIS based analysis toward selection of effective security requirements engineering approach for trustworthy healthcare software development.
Article in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 88 citations in OpenAlex.
- Factors influencing the adoption of secure software engineering practices in pre-adoption and post-adoption phases.Scientific reports · 2025Article
- Improving network resilience against DDoS attacks: A fuzzy TOPSIS-based quantitative assessment approach.Heliyon · 2024Article
- Article
- Modeling security evaluation framework for IoHT-driven systems using integrated decision-making methodology.Scientific reports · 2024Article
- RETRACTED: Evaluating modern intrusion detection methods in the face of Gen V multi-vector attacks with fuzzy AHP-TOPSIS.PloS one · 2024Article
- Article
- Multi-Layer Attack Graph Analysis in the 5G Edge Network Using a Dynamic Hexagonal Fuzzy Method.Sensors (Basel, Switzerland) · 2021Article
- Ensuring data integrity of healthcare information in the era of digital health.Healthcare technology letters · 2021Article
- Prediction of PCOS and Mental Health Using Fuzzy Inference and SVM.Frontiers in public health · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundToday's healthcare organizations want to implement secure and quality healthcare software as cyber-security is a significant risk factor for healthcare data. Considering security requirements during trustworthy healthcare software development process is an essential part of the quality software development. There are several Security Requirements Engineering (SRE) methodologies, framework, process, standards available today. Unfortunately, there is still a necessity to improve these security requirements engineering approaches. Determining the most suitable security requirements engineering method for trustworthy healthcare software development is a challenging process. This study is aimed to present security experts' perspective on the relative importance of the criteria for selecting effective SRE method by utilizing the multi-criteria decision making methods.
methodsThe study was planned and conducted to identify the most appropriate SRE approach for quality and trustworthy software development based on the security expert's knowledge and experience. The hierarchical model was evaluated by using fuzzy TOPSIS model. Effective SRE selection criteria were compared in pairs. 25 security experts were asked to response the pairwise criteria comparison form.
resultsThe impact of the recognized selection criteria for effective security requirements engineering approaches has been evaluated quantitatively. For each of the 25 participants, comparison matrixes were formed based on the scores of their responses in the form. The consistency ratios (CR) were found to be smaller than 10% (CR = 9.1% < 10%). According to pairwise comparisons result; with a 0.842 closeness coefficient (Ci), STORE methodology is the most effective security requirements engineering approach for trustworthy healthcare software development.
conclusionsThe findings of this research study demonstrate various factors in the decision-making process for the selection of a reliable method for security requirements engineering. This is a significant study that uses multi-criteria decision-making tools, specifically fuzzy TOPSIS, which used to evaluate different SRE methods for secure and trustworthy healthcare application development.
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Registered trials
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