Validating Model-Driven Performance Predictions on Random Software Systems

0354163 - ÚI 2011 RIV DE eng C - Conference Paper (international conference)
Babka, V. - Tůma, P. - Bulej, Lubomír
Validating Model-Driven Performance Predictions on Random Software Systems.
Research into Practice – Reality and Gaps. Berlin: Springer, 2010 - (Heineman, G.; Kofroň, J.; Plášil, F.), s. 3-19. Lecture Notes in Computer Science, 6093. ISBN 978-3-642-13820-1. ISSN 0302-9743.
[QoSA 2010. International Conference on the Quality of Software Architectures /6./. Prague (CZ), 23.06.2010-25.06.2010]
R&D Projects: GA ČR GD201/09/H057
Institutional research plan: CEZ:AV0Z10300504
Keywords : performance modeling * performance validation * MDD
Subject RIV: JC - Computer Hardware ; Software

Software performance prediction methods are typically validated by taking an appropriate software system, performing both performance predictions and performance measurements for that system, and comparing the results. The validation includes manual actions, which makes it feasible only for a small number of systems. To significantly increase the number of systems on which software performance prediction methods can be validated, and thus improve the validation, we propose an approach where the systems are generated together with their models and the validation runs without manual intervention. The approach is described in detail and initial results demonstrating both its benefits and its issues are presented.
Permanent Link: http://hdl.handle.net/11104/0193224