Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Adaptive Random Testing of a Trading System.
KTH, School of Computer Science and Communication (CSC).
2011 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis aims to explore the viability of using Adaptive Random Testing and Parameterized Random Testing for functional testing of a trading system. In particular we will test a subset of the input domain that constitutes sending an order to the exchange. We use parameterized Random Testing and Adaptive Random Testing to generate input, and we use both a heuristic oracle and an exception based oracle to verify the output of the trading system. Our Random Testing efforts found faults that had previously remained undetected. Hence Random Testing has empirically been shown to be a cost efficient supple mentary testing method. Furthermore our results indicate that Adaptive Random Testing as good as or better than Random Testing at discovering faults.

Abstract [sv]

Detta examensarbete ämnar utforska lämpligheten att använda Adaptive Random Testing och Parameterized Random Testing för funktionell testning av ett handelssystem. Specifikt kommer vi att testa en delmängd av indatadomänen som innebär ordersändning till börsen. Vi använder parameteriserad Random Testing samt Adaptive Random Testing för indatagenerering. För virifiering av utdata från handelssystemet används både ett heuristiskt orakel samt ett exception orakel. Vår användning av Random Testing har funnit tidigare oupptäckta fel. Således har vi empiriskt visat att Random Testing är ett kostnadseffektivt supplement till övrig testning. Vidare indikerar våra resultat att Adaptive Random Testing är minst lika bra, eller bättre, på att upptäcka fel jämfört med Random Testing.

Place, publisher, year, edition, pages
2011.
Series
Trita-CSC-E, ISSN 1653-5715 ; 2011:067
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-130675OAI: oai:DiVA.org:kth-130675DiVA: diva2:654122
Educational program
Master of Science in Engineering -Engineering Physics
Uppsok
Technology
Supervisors
Examiners
Available from: 2013-10-07 Created: 2013-10-07

Open Access in DiVA

No full text

Other links

http://www.nada.kth.se/utbildning/grukth/exjobb/rapportlistor/2011/rapporter11/carlsson_victor_11067.pdf
By organisation
School of Computer Science and Communication (CSC)
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 15 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf