Support tools for the construction of discrete optimization software systems

1993 ◽  
Vol 28 (4) ◽  
pp. 599-606
Author(s):  
G. A. Potapchuk
Keyword(s):  
Discrete Optimization ◽  
Software Systems ◽  
Optimization Software ◽  
Support Tools

Supporting Model-Driven Development

2017 ◽  
pp. 396-432
Author(s):  
Rita Suzana Pitangueira Maciel ◽  
Ana Patrícia F. Magalhães Mascarenhas ◽  
Ramon Araújo Gomes ◽  
João Pedro D. B. de Queiroz
Keyword(s):  
Software Engineering ◽  
Process Models ◽  
Software Systems ◽  
Model Driven Development ◽  
Model Driven ◽  
Process Specification ◽  
Process Enactment ◽  
Support Tools ◽  
Important Approach ◽  
Engineering Environment

The adoption of Model-Driven Development (MDD) is increasing and it is widely recognized as an important approach for building software systems. In addition to traditional development process models, an MDD process requires the selection of metamodels and mapping rules for the generation of the transformation chain which produces models and application code. However, existing support tools and transformation engines for MDD do not address different kinds of software process activities, such as application modeling and testing, to guide the developers. Furthermore, they do not enable process modeling nor the (semi) automated execution of activities during process enactment. MoDErNE (Model Driven Process-Centered Software Engineering Environment) uses process-centered software engineering environment concepts to improve MDD process specification and enactment by using a metamodeling foundation. This chapter presents model driven development concept issues and the MoDErNE approach and environment. MoDErNE aims to facilitate MDD process specification and enactment.

Basic Study on Performance Comparison of Structural Optimization Software Systems

2014 ◽  
Vol 38 (12) ◽  
pp. 1403-1413 ◽  
Author(s):  
Wook Han Choi ◽  
Cheng Guo Huang ◽  
Gyung-Jin Park ◽  
Tai-Kyung Kim
Keyword(s):  
Structural Optimization ◽  
Performance Comparison ◽  
Software Systems ◽  
Basic Study ◽  
Optimization Software

Benefits of Plugin-Based Heuristic Optimization Software Systems

2007 ◽  
pp. 747-754 ◽  
Author(s):  
Stefan Wagner ◽  
Stephan Winkler ◽  
Erik Pitzer ◽  
Gabriel Kronberger ◽  
Andreas Beham ◽  
...  
Keyword(s):  
Heuristic Optimization ◽  
Software Systems ◽  
Optimization Software

Supporting Model-Driven Development

2014 ◽  
pp. 176-212 ◽  
Author(s):  
Rita Suzana Pitangueira Maciel ◽  
Ana Patrícia F. Magalhães Mascarenhas ◽  
Ramon Araújo Gomes ◽  
João Pedro D. B. de Queiroz
Keyword(s):  
Software Engineering ◽  
Process Models ◽  
Software Systems ◽  
Model Driven Development ◽  
Model Driven ◽  
Process Specification ◽  
Process Enactment ◽  
Support Tools ◽  
Important Approach ◽  
Engineering Environment

The adoption of Model-Driven Development (MDD) is increasing and it is widely recognized as an important approach for building software systems. In addition to traditional development process models, an MDD process requires the selection of metamodels and mapping rules for the generation of the transformation chain which produces models and application code. However, existing support tools and transformation engines for MDD do not address different kinds of software process activities, such as application modeling and testing, to guide the developers. Furthermore, they do not enable process modeling nor the (semi) automated execution of activities during process enactment. MoDErNE (Model Driven Process-Centered Software Engineering Environment) uses process-centered software engineering environment concepts to improve MDD process specification and enactment by using a metamodeling foundation. This chapter presents model driven development concept issues and the MoDErNE approach and environment. MoDErNE aims to facilitate MDD process specification and enactment.

Modeling Community Recovery from Earthquakes

2006 ◽  
Vol 22 (2) ◽  
pp. 439-458 ◽  
Author(s):  
Scott B. Miles ◽  
Stephanie E. Chang
Keyword(s):  
Decision Support ◽  
Focus Group ◽  
Conceptual Model ◽  
Model Development ◽  
Puget Sound ◽  
Software Systems ◽  
Computer Simulation Model ◽  
Community Recovery ◽  
Support Tools ◽  
Recovery Models

This paper sets out the foundations for developing robust models of community recovery from earthquake disasters. Models that anticipate post-disaster trajectories are complementary to loss estimation models that predict damage and loss. Such models can serve as important decision support tools for increasing community resilience and reducing disaster vulnerability. The paper first presents a comprehensive conceptual model of recovery. The conceptual model enumerates important relationships between a community's households, businesses, lifeline networks, and neighborhoods. The conceptual model can be operationalized to create a numerical model of recovery. To demonstrate this, we present a prototype computer simulation model and graphical user interface. As the model is intended for decision support, it is important to involve potential users in model development. We conducted a focus group involving Puget Sound, Washington, area disaster management practitioners to elicit local insight about community recovery and model development needs, using the prototype as stimulus. Important focus group issues included potential model inputs, useful recovery indicators, potential uses of recovery models, and suitable types of software systems.

Comparison study of some commercial structural optimization software systems

2016 ◽  
Vol 54 (3) ◽  
pp. 685-699 ◽  
Author(s):  
Wook-han Choi ◽  
Jong-moon Kim ◽  
Gyung-Jin Park
Keyword(s):  
Structural Optimization ◽  
Software Systems ◽  
Comparison Study ◽  
Optimization Software
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