Requirements engineering for artificial intelligence systems: A systematic mapping study
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Coding standards: traceability and efficiency of the source code; for AI methods, further specification is required.
“Coding standards: traceability and efficiency of the source code [66]; for AI methods, further specification is required (e.g., [75]).”
From A requirements model for AI algorithms in functional safety-critical systems with an explainable self-enforcing network from a developer perspective (2024) · cites this paper as [75]
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Using thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414 · see citing works
Explanation in artificial intelligence: Insights from the social sciences
Miller, T. (2019) · Artificial Intelligence · doi:10.1016/j.artint.2018.07.007 · Cited by 5,302 · see citing works
Experimentation in Software Engineering
Wohlin, C., Runeson, P., Höst, M., Ohlsson, M. C., Regnell, B., & Wesslén, A. (2012) · doi:10.1007/978-3-642-29044-2 · Cited by 4,460 · see citing works
Wohlin, C. (2014) · Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering · doi:10.1145/2601248.2601268 · Cited by 4,234 · see citing works
Causal Diagrams for Epidemiologic Research
Greenland, S., Pearl, J., & Robins, J. M. (1999) · Epidemiology · doi:10.1097/00001648-199901000-00008 · Cited by 3,728 · see citing works
Causal diagrams for empirical research
PEARL, J. (1995) · Biometrika · doi:10.1093/biomet/82.4.669 · Cited by 2,355 · see citing works
Power to the People: The Role of Humans in Interactive Machine Learning
Amershi, S., Cakmak, M., Knox, W. B., & Kulesza, T. (2014) · AI Magazine · doi:10.1609/aimag.v35i4.2513 · Cited by 1,084 · see citing works
Lwakatare, L. E., Raj, A., Crnkovic, I., Bosch, J., & Olsson, H. H. (2020) · Information and Software Technology · doi:10.1016/j.infsof.2020.106368 · Cited by 241 · see citing works
Lwakatare, L. E., Raj, A., Bosch, J., Olsson, H. H., & Crnkovic, I. (2019) · Lecture Notes in Business Information Processing · doi:10.1007/978-3-030-19034-7_14 · Cited by 214 · see citing works
Software engineering for machine-learning applications: The road ahead
Khomh, F., Adams, B., Cheng, J., Fokaefs, M., & Antoniol, G. (2018) · IEEE Software · doi:10.1109/ms.2018.3571224 · Cited by 95 · see citing works
Planning for Natural Language Failures with the AI Playbook
Hong, M. K., Fourney, A., DeBellis, D., & Amershi, S. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445735 · Cited by 54 · see citing works
A Smart Virtual Assistant for Students
Mekni, M., Baani, Z., & Sulieman, D. (2020) · Proceedings of the 3rd International Conference on Applications of Intelligent Systems · doi:10.1145/3378184.3378199 · Cited by 44 · see citing works
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Generative Artificial Intelligence for Software Engineering—A Research Agenda
Nguyen‐Duc, A., Cabrero‐Daniel, B., Przybylek, A., Arora, C., Khanna, D., Herda, T., Rafiq, U., Melegati, J., Guerra, E., Kemell, K., et al. (2025) · Software: Practice and Experience · doi:10.1002/spe.70005 · Cited by 60 · see citing works
Self-citationKlüver, C., Greisbach, A., Kindermann, M., & Püttmann, B. (2024) · Security and Safety · doi:10.1051/sands/2024020 · Cited by 8 · see citing works
- Authors
- Ahmad, K., Abdelrazek, M., Arora, C., Bano, M., & Grundy, J.
- Affiliations
- Deakin University (AU)
- Monash University (AU)
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Corresponding author
- Ahmad, Khlood
- Venue
- Information and Software Technology
- Publisher
- Elsevier BV
- Published
- 2023-06
- Volume
- 158
- Pages
- 107176
- ISSN
- 0950-5849 (ISSN-L)
- OpenAlex
- W4321793865
- Cited by
- 132
- References
- 12
- Citations by year
- 2026: 35 · 2025: 42 · 2024: 37 · 2023: 18
- FWCI
- 30.98
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Information and Software Technology (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by)
- Figshare (submittedVersion, cc-by)
- arXiv (Cornell University) (cc-by)
- Funders
- Australian Research Council (FL190100035)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Software Engineering Methodologies
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Safety Systems Engineering in Autonomy
- Keywords
- requirements modeling, requirements engineering tools, autonomous vehicles, data requirements, AI ethics, trust in AI, explainability
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