Goal-directed requirements acquisition
6IWSSD Selected Papers of the Sixth International Workshop on Software Specification and Design
Requirements monitoring in dynamic environments
RE '95 Proceedings of the Second IEEE International Symposium on Requirements Engineering
Towards Modeling and Reasoning Support for Early-Phase Requirements Engineering
RE '97 Proceedings of the 3rd IEEE International Symposium on Requirements Engineering
Software evolution: background, theory, practice
Information Processing Letters - Special issue: Contribution to computing science
Towards requirements-driven autonomic systems design
DEAS '05 Proceedings of the 2005 workshop on Design and evolution of autonomic application software
Requirements traceability in model-driven development: Applying model and transformation conformance
Information Systems Frontiers
Genie: supporting the model driven development of reflective, component-based adaptive systems
Proceedings of the 30th international conference on Software engineering
Requirements Tracing to Support Change in Dynamically Adaptive Systems
REFSQ '09 Proceedings of the 15th International Working Conference on Requirements Engineering: Foundation for Software Quality
Requirements reflection: requirements as runtime entities
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
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The complexity of environments faced by dynamically adaptive systems (DAS) means that the RE process will often be iterative with analysts revisiting the system specifications based on new environmental understanding product of experiences with experimental deployments, or even after final deployments. An ability to trace backwards to an identified environmental assumption, and to trace forwards to find the areas of a DAS's specification that are affected by changes in environmental understanding aids in supporting this necessarily iterative RE process. This paper demonstrates how claims can be used as markers for areas of uncertainty in a DAS specification. The paper demonstrates backward tracing using claims to identify faulty environmental understanding, and forward tracing to allow generation of new behaviour in the form of policy adaptations and models for transitioning the running system.