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Evaluation of tools for automatedacceptance testing of webapplications
KTH, School of Technology and Health (STH), Medical Engineering, Computer and Electronic Engineering.
KTH, School of Technology and Health (STH), Medical Engineering, Computer and Electronic Engineering.
2016 (English)Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesisAlternative title
Utvärdering av verktyg förautomatiserad acceptanstestningav webbapplikationer (Swedish)
Abstract [en]

Auddly provides a music management tool that gathers all information about a musical piece in oneplace. The acceptance testing on their web application is done manually, which has become bothtime and money consuming. To solve this problem, an evaluation on automated acceptance testingwas done to find a testing tool suitable for their web application. The evaluation was performed byfinding the current existing testing strategies to later compare the tools implementing these strategies.When analyzing the results it was found that two testing strategies were best suited for automatedacceptance testing. The Visual Recognition strategy that identifies components using screenshotsand the Record and Replay strategy that identifies them by their underlying ID. The choice betweenthem depends on which of these properties are modified more often.It was also found that automating acceptance testing is best applied for regression testing, otherwiseit should be performed with a manual approach.It was made clear that the Selenium tool, which uses the Record and Replay strategy, was best suitedfor Auddly’s acceptance testing. Selenium is able to test AJAX-calls with a manual modificationand is a free and open source tool with a large community.

Abstract [sv]

Auddly tillhandahåller ett musikverktyg som samlar all information om ett musikstycke på ett endaställe. Acceptanstestningen på deras webbapplikation sker manuellt, som både blir tidskrävande ochdyrt. För att lösa detta problem har en utvärdering av automatiserade acceptanstestverktyg genomförtsför att hitta det verktyg som passar deras webbapplikation bäst. Utvärderingen utfördesgenom att hitta existerande teststrategier för att sedan jämföra de verktyg som implementerar dessastrategier.I analysen av resultatet framkom det att två av strategierna var mest passande för automatiseradeacceptanstester. Strategin Visual Recognition som identifierar komponenter genom skärmdumparoch strategin Record and Replay som identifierar de via deras underliggande ID. Valet mellan demberor på vilka av dessa egenskaper som ändras oftare.Det framkom även att automatisering av acceptanstester är mest lämpligt i regressionstestning, iandra typer av testning bör det ske manuellt.Det klargjordes att verktyget Selenium, som använder strategin Record and Replay, var det bästpassande för Auddly’s acceptanstestning. Selenium kan testa AJAX-anrop med en manuell modifieringoch är ett gratis verktyg med öppen källkod samt ett stort forum.

Place, publisher, year, edition, pages
2016. , 46 p.
TRITA-STH, 2016:49
Keyword [en]
Automation, acceptance testing, regression testing, single-page application
Keyword [sv]
automatisering, acceptanstestning, regressionstestning, single-page applikation
National Category
Computer Science
URN: urn:nbn:se:kth:diva-188484OAI: diva2:935212
External cooperation
Subject / course
Computer and Systems Sciences
Educational program
Bachelor of Science in Engineering - Computer Engineering
Available from: 2016-09-29 Created: 2016-06-10 Last updated: 2016-09-29Bibliographically approved

Open Access in DiVA

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