Validating Model-Driven Performance Predictions on Random Software Systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F10%3A00354163" target="_blank" >RIV/67985807:_____/10:00354163 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Validating Model-Driven Performance Predictions on Random Software Systems

Original language description

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 systemsare 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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

<a href="/en/project/GD201%2F09%2FH057" target="_blank" >GD201/09/H057: Res Informatica</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Research into Practice ? Reality and Gaps

ISBN

978-3-642-13820-1

ISSN

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e-ISSN

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Number of pages

17

Pages from-to

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Publisher name

Springer

Place of publication

Berlin

Event location

Prague

Event date

Jun 23, 2010

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000281989000001