The problem is further exacerbated when a tool supports multiple domain-specific modeling languages that are defined on top of a base language such as UML. In this case, the tool customizations and visual elements necessary to support each language often interfere with each other and further exacerbate the modeling tool complexity. In this paper, we present a novel and systematic approach to reduce the complexity of design and modeling tools by introducing an interpretation and adaptation of the ISO standard on architecture description specific to the software domain.
We demonstrate this approach by providing a working implementation as part of the Papyrus opensource modeling framework. In this approach, we leverage the notions of Architecture Contexts and Architecture Viewpoints to enable heterogeneous UML-based languages to be independently supported and help contextualize the exposed tool capabilities.
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This paper presents the ISO interpretation and adaptation to software design and architecture and a case study with several definitions of architecture contexts. The implementation of this novel approach demonstrates the ability for multiple modeling languages and notations to coexist without interference and provides significant reduction in the exposed capabilities in the UI.
Reducing design and modeling tool complexity has a potential to significantly broaden the adoption of modeling and design practices in the software engineering sphere. Operation contracts are a popular description means in behavioral system modeling. Pre- and postconditions are used to describe the effects on model elements such as attributes, links, etc. However, it is usually not clearly stated what model elements may be affected by an operation call and what shall remain unchanged—although this information is essential in order to obtain a comprehensive description.
A promising solution to this so-called frame problem is to define additional frame conditions. However, properly defining frame conditions which complete the model description in the intended way can be a non-trivial, tedious, and error-prone task. While in general there are several tools and methods for obtaining formal model descriptions and also a broad variety of approaches for the validation and verification of the generated models, corresponding methods for frame conditions have not received significant attention so far.
In this work, we provide a comprehensive overview of recently proposed approaches that close this gap and support the designer in generating and validating frame conditions. Model transformation is a formal approach for modelling the behavior of software systems. Over the past few years, graph based modeling of software systems has gained significant attention as there are numerous techniques available to formally specify constraints and the dynamics of systems.
Graph transformation rules are used to model the behavior of software systems which is the core element in model driven software engineering. However, in general, the application of graph transformation rules cannot guarantee the correctness of model transformations. In this paper, we propose to use a graph transformation technique that guarantees the correctness of transformations by checking required and forbidden graph patterns. The proposed technique is based on the application of conformance preserving transformation rules which guarantee that produced output models conform to their underlying metamodel.
To determine if a rule is conformance preserving we present a new algorithm for checking conformance preserving rules with respect to a set of graph constraints. We also present a formal proof of the soundness of the algorithm.
Area 2 - Methodologies, Processes and Platforms
We apply our technique to homogeneous model transformations where input and output models must conform to the same meta-model. The algorithm relies on locality of a constrained graph to reduce the computational cost. When one wants to design a language and related supporting tools, two distinct technical spaces can be considered. On the one hand, model-driven tools like Xtext or MPS automatically provide a compilation infrastructure and a full-featured integrated development environment.
On the other hand, a formal workbench like a proof assistant helps in the design and verification of the language specification. But these two technical spaces can hardly be used in conjunction.riroocomtge.gq
Model-Driven Engineering and Software Development | punegtomsdastkee.ml
In the paper, we propose an automatic transformation that takes an input Ecore metamodel, and generates a set of inductive types in Gallina and Vernacular, the language of the Coq proof assistant. By doing so, it is guaranteed that the same abstract syntax as the one described by the Ecore metamodel is used, e.
Improving over previous state of the art, our transformation supports structural elements of Ecore, with no restriction. But our transformation is not injective. A benchmark evaluation shows that our transformation is effective, including in the case of real-world metamodels like UML and OCL. We also validate our transformation in the context of an ad-hoc proof-carrying code infrastructure.
Model-Driven Architecture in Practice
Modern software systems are so complex that at times engineers find it difficult to understand why a system behaves as it does under certain conditions, and, in particular, which conditions trigger specific behavior. This adds a significant burden to tasks like debugging or maintenance. Therefore we propose a semi- automatic trace analysis method. It incorporates automatic techniques for identifying interesting traces, or subsequences within traces, from large sets of long execution traces.
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Developers are interested in knowing whether certain specification properties hold: if a property holds, what are possible executions which are evidence of this? If a property does not hold, what are examples that violate it? Scenario-based specifications are well-suited to generating meaningful execution traces due to being based on events which are meaningful in the domain of the system under design. A key observation we made was that interesting properties of a trace are often encoded in just one or very few scenarios. These concise scenarios, describing desired or forbidden behavior, are often already part of the specification or should be added to it as they encode implicitly made assumptions.
Models of the composite structure of a software system describe its components, how they are connected or contain each other, and how they communicate using ports and connectors. Although composite structure is one of the UML diagram types, it tends to be complex to use, or requires particular library support, or suffers from weak code generation, particularly in open source tools.
Our previous work has shown that software modelers can benefit from a textual notation for UML concepts as well as from high-quality code generation, both of which we have implemented in Umple. This paper explains our extensions to Umple in order create a simple textual notation and comprehensive code generation for composite structure. A particular feature of our approach is that developers do not always need to explicitly encode protocols as they can be in many cases inferred.
Growing software size and complexity paired with its application in increasingly safety-critical environments requires to follow strict software development processes. They demand extensive documented development and verification activities as well as the creation and management of a huge number of artefacts. Beyond classical build automation functionality, the tool accelerates achieving a software design compliant to standards and evaluates completeness of process artefacts, their consistency, and correctness at a central place.
In literature, a considerable volume of research has been devoted to develop frameworks that facilitate conducting performance analysis during the development life cycle. However, less attention has been given to test generation and test selection criteria for performance evaluation. In this work, a model based test generation methodology is proposed to evaluate the impact of the interaction of the environment, the wireless network, and the app configurations on the performance of a mobile streaming app and thereby on the experience of the end user.
The methodology steps, inputs, and outputs are explained using an app example. Oscar Pastor and Juan Carlos Molina combine a sound theoretical approach based on more than 10 years research with industrial strength and practical software development experience. They present a software process based on model transformation technology, thus making the statement 'the model is the code' instead of the common 'the code is the model' finally come true. They clearly explain which conceptual primitives should be present in a system specification, how to use UML to properly represent this subset of basic conceptual constructs, how to identify just those diagrams and modeling constructs that are actually required to create a meaningful conceptual schema, and, finally, how to accomplish the transformation process between the problem space and the solution space.
Their approach is fully supported by commercially available tools, and the subsequent software production process is dramatically more efficient than todays conventional software development processes, saving many man-days of work. For software developers and architects, project managers, and people responsible for quality assurance, this book introduces all the relevant information required to understand and put MDA into industrial practice. Review This Product No reviews yet - be the first to create one! Need help? Partners MySchool Discovery.
Subscribe to our newsletter Some error text Name. It is promoting MDA as a way to develop systems that more accurately satisfy customers' needs, and that offer more flexibility in system evolution. The MDA approach builds on earlier system specification standards work, and it provides a comprehensive interoperability framework for defining interconnected systems. To support these principles, the OMG has defined a specific set of layers and transformations that provide a conceptual framework and vocabulary for MDA.
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For example, a model may be a PIM with respect to choice of communication middleware if that model does not prescribe a particular choice of middleware technology. This is illustrated in Figure 2.