Automatic Performance Model Transformation from UML to C++

We address the issue of the development of performance models for programs that may be executed on large-scale computing systems. The commonly used approaches apply non-standard notations for model specification and often require that the software engineer has a thorough understanding of the underly...

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Vydáno v:Proceedings of the International Conference on Parallel Processing s. 228 - 235
Hlavní autoři: Pllana, S., Benkner, S., Xhafa, F., Barolli, L.
Médium: Konferenční příspěvek Publikace
Jazyk:angličtina
japonština
Vydáno: IEEE 01.09.2008
Institute of Electrical and Electronics Engineers (IEEE)
Témata:
Avaluació
C++
Computational modeling
Computer software
Context modeling
Enginyeria del software
Evaluation
Formal languages
Graphical user interfaces
Informàtica
Kernel
Llenguatges formals
Model transformation
Navigation
Parallel programming
Performance modeling
Programari
UML
UML (Computer science)
UML (Informàtica)
Unified modeling language
XML
Àrees temàtiques de la UPC
ISBN:9781424432134, 1424432138
ISSN:0190-3918
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Popis
Shrnutí:We address the issue of the development of performance models for programs that may be executed on large-scale computing systems. The commonly used approaches apply non-standard notations for model specification and often require that the software engineer has a thorough understanding of the underlying performance modeling technique. We propose to bridge the gap between the performance modeling and software engineering by incorporating UML. In our approach we aim to permit the graphical specification of performance model in a human-intuitive fashion on one hand, but on the other hand we aim for a machine-efficient model evaluation. The user specifies graphically the performance model using UML. Thereafter, the transformation of the performance model from the human-usable UML representation to the machine-efficient C++ representation is done automatically. We describe our methodology and illustrate it with the automatic transformation of a sample performance model.
ISBN:9781424432134
1424432138
ISSN:0190-3918
DOI:10.1109/ICPP-W.2008.29