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Validating Model-Driven Performance Predictions on Random Software Systems

SYSNO ASEP	0354163
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Validating Model-Driven Performance Predictions on Random Software Systems
Author(s)	Babka, V. (CZ) Tůma, P. (CZ) Bulej, Lubomír (UIVT-O)_{RID, ORCID}
Source Title	Research into Practice – Reality and Gaps. - Berlin : Springer, 2010 / Heineman G. ; Kofroň J. ; Plášil F. - ISSN 0302-9743 - ISBN 978-3-642-13820-1
Pages	s. 3-19
Number of pages	17 s.
Action	QoSA 2010. International Conference on the Quality of Software Architectures /6./
Event date	23.06.2010-25.06.2010
VEvent location	Prague
Country	CZ - Czech Republic
Event type	WRD
Language	eng - English
Country	DE - Germany
Keywords	performance modeling ; performance validation ; MDD
Subject RIV	JC - Computer Hardware ; Software
R&D Projects	GD201/09/H057 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z10300504 - UIVT-O (2005-2011)
UT WOS	000281989000001
EID SCOPUS	77954574720
DOI	10.1007/978-3-642-13821-8_3
Annotation	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.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2011

Number of the records: 1