628 research outputs found
Model Matching Challenge: Benchmarks for Ecore and BPMN Diagrams
In the last couple of years, Model Driven Engineering (MDE) gained a
prominent role in the context of software engineering. In the MDE paradigm,
models are considered first level artifacts which are iteratively developed by
teams of programmers over a period of time. Because of this, dedicated tools
for versioning and management of models are needed. A central functionality
within this group of tools is model comparison and differencing. In two
disjunct research projects, we identified a group of general matching problems
where state-of-the-art comparison algorithms delivered low quality results. In
this article, we will present five edit operations which are the cause for
these low quality results. The reasons why the algorithms fail, as well as
possible solutions, are also discussed. These examples can be used as
benchmarks by model developers to assess the quality and applicability of a
model comparison tool for a given model type.Comment: 7 pages, 7 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
A systematic literature review on Energy Efficiency in Cloud Software Architectures
Cloud-based software architectures introduce more complexity and require new competences for migration, maintenance, and evolution. Although cloud computing is often considered as an energy-efficient technology, the implications of cloud-based software on energy efficiency lack scientific evidence. At the same time, energy efficiency is becoming a crucial requirement for cloud service provisioning, as energy costs significantly contribute to the Total Cost of Ownership (TCO) of a data center. In this paper, we present the results of a systematic literature review that investigates cloud software architectures addressing energy efficiency as a primary concern. The aim is to provide an analysis of the state-of-the-art in the field of energy-efficient software architectures
Developing a Generic Debugger for Advanced-Dispatching Languages
Programming-language research has introduced a considerable number of advanced-dispatching mechanisms in order to improve modularity. Advanced-dispatching mechanisms allow changing the behavior of a function without modifying their call sites and thus make the local behavior of code less comprehensible. Debuggers are tools, thus needed, which can help a developer to comprehend program behavior but current debuggers do not provide inspection of advanced-\ud
dispatching-related language constructs. In this paper, we present a debugger which extends a traditional Java debugger with the ability of debugging an advanced-dispatching language constructs and a user interface for inspecting this
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Creative User-Centered Visualization Design for Energy Analysts and Modelers
We enhance a user-centered design process with techniques that deliberately promote creativity to identify opportunities for the visualization of data generated by a major energy supplier. Visualization prototypes developed in this way prove effective in a situation whereby data sets are largely unknown and requirements open – enabling successful exploration of possibilities for visualization in Smart Home data analysis. The process gives rise to novel designs and design metaphors including data sculpting. It suggests: that the deliberate use of creativity techniques with data stakeholders is likely to contribute to successful, novel and effective solutions; that being explicit about creativity may contribute to designers developing creative solutions; that using creativity techniques early in the design process may result in a creative approach persisting throughout the process. The work constitutes the first systematic visualization design for a data rich source that will be increasingly important to energy suppliers and consumers as Smart Meter technology is widely deployed. It is novel in explicitly employing creativity techniques at the requirements stage of visualization design and development, paving the way for further use and study of creativity methods in visualization design
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