Some of these toolkits (only those whose inclusion had an effect on the overall direction of the Synergia framework) are described in later sections.
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Additional frameworks and toolkits are used for visualization, parallelization, and data analysis. In the Synergia framework, the mxyzptlk/beamline libraries are used primarily to generate transfer maps from MAD language descriptions. The mxyzptlk/beamline libraries provide support for a broad base of accelerator simulation and modeling. The IMPACT library provides a parallel implementation of particle propagation, RF modeling, and parallel space-charge calculations. Currently, the physics simulation routines reside in the IMPACT and mxyzptlk/beamline libraries. This paper describes the ongoing effort to create a more flexible and extensible architecture.
RF ONLINE SYNERGIA SOFTWARE
The resulting software architecture then will be more amenable to incorporating new functionality, in the form of new physics modules, new methods for extracting meaningful knowledge from simulations, and new components that make developing simulations more intuitive and effective. The overriding software engineering goal is to take the existing software pieces and create a more flexible and extensible whole. Like any non-trivial software solution, there is a significant ongoing software development effort associated with the Synergia project. OVERVIEW The Synergia beam simulation framework is comprised of a wide variety of software libraries and toolkits. Recent efforts are focused on the refactoring of the IMPAT-Fortran 90 codes in order to expose more loosely coupled interfaces to the Python interface framework. At the heart of the software development effort is the integration of two extant object-oriented accelerator modeling libraries-IMPACT written in Fortran 90 and mxyzptlk written in C++-so that they be steered by a third, more flexible human interface framework, written in Python. Synergia is a 3-D, parallel, particle-in-cell beam dynamics simulation toolkit. We study behavioural preorders, with a special focus on the testing preorder as it seems most suited to our purpose. In this work we aim to develop a formal methodology for refactoring Erlang code. Erlang refactoring tools as commonly use approximation techniques which do not guarantee behaviour while some other works propose the use of formal methodologies.
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We rst survey solutions to this problem proposed in the literature. This leads to lack of trust in automated refactoring tools. While using automated refactoring tools is less error-prone than performing refactorings manually, automated refactoring tools still cannot guarantee that the refactoring is correct, i.e., program behaviour is preserved.
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Refactoring is code restructuring that improves the code but does not change behaviour.
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Such systems are often mission critical, making system correctness vital. Erlang is an actor-based programming language used extensively for building concurrent, reactive systems that are highly available and suer minimum downtime.