23,380 research outputs found
A Taxonomy of Workflow Management Systems for Grid Computing
With the advent of Grid and application technologies, scientists and
engineers are building more and more complex applications to manage and process
large data sets, and execute scientific experiments on distributed resources.
Such application scenarios require means for composing and executing complex
workflows. Therefore, many efforts have been made towards the development of
workflow management systems for Grid computing. In this paper, we propose a
taxonomy that characterizes and classifies various approaches for building and
executing workflows on Grids. We also survey several representative Grid
workflow systems developed by various projects world-wide to demonstrate the
comprehensiveness of the taxonomy. The taxonomy not only highlights the design
and engineering similarities and differences of state-of-the-art in Grid
workflow systems, but also identifies the areas that need further research.Comment: 29 pages, 15 figure
A Model-Based Approach to Impact Analysis Using Model Differencing
Impact analysis is concerned with the identification of consequences of
changes and is therefore an important activity for software evolution. In
modelbased software development, models are core artifacts, which are often
used to generate essential parts of a software system. Changes to a model can
thus substantially affect different artifacts of a software system. In this
paper, we propose a modelbased approach to impact analysis, in which explicit
impact rules can be specified in a domain specific language (DSL). These impact
rules define consequences of designated UML class diagram changes on software
artifacts and the need of dependent activities such as data evolution. The UML
class diagram changes are identified automatically using model differencing.
The advantage of using explicit impact rules is that they enable the
formalization of knowledge about a product. By explicitly defining this
knowledge, it is possible to create a checklist with hints about development
steps that are (potentially) necessary to manage the evolution. To validate the
feasibility of our approach, we provide results of a case study.Comment: 16 pages, 5 figures, In: Proceedings of the 8th International
Workshop on Software Quality and Maintainability (SQM), ECEASST Journal, vol.
65 201
Scientists in the MIST: Simplifying Interface Design for End Users
We are building a Malleable Interactive Software Toolkit (MIST), a tool set and infrastructure to simplify the design and construction of dynamically-reconfigurable (malleable) interactive software. Malleable software offers the end-user powerful tools to reshape their interactive environment on the fly. We aim to make the construction of such software straightforward, and to make reconfiguration of the resulting systems approachable and manageable to an educated, but non-specialist, user. To do so, we draw on a diverse body of existing research on alternative approaches to user interface (UI) and interactive software construction, including declarative UI languages, constraint-based programming and UI management, reflection and data-driven programming, and visual programming techniques
A model-based approach to language integration
The interactions of several languages within a soft- ware system pose a number of problems. There is several anecdotal and empirical evidence supporting such concerns. This paper presents a solution to achieve proper language integration in the context of language workbenches and with limited effort. A simple example is presented to show how cross- language constraints can be addressed and the quality of the support attainable, which covers error-checking and refactoring. A research agenda is then presented, to support future work in the area of language integration, taking advantage of modern language workbenches features
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