Operation-based Model Differencing meets State-based Model Comparison
نویسندگان
چکیده
The computation of a difference between two models is the most basic function of model versioning tools. Two fundamental approaches to obtain model differences have been proposed: Operation-based differencing and state-based comparison. They are commonly regarded as disjoint and thus evolved mostly independent of each other. Recent advances in model comparison, which lift low-level differences to invocations of complex editing commands, brought both approaches closer together. The overall goal of the CVSM working session proposed in this paper is to analyse common challenges and to derive conceptual and tooling-related issues which offer the potential for future collaborations of researchers originating from working groups of both approaches.
منابع مشابه
Dynamic Performance Comparison of Two Kalman Filters for Rate Signal Direct Modeling and Differencing Modeling for Combining a MEMS Gyroscope Array to Improve Accuracy
In this paper, the performance of two Kalman filter (KF) schemes based on the direct estimated model and differencing estimated model for input rate signal was thoroughly analyzed and compared for combining measurements of a sensor array to improve the accuracy of microelectromechanical system (MEMS) gyroscopes. The principles for noise reduction were presented and KF algorithms were designed t...
متن کاملNumerical Simulation and Parametric Reduced Order Modeling of the Natural Convection of Water-Copper Nanofluid
In this article, a coupled computational framework is presented for the numerical simulation of mass transfer under the effects of natural convection phenomena in a field contains water-copper Nano-fluid. This CFD model is build up based on accurate algorithms for spatial derivatives and time integration. The spatial derivatives have been calculated using first order upwind and second order cen...
متن کاملOperation Scheduling of MGs Based on Deep Reinforcement Learning Algorithm
: In this paper, the operation scheduling of Microgrids (MGs), including Distributed Energy Resources (DERs) and Energy Storage Systems (ESSs), is proposed using a Deep Reinforcement Learning (DRL) based approach. Due to the dynamic characteristic of the problem, it firstly is formulated as a Markov Decision Process (MDP). Next, Deep Deterministic Policy Gradient (DDPG) algorithm is presented t...
متن کاملSemantic Model Differencing Based on Execution Traces
Managing the evolution of software artifacts is a crucial issue in software engineering. As in the software engineering paradigm model-driven engineering (MDE), the main software artifacts are models, managing the evolution of models constitutes a key concern in MDE. One important technique in this realm is model differencing, which is concerned with identifying differences among different vers...
متن کاملPerformance Comparison of Predictive Controllers in Optimal and Stable Operation of Wastewater Treatment Plants
Any proper operation could be translated as a constrained optimization problem inside a WWTP, whose nonlinear behavior renders its control problems quite attractive for performance of multivariable optimization–based control technique algorithms, such as NMPC. The main advantage of this control technique lies in its ability to handle model nonlinearity as well as various types of constraints on...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Softwaretechnik-Trends
دوره 32 شماره
صفحات -
تاریخ انتشار 2012