Juggling in Free Fall: Uncertainty Management Aspects of Domain Analysis Methods
IPMU'94 Selected papers from the 5th International Conference on Processing and Management of Uncertainty in Knowledge-Based Systems, Advances in Intelligent Computing
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ACM Transactions on Software Engineering and Methodology (TOSEM)
A Framework for Evaluating Software Technology
IEEE Software
Automatic Generation of Hierarchical Taxonomies from Free Text Using Linguistic Algorithms
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ICSR '98 Proceedings of the 5th International Conference on Software Reuse
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Generating domain representations using a relationship model
Information Systems
A knowledge-based framework for extracting components in agile systems development
Information Technology and Management
Integrating formal methods with domain analysis
Journal of Computational Methods in Sciences and Engineering - Special Supplement Issue in Section A and B: Selected Papers from the ISCA International Conference on Software Engineering and Data Engineering, 2009
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MobiLine: A Nested Software Product Line for the domain of mobile and context-aware applications
Science of Computer Programming
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Researchers and practitioners are looking for systematic ways of comparing domain analysis (DA) methods. Comparisons have often focused on linkage between DA methods and related technologies such as systems modeling. Less attention has been paid to comparing DA methods in terms of certian core methodological issues, including problems of scoping, contextualizing, descriptive vs. prescriptive modeling, and formalized models of variability. This paper presents key aspects of Organization Domain Modeling (ODM), a systematic domain analysis method structured in terms of a core domain modeling life cycle directly addressing these methodological concerns.