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Automated Configura...
Automated Configuration Synthesis for Machine Learning Models: A Git-Based Requirement and Architecture Management System
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- Alshriaf, Abdullatif, 1995 (author)
- Göteborgs universitet,University of Gothenburg,Chalmers tekniska högskola,Chalmers University of Technology
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- Heyn, Hans-Martin, 1987 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Göteborgs universitet,University of Gothenburg
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- Knauss, Eric, 1977 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Göteborgs universitet,University of Gothenburg
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(creator_code:org_t)
- 2024
- 2024
- English.
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In: Proceedings of the IEEE International Conference on Requirements Engineering. - 2332-6441 .- 1090-705X. ; , s. 488-491
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Abstract
Subject headings
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- The design of complex distributed systems typically follows a hierarchical process, supported by highly specialized views for decomposing the design task. Requirements and architec-ture often evolve simultaneously, requiring an architectural framework that supports integrated and collaborative design, including non-functional requirements and quality views. The framework must ensure the traceability of design decisions in order to build safety cases. Integrating requirements into software development is vital for aligning intended functionality with implemented code. However, extracting data from semi-formal requirements and maintaining alignment poses challenges due to its ambiguity and variability making extracting consistent information challenging. Aligning these requirements with other project artifacts can also be difficult due to interpretation differences, often requiring manual effort and leading to complexity and potential inconsistencies in development [1].
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Keyword
- machine learning
- configuration
- modelling
- requirements
Publication and Content Type
- kon (subject category)
- ref (subject category)
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