Information systems engineering: an introduction
Information systems engineering: an introduction
Toward Reference Models for Requirements Traceability
IEEE Transactions on Software Engineering
Information modeling and relational databases: from conceptual analysis to logical design
Information modeling and relational databases: from conceptual analysis to logical design
Traceability between models and texts through terminology
Data & Knowledge Engineering
Explaining Software Developer Acceptance of Methodologies: A Comparison of Five Theoretical Models
IEEE Transactions on Software Engineering
Selected Papers from the Symposium on Conceptual Modeling, Current Issues and Future Directions
Future Directions of Conceptual Modeling
Selected Papers from the Symposium on Conceptual Modeling, Current Issues and Future Directions
Change-Oriented Requirements Traceability: Support for Evolution of Embedded Systems
ICSM '02 Proceedings of the International Conference on Software Maintenance (ICSM'02)
Improving Requirements Tracing via Information Retrieval
RE '03 Proceedings of the 11th IEEE International Conference on Requirements Engineering
An information retrieval approach to ontology mapping
Data & Knowledge Engineering - Special issue: Application of natural language to information systems (NLDB04)
Conceptual schema-centric development: a grand challenge for information systems research
CAiSE'05 Proceedings of the 17th international conference on Advanced Information Systems Engineering
Domain model-driven software engineering: A method for discovery of dependency links
Information and Software Technology
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In practice dependency management often suffers from labor intensity and complexity in creating and maintaining the dependency relations Our method targets projects, where developers are geographically distributed and a wide range of tools is used A conceptual domain model is used to inter-relate the development objects and to automate dependency link discovery The proposed method is based on association of development objects with concepts from domain model These associations are used to compute dependency among development objects, and are stepwise refined to direct dependency links. A preliminary empirical evaluation of the method is conducted The method is evaluated both on performance and psychological variables The evaluation has been performed in laboratory settings using two real cases The results, although preliminary, provide positive evidence about the ability of our method to automate discovery of dependency relations, the analysis indicates that the method is perceived to be easy to use and useful by its potential users.