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P.o.s.t.g.r.a.d.u.a.t.e
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For the academic year 2008, RiSE is accepting
MSc. and Ph.D. students
in any of the projects listed below. All projects are part of our
effort
in defining, prototyping and experimenting with a robust framework for
software reuse that will, in
the end, encompass all phases of the software development cycle.
Our main interests are in real world problems and large applications
and we are teaming up with the Software Reuse Group
at C.E.S.A.R to serve as a practical bench for testing our theories and
prototypes in practice. It is within our plans
to work together with C.E.S.A.R and other interested parties to turn
processes, methods and technologies that will result of
our effort and have industrial value into either products of existing
companies or new startups.
We expect the first of such to appear within the 2-3 year time frame.
If you do have any queries about any of the projects
or our work in general, please feel free to get in touch with Eduardo Almeida.
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A
Mechanism for Reuse Tools Integration
(in
portuguese)
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A
Mechanism to Manage Feature Interaction in the context of Software
Product Lines
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A Process for Incremental Reuse Adoption in Software Organizations
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A
Process for Requirements Engineering in the context of Software Product
Lines based on Digital TV Domain
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A
Process to Design Software Product Line Architectures based on Digital
TV
Domain
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A Reuse Maturity Level Assessment Process
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A
Visual Domain-Specific Language for part of the Digital TV Domain
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An
Approach to Recovery Software Architecture in Innovation Projects
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Implementing
the Retrieval by Reformulation Mechanism in a Search and
Retrieval Tool
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Investigating
and Defining an Agile Process for Innovation Projects in Small
Companies
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Investigating
the IEEE WAVE Communications Standards and derivations to
Implement New Intelligent Vehicular Systems
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Towards
an Approach for Models Certification
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Towards
an Approach for Web Service Quality Assurance
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A
Traceability Mechanism for Software Reuse Tools
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Towards
an Automatic Component Load Tool
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Using
Data Mining Techniques in Knowledge Retrieval from Legay Systems
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