Software Engineering: A Hands-On Approach
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The standardization of the DCP allows for a modular and interoperable development between system providers and integrators. In the end, this will lead to more efficient product development and testing. This tutorial highlights some application possibilities for industry and science. The standard document, a reference implementation, and accompanying materials are available under permissive open-source licenses.
Attendees of this tutorial may start instantly to adopt this novel technology to integrate their models or real-time systems with low effort. Many use cases require realtime execution of transformations: users expects analysis results to appear immediately as soon as possible, and an important success factor for the adoption of DSLs is that users can simulate and test their models immediately. If transformations are to play a role in this scenario, then the transformations have to run in realtime.
[PDF] Extreme Software Engineering A Hands-On Approach - Semantic Scholar
MPS does not support transformations for any other use case. Over the last year we have been developing Shadow Models, an open source, incremental model transformation infrastructure for MPS. It supports efficient incremental execution of transformations triggered by change events of the input model, execution of analyses or interpreters on the result, and lifting of results back up to the input model.
In this tutorial I will show how realtime transformations influence how we think about language design and implementation.
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In addition, I will demo how shadow models work and how they integrate with MPS. After an organization makes the decision to adopt model-based systems engineering MBSE , it must go a long way before this decision proves right. There are many obstacles in this way, like stories about unsuccessful MBSE applications, insufficient information on how to proceed, and employee resistance to the cultural change to name a few.
Neither of them is a true issue, if suitable enablers for MBSE adoption are chosen. However, SysML is neither a framework nor a method: it provides no information about the modeling process and thus must be combined with some methodology to become truly applicable. Its framework is organized in a grid layout, where each cell describes one or more artifacts to deliver throughout the modeling process. The introduction of the approach is followed by hands on exercises, where every attendee takes part in developing a sample system model by applying the MBSE Grid method.
The development of domain specific modeling languages has experienced a growing interest in the past years in industry and academia. This evolution can be attributed to the need to design, describe and analyze complex information systems in a coherent and consistent manner using a specific vocabulary and terminology from different background: model artefacts are not observed isolated anymore for a specific purpose, but need to be understood in the context of an organization ecosystem. In such an environment, domain specificity enables the modelers to express focused models using tailored domain concepts that are commonly understood by human stakeholders and at the after semantic transformation enable machine processing to generate model value.
To enable such a setting, platform support for conceptual modeling is required that adapts iteratively to changing circumstances and domain needs. This tutorial introduces the open-source metamodeling platform ADOxx as an experimentation environment for researchers and practitioners to realize individual meta-models and model processing functionalities for domain-specific conceptual modeling methods as modeling tools. Specific emphasis is given to the practical nature of the tutorial: participants are encouraged to realize their individual modeling tools in a hands-on setting and experiment with the capabilities of ADOxx to implement meta-models and model processing functionalities from scratch, specialize existing abstract fragments or compose and integrate available outcomes provided by the ADOxx.
The prototypes realized as part of the tutorial are available thereafter for further refinement, assessment and evaluation. RobMoSys already established a first round of modeling structures and according open source Eclipse-based model-driven tooling for robotics.
These form the baseline for the RobMoSys real world application pilots. Both, the modeling foundations as well as the tooling baselines, are extended in a community effort supported by cascade funding. The second open call is underway. The aim is to foster a closer interaction between the MODELS community and the robotics model-driven software engineering community. For this, the tutorial provides insights into the current state-of-the-art of model-driven software engineering for robotics and according tools as driven by the robotics domain and consolidated via RobMoSys.
It is also about explicating the special needs of robotics and discussing these with the MDE community. Basically, this should attract more researchers towards challenging robotics problems.
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It should also allow practitioners to better understand what kind of model-driven tools are already now mature enough to be used for software engineering in robotics. Statecharts, introduced by Harel in , is used to specify complex, timed, reactive, autonomous discrete-event systems. It is an extension of Timed Finite State Automata, adding depth, orthogonality, broadcast communication and history.
Daniel W. Palmer is an associate professor at John Carroll University where he has been teaching Software Engineering and Computer Science for eight years. Currently, he is the director of the Swarm Research Laboratory at John Carroll University, investigating swarm intelligence and emergent behavior. Martin series , Robert C. A developer, trainer, and consultant, he has been teaching and writing about Java since In addition to contributing to four previous computer science books, Daniel has also written articles and tutorials for the developer sites at Sun, IBM, BEA, and Apple.
Daniel W. Palmer is an associate professor at John Carroll University where he has been teaching Software Engineering and Computer Science for eight years. Currently, he is the director of the Swarm Research Laboratory at John Carroll University, investigating swarm intelligence and emergent behavior.
Software Engineering - A Hands on Approach [PDF] [DS101]
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