The DOI matches its Crossref record.
Requirements engineering: The state of the practice
Abstract
Little contemporary data exists for document actual practices of software professionals for software requirements elicitation, requirements specification, document development, and specification validation. This exploratory survey and its quantitative results offer opportunities for further interpretation and comparison.
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Cited by
Large language models for software engineering: survey and open problems
Fan, A., Gokkaya, B., Harman, M., Lyubarskiy, M., Sengupta, S., Yoo, S., & Zhang, J. M. (2023) · 2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering (ICSE-FoSE) · doi:10.1109/icse-fose59343.2023.00008 · Cited by 650
Large Language Models for Software Engineering: Survey and Open Problems
Fan, A., Gokkaya, B., Harman, M., Lyubarskiy, M., Sengupta, S., Yoo, S., & Zhang, J. M. (2023) · arXiv · doi:10.48550/arxiv.2310.03533 · Cited by 523
The ABC of Software Engineering Research
Stol, K.-J., & Fitzgerald, B. (2018) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3241743 · Cited by 245
Requirements Engineering: Best Practice
Fricker, S. A., Grau, R., & Zwingli, A. (2015) · Requirements Engineering for Digital Health · doi:10.1007/978-3-319-09798-5_2 · Cited by 61
Kassab, M., DeFranco, J., & Graciano Neto, V. (2018) · 2018 IEEE International Professional Communication Conference (ProComm) · doi:10.1109/procomm.2018.00033 · Cited by 15
Metadata
- Authors
- Neill, C. J., & Laplante, P. A.
- Venue
- IEEE Software
- Published
- 2003-11
- Volume
- 20
- Issue
- 6
- Pages
- 40-45
- ISSN
- 0740-7459 (ISSN-L)
- OpenAlex
- W2044239701
- Cited by
- 277
- References
- 0
- FWCI
- 29.97
- Type
- journal article
- Language
- en
- Open access
- closed
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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.