The DOI matches its Crossref record; 72 of the 76 references it cites were found in a registry or an index.
Fuzzy AHP based prioritization and taxonomy of software process improvement success factors in global software development
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In the citing paper
“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]
In the citing paper
“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]
Citations
Cites
The Analytic Hierarchy Process
Saaty, T. L., & Kearns, K. P. (1985) · Elsevier eBooks · doi:10.1016/b978-0-08-032599-6.50008-8 · Cited by 15,407
Applications of the Extent Analysis Method on Fuzzy AHP
Chang, D.-Y. (1996) · European Journal of Operational Research · doi:10.1016/0377-2217(95)00300-2 · Cited by 4,874
The Sage encyclopedia of social science research methods
(2004) · Choice Reviews Online · doi:10.5860/choice.42-0062 · Cited by 1,340
The Analytic Hierarchy Process
Wang, J., Chakraborty, C., & Ouyang, H. (2011) · IGI Global eBooks · doi:10.4018/9781599048437.ch003 · Cited by 1,334
Herbsleb, J. D., & Moitra, D. (2001) · IEEE Software · doi:10.1109/52.914732 · Cited by 1,059
A discipline for software engineering
(1995) · Control Engineering Practice · doi:10.1016/0967-0661(95)90062-4 · Cited by 1,018
IEEE Standard Glossary of Software Engineering Terminology
(1990) · doi:10.1109/ieeestd.1990.101064 · Cited by 995
The Capability Maturity Model for Software
Paulk, M. C., Curtis, B., Chrissis, M. B., & Weber, C. V. (2011) · Institute of Electrical and Electronics Engineers eBooks · doi:10.1109/9781118156667.ch2 · Cited by 801
Group decision making process for supplier selection with VIKOR under fuzzy environment
Sanayei, A., Mousavi, S. F., & Yazdankhah, A. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.04.063 · Cited by 604
Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems: Selected Papers by Lotfi A Zadeh
Klir, G. J., & Yuan, B. (1996) · Cited by 559
Research works printed but not linked: 8
- M. Kuhrmann, C. Konopka, P. Nellemann, P. Diebold, J. Münch, Software process improvement: where is the evidence?: initial findings from a systematic mapping study, in: Proceedings of the International Conference on Software and System Process.
- P. Abrahamsson, Measuring the success of software process improvement: the dimensions. arXiv preprint arXiv:1309.4645, 2013. · arXiv
- M. Bano, N. Ikram, Software process improvement: A systematic literature review, in: 15th International Multitopic Conference, INMIC, 2012, pp. 459–464. · DOI
- Ayhan, 2013, Fuzzy topsis application for supplier selection problem, Int. J. Inf. Bus. Manag., 5, 159
- IEEE, 1991, Standards coordinating committee of the IEEE Computer Society
- N. Baddoo, T. Hall, D. Wilson, Implementing a people focused SPI programme, in: 11th European Software Control and Metrics Conference, 2000, pp. 373–382.
- N. Bunditwongrat, T. Mathupayas, N. Atcharawan, An empirical framework of key success factors for software process improvement, in: Proceedings of the European Conference on Information Management & Evaluation, 2011, pp. 82–90.
- Kabir, 2011, Comparative analysis of AHP and fuzzy AHP models for multicriteria inventory classification, Int. J. Fuzzy Log. Syst., 1, 1
Cited by
Sorted by citations
A review of fuzzy AHP methods for decision-making with subjective judgements
Liu, Y., Eckert, C. M., & Earl, C. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113738 · Cited by 1,088
Analytical hierarchy process: revolution and evolution
Madjid Tavana, D., Soltanifar, M., & Santos‐Arteaga, F. J. (2021) · Annals of Operations Research · doi:10.1007/s10479-021-04432-2 · Cited by 327
Quantum computing challenges in the software industry. A fuzzy AHP-based approach
Awan, U., Hannola, L., Tandon, A., Goyal, R. K., & Dhir, A. (2022) · Information and Software Technology · doi:10.1016/j.infsof.2022.106896 · Cited by 163
Saeidi, P., Mardani, A., Mishra, A. R., Cajas, V., & Galarraga-Carvajal, M. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.133380 · Cited by 121
Mahmoudi, A., Javed, S. A., & Mardani, A. (2021) · Operations Management Research · doi:10.1007/s12063-021-00178-z · Cited by 125
Metadata
- 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 › Software › 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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