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A Pattern-Based Approach to Augmenting Service Engineering with Formal Analysis, Transformation and Dynamicity


@INPROCEEDINGS{wirsing-et-al:isola:2008,
  author = {Martin Wirsing and Matthias H{\\"o}lzl and Lucia Acciai and Allan Clark and Federico Banti and Alessandro Fantechi
and Stephen Gilmore and Stefania Gnesi and Laszlo G{\\"o}nczy and
Nora Koch and Alessandro Lapadula and Philip Mayer and Franco Mazzanti and Rosario Pugliese and Andreas Schroeder
and Francesco Tiezzi and Mirco Tribastone and D{\\'a}niel Varr{\\'o} },
  title = {{A Pattern-Based Approach to Augmenting Service Engineering with Formal Analysis, Transformation and Dynamicity}},
  booktitle = {Proc. of 3rd International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (ISOLA 2008), Porto Sani, Greece},
  year = {2008},
  series = {{LNCS}},
  publisher = {{Springer-Verlag}},
  partner = {LMU,CIR,DSIUF,ISTI,UEDIN},
  status = {public},
  task = {T7.3},
  abstract ={The IST-FET Integrated Project SENSORIA is developing a novel
comprehensive approach to the engineering of service-oriented software systems
where foundational theories, techniques and methods are fully integrated into
pragmatic software engineering processes. The techniques and tools of SENSORIA
encompass the whole software development cycle, from business and
architectural design, to quantitative and qualitative analysis of system properties,
and to transformation and code generation. The SENSORIA approach takes
also into account reconfiguration of service-oriented architectures (SOAs) and
re-engineering of legacy systems.
In this paper we give first a short overview of SENSORIA and then present a
pattern language for augmenting service engineering with formal analysis, transformation
and dynamicity. The patterns are designed to help software developers
choose appropriate tools and techniques to develop service-oriented systems with
support from formal methods. They support the whole development process, from
the modelling stage to deployment activities and give an overview of many of the
research areas pursued in the SENSORIA project.}
}

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