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Using MILOS for dependency management in UML-based SE-processes

Authors: Martin Schaaf; Fawsy Bendeck; Philip Nour;

Using MILOS for dependency management in UML-based SE-processes

Abstract

The Unified Modeling Language (UML) plays an important role in software engineering. Several life-cycle process models that utilize the UML have been proposed, supported by a variety of development tools Usually, these provide just a little help for the management of the software project itself. This can be accomplished by using the MILOS system that integrates process modeling, project planning, and project enactment technologies for generic processes. So far, the flexible workflow engine allows refining and changing process models during project execution but treats specific products like UML documents as "black-box". The work presented here results from the observation that products, processes, and specific roles within a process should not be considered independently. We propose that the combination of two flexible technologies like MILOS and UML, together with the ability for appropriate tailoring is especially useful in highly dynamic domains like e-business engineering. Therefore, we present an approach that integrates MILOS and the UML in a way that a project manager can benefit from the change management capabilities of MILOS.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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