This article proposes an approach to a hybrid software process simulation modeling (SPSM) using discrete event system specification (DEVS) formalism, which implements the dynamic structure and discrete characteristics of the software development process. Many previous researchers on hybrid SPSM have described both discrete and continuous aspects of the software development process to provide more realistic simulation models. The existing hybrid models, however, have not fully implemented the feedback loop mechanism of the system dynamics.We define the DEVS Hybrid SPSM formalism by extending DEVS to the hybrid SPSM domain. Our hybrid SPSM approach uses system dynamics modeling to convey details concerning activity behaviors and managerial policies, while discrete event modeling controls activity start/completion and sequence. This approach also provides a clear specification, an explicit extension point to extend the simulation model, and a reuse mechanism. We will demonstrate a Waterfall-like hybrid software process simulation model using the DEVS Hybrid SPSM formalism.

This article describes further efforts to employ the Systems EntityStructure/Model Base framework as a workable foundation for model base management in advanced simulation environments and workbenches. Such management facilities aim to provide a sharable repository of models and a means of assisting users to synthesize models to satisfy the objectives of the current study. In our approach, we view a multifaceted system as needing many models on which to base control, management, design and other interventions. These models differ in level of abstraction and in formalism. Concepts and tools are needed to organize the models into a coherent whole. This paper deals with the management of model bases using system entity structure concepts. We show how the pruning process supports reuse of previously pruned structures. Concepts of context-sensitive pruning and partitioned entity structure bases are introduced to promote model base coherence and evolvability.

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The fleet anti-air defense system is growing increasingly complex. This complexity requires a complicated doctrine for its operators, and the doctrine needs to be analyzed under what-if scenarios. The most ideal analysis method is investigating live combat outcomes, yet such events rarely occur. Hence, we develop a discrete event-based model, perform battle experiments of fleet anti-air defense, and analyze the results. This battle experiment resulted in a better fleet formation against air threats and recommendations for weapon loads on warships.

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