Motivation
Computational Science techniques are increasingly being applied in Software
Engineering. For example, with the creation of large empirical databases of
metrics collected from software projects such as the ISBSG (International
Software Benchmarking Standard Group) or from open source software
repositories, the development of new environments such as grid or parallel
environments have stimulated new research on estimation and decision models
related to Software Engineering applying a range of computational techniques.
Examples of computational techniques applied to Software Engineering include
genetic algorithms, Bayesian networks, system dynamics, visualization
techniques etc. all with their associated tools. Many emergent issues are
subject to research efforts combining both computational techniques and
Software Engineering.
Objectives
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To bring together researchers and practitioners from various backgrounds
(computational intelligence, software engineers)
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To steer discussion and debate on various aspects and issues related to
applying computational intelligence techniques to software engineering
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To open research directions that are deemed essential by the researchers in the
field and industry