Model engineering aims at applying systematic, standardized, and quantifiable methodologies to model life cycles for achieving minimum cost and maximum quality. This chapter addresses quality analysis, assessment and improvement approaches, and methodologies for graphical models. It introduces modeling guidelines, model checking and repair, model refactoring, and model testing with a focus on model engineering efforts as a part of modeling- and simulation-based systems development
Dynamic models are of central importance in engineering design for many fields of application but, w...
Quality Improvement is a formal approach to the analysis of performance and systematic efforts to im...
This paper is concerned with issues of model quality and model limitations in the context of applic...
Model engineering aims at applying systematic, standardized, and quantifiable methodologies to model...
In Model-Driven Engineering (MDE), models are the prime artifacts, and developing high-quality syste...
This paper presents some related work on quality frameworks and requirements for evaluating them. It...
This paper reviews definitions of model quality before introducing five properties of models that ar...
Model-Driven Engineering (MDE) is a software engineering discipline in which models play a central r...
Quality is often defined as fitness for purpose which is the key property to determine when evaluati...
Abstract-In Model-Driven Engineering (MDE) giving a precise defini- tion of quality models, identify...
Abstract. In the context of model-driven engineering, models act as the primary artifacts and are ev...
In the context of model-driven engineering, models act as the primary artifacts and are eventually t...
More attention is paid to the quality of models along with the growing importance of modelling in so...
Mathematical models play an important role in support of the preparation of policies and decision-ma...
The effectiveness of model-driven engineering relies on our ability to build high-quality models. Th...
Dynamic models are of central importance in engineering design for many fields of application but, w...
Quality Improvement is a formal approach to the analysis of performance and systematic efforts to im...
This paper is concerned with issues of model quality and model limitations in the context of applic...
Model engineering aims at applying systematic, standardized, and quantifiable methodologies to model...
In Model-Driven Engineering (MDE), models are the prime artifacts, and developing high-quality syste...
This paper presents some related work on quality frameworks and requirements for evaluating them. It...
This paper reviews definitions of model quality before introducing five properties of models that ar...
Model-Driven Engineering (MDE) is a software engineering discipline in which models play a central r...
Quality is often defined as fitness for purpose which is the key property to determine when evaluati...
Abstract-In Model-Driven Engineering (MDE) giving a precise defini- tion of quality models, identify...
Abstract. In the context of model-driven engineering, models act as the primary artifacts and are ev...
In the context of model-driven engineering, models act as the primary artifacts and are eventually t...
More attention is paid to the quality of models along with the growing importance of modelling in so...
Mathematical models play an important role in support of the preparation of policies and decision-ma...
The effectiveness of model-driven engineering relies on our ability to build high-quality models. Th...
Dynamic models are of central importance in engineering design for many fields of application but, w...
Quality Improvement is a formal approach to the analysis of performance and systematic efforts to im...
This paper is concerned with issues of model quality and model limitations in the context of applic...