The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.
Systematic literature review of machine learning based software development effort estimation models
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Citations
Cites
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Software Engineering Economics
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Empirical studies of agile software development: A systematic review
Dybå, T., & Dingsøyr, T. (2008) · Information and Software Technology · doi:10.1016/j.infsof.2008.01.006 · Cited by 2,668 · cited 1×
“, QA1, QA7, QA8, and QA10) are derived from [39].”
Pattern recognition and machine learning
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Meta-Ethnography: Synthesizing Qualitative Studies
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Cited by
A systematic review of machine learning techniques for software fault prediction
Malhotra, R. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2014.11.023 · Cited by 620
Machine Learning based Digital Twin Framework for Production Optimization in Petrochemical Industry
Min, Q., Lu, Y., Liu, Z., Su, C., & Wang, B. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.05.020 · Cited by 436
Ampatzoglou, A., Bibi, S., Avgeriou, P., Verbeek, M., & Chatzigeorgiou, A. (2019) · Information and Software Technology · doi:10.1016/j.infsof.2018.10.006 · Cited by 305
Pospieszny, P., Czarnacka-Chrobot, B., & Kobylinski, A. (2018) · Journal of Systems and Software · doi:10.1016/j.jss.2017.11.066 · Cited by 247
An empirical analysis of data preprocessing for machine learning-based software cost estimation
Huang, J., Li, Y.-F., & Xie, M. (2015) · Information and Software Technology · doi:10.1016/j.infsof.2015.07.004 · Cited by 223
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
Watson, C., Cooper, N., Palacio, D. N., Moran, K., & Poshyvanyk, D. (2022) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3485275 · Cited by 137
Neural network models for software development effort estimation: a comparative study
Nassif, A. B., Azzeh, M., Capretz, L. F., & Ho, D. (2016) · Neural Computing and Applications · doi:10.1007/s00521-015-2127-1 · Cited by 122
A Systematic Review of Intelligence Video Surveillance: Trends, Techniques, Frameworks, and Datasets
Shidik, G. F., Noersasongko, E., Nugraha, A., Andono, P. N., Jumanto, J., & Kusuma, E. J. (2019) · IEEE Access · doi:10.1109/access.2019.2955387 · Cited by 114
Systematic Literature Review of Industry 4.0 Maturity Model for Manufacturing and Logistics Sectors
Angreani, L. S., Vijaya, A., & Wicaksono, H. (2020) · Procedia Manufacturing · doi:10.1016/j.promfg.2020.11.056 · Cited by 87
On using grey literature and google scholar in systematic literature reviews in software engineering
Yasin, A., Fatima, R., Wen, L., Afzal, W., Azhar, M., & Torkar, R. (2020) · IEEE Access · doi:10.1109/access.2020.2971712 · Cited by 85
Software estimation: towards prescriptive analytics
Pospieszny, P. (2017) · Proceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement · doi:10.1145/3143434.3143459 · Cited by 14
The Impact of Data Quality on Software Testing Effort Prediction
Radliński, Ł. (2023) · Electronics · doi:10.3390/electronics12071656 · Cited by 8
The role of firm AI capabilities in generative AI-pair coding
Bughin, J. (2024) · Journal of Decision Systems · doi:10.1080/12460125.2024.2428187 · Cited by 6
Metadata
- Authors
- Wen, J., Li, S., Lin, Z., Hu, Y., & Huang, C.
- Venue
- Information and Software Technology
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 54
- Issue
- 1
- Pages
- 41-59
- ISSN
- 0950-5849 (ISSN-L)
- OpenAlex
- W2037664399
- Cited by
- 526
- References
- 104
- FWCI
- 5.36
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
