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Automated Verification of Load Test Results in a Continuous Delivery Deployment Pipeline
KTH, School of Computer Science and Communication (CSC).
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Continuous delivery is a software development methodology that aims to reduce development cycle time by putting a strong emphasis on automation, quality and rapid feedback. This thesis develops an automated method for detecting performance regressions as part of a continuous delivery deployment pipeline.

The chosen method is based on control charts, a tool commonly used within statistical process control. This method is implemented as part of a continuous delivery deployment pipeline and its ability to detect performance regressions is then evaluated by injecting various performance bottlenecks in a sample application.

The results from this thesis show that using a control chart based approach is a viable option when trying to automate verification of load test results in the context of continuous delivery.

Abstract [sv]

Kontinuerlig leverans är en utvecklingsmetodik för mjukvara med målet att reducera ledtid genom att fokusera på automatisering, kvalitet och snabb återkoppling. I det här examensarbetet utvecklas en automatiserad metod för att upptäcka försämringar i prestanda i en deployment pipeline för kontinuerlig leverans.

Den valda metoden baseras på kontrolldiagram, ett verktyg som ofta används inom statistisk processkontroll. Metoden implementeras som en del av en deployment pipeline för kontinuerlig leverans och dess förmåga att upptäcka prestandaförsämringar utvärderas genom att olika prestandarelaterade flaskhalsar implementeras i en testapplikation.

Resultaten från arbetet visar att en metod baserad på kontrolldiagram är ett tänkbart alternativ för att automatisera verifiering lasttestresultat inom kontinuerlig leverans. 

Place, publisher, year, edition, pages
Keyword [en]
continuous delivery, load testing, performance testing, deployment pipeline, automation, control charts
National Category
Computer Science
URN: urn:nbn:se:kth:diva-169656OAI: diva2:824273
Educational program
Master of Science in Engineering - Computer Science and Technology
Available from: 2015-06-29 Created: 2015-06-21 Last updated: 2015-06-29Bibliographically approved

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