Fuzzy AHP based prioritization and taxonomy of software process improvement success factors in global software development
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Neglecting change control in security is a DevOps security challenge.
“Düllmann et al. [24] and some other researchers [69], [78], [81] considered neglecting change control in security most challenging factor of DevOps.”
From Prioritization based taxonomy of DevOps security challenges using PROMETHEE (2020) · cites this paper as [78]
Using unsuitable performance metrics for security evaluation is a DevOps security challenge.
“We reviewed those studies briefly and extracted all the challenging factors including lack of secure coding standards [2], [23], [80], [81], using unsuitable performance metrics for security evaluation [2], [69], [78], [79] and lack of integrated testing tools to secure DevOps [14], [52], [53], [71].”
From Prioritization based taxonomy of DevOps security challenges using PROMETHEE (2020) · cites this paper as [78]
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Self-citationDevelopment of a Model for Trust Management in the Social Internet of Things
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Self-citationSoftware process selection system based on multicriteria decision making
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A multi-criteria cloud selection model based on fuzzy logic technique for QoS
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Genetic model-based success probability prediction of quantum software development projects
Akbar, M. A., Khan, A. A., Shameem, M., & Nadeem, M. (2023) · Information and Software Technology · doi:10.1016/j.infsof.2023.107352 · Cited by 13 · see citing works
Self-citationBusiness process management approach for improving agile software process and agile maturity
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Khattak, K.-N., Hassan, Z., Naqvi, S. S. A., Khan, M. A., Qayyum, F., & Ullah, I. (2024) · Sustainability · doi:10.3390/su16062507 · Cited by 16 · see citing works
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Taxonomy of metrics for effectively estimating quantum software projects: A fuzzy-AHP based analysis
Shameem, M., Nadeem, M., Niazi, M., Mahmood, S., & Kumar, A. (2025) · Applied Soft Computing · doi:10.1016/j.asoc.2025.112816 · Cited by 10 · see citing works
Self-citationRanking of cloud services by applying BWM-TOPSIS, BWM-ARAS, and BWM-COPRAS hybrid MCDM methods
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Self-citationAn Evaluation Model of the Learning Effect of Physical Education Major Courses in Colleges
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Khan, A. W., Khan, M. U., Khan, J. A., Khan, J. A., & Gul, W. (2021) · Journal of Software Evolution and Process · doi:10.1002/smr.2387 · Cited by 9 · see citing works
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Prioritization of DevOps Maturity models using Fuzzy TOPSIS
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Challenges to Project Management in Distributed Software Development: A Systematic Literature Review
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Modeling of water scarcity for spatial analysis using Water Poverty Index and fuzzy-MCDM technique
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Influência de Práticas de Gestão do Conhecimento Aplicadas ao Desenvolvimento Ágil de Software
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Numerical fact-finding of different functions impact on the fuzzy preference programming optimality
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A Fuzzy AHP-based Quantitative Framework to Prioritize the Crowd-Based Requirements
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Challenges in Creating Business Value from Health Information Systems (HIS): A Hybrid Fuzzy Approach
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Critical Challenges of Designing Software Architecture for Internet of Things (IoT) Software System
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Shameem, M., Anwer, S., Mahmood, S., Algamdi, S. A., Niazi, M., & Mohammed, M. (2026) · Applied Soft Computing · doi:10.1016/j.asoc.2026.116127 · Cited by 2 · see citing works
Self-citation
- Authors
- Khan, A. A., Shameem, M., Kumar, R. R., Hussain, S., & Yan, X.
- Affiliations
- Nanjing University of Aeronautics and Astronautics (CN)
- Indian Institute of Technology Dhanbad (IN)
- COMSATS University Islamabad (PK)
- Corresponding author
- Khan, Arif Ali
- Venue
- Applied Soft Computing
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 83
- Pages
- 105648
- ISSN
- 1568-4946 (ISSN-L)
- OpenAlex
- W2965033383
- Cited by
- 126
- References
- 76
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 8 · 2023: 20 · 2022: 32 · 2021: 19 · 2020: 33 · 2019: 1
- FWCI
- 26.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Soft Computing (publishedVersion)
- Funders
- Nanjing University of Aeronautics and Astronautics (1015-YAH18056, 41401010201, 41401010401)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Software Engineering Methodologies
- Keywords
- distributed software development, software process improvement, success factors, fuzzy analytic hierarchy process, factor prioritization, taxonomy (general classification scheme), multi-criteria decision making, expert opinion
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