Architectural mismatch or why it's hard to build systems out of existing parts
Proceedings of the 17th international conference on Software engineering
Experience assessing an architectural approach to large-scale systematic reuse
Proceedings of the 18th international conference on Software engineering
Self-organizing maps
Observations on the complexity of composable simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Simulation modeling with event graphs
Communications of the ACM
Achieving extensibility through product-lines and domain-specific languages: a case study
ACM Transactions on Software Engineering and Methodology (TOSEM)
Dealing with complexity: exploratory analysis enabled by multiresolultion, multiperspective modeling
Proceedings of the 32nd conference on Winter simulation
Component Software: Beyond Object-Oriented Programming
Component Software: Beyond Object-Oriented Programming
Visualizing coercible simulations
WSC '04 Proceedings of the 36th conference on Winter simulation
Approximating component selection
WSC '04 Proceedings of the 36th conference on Winter simulation
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Simulation-specific characteristics and software reuse
WSC '05 Proceedings of the 37th conference on Winter simulation
Ad Hoc Distributed Simulations
Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation
AIMSS: An Architecture for Data Driven Simulations in the Social Sciences
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
An online transportation system simulation testbed
Winter Simulation Conference
Capturing scientists’ insight for DDDAS
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
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Ultimate DDDAS success demands that DDDAS simulations be increasingly reconfigurable and adaptable to a growing variety of runtime sensor feedback. Because we expect a simulation's requirements to change during its lifetime, a new emphasis is placed on designing simulations that are prepared for transformation. In this paper, we address this new interest in designing for transformation. Our technology combines the specialized insight of simulation designers with the principled application of automation techniques to capitalize on untapped human and computational resources. In addressing simulation transformation issues that arise at design time, composition time, and runtime, we demonstrate how a semi-automated process impacts the entire simulation life cycle. The resulting suite of simulation transformation tools supports the crosscutting needs of DDDAS practitioners.