Master Thesis: Reducing Test Flakiness with AI

Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling · Datavetenskap

I korthet

This Master Thesis project at Ericsson in Linköping, Sweden, focuses on reducing and eliminating test flakiness using AI/ML. You will develop a proof-of-concept to detect, predict, and decrease flaky tests, collaborating with an investigated team. This is an excellent opportunity for a Master's student in computer science or computer engineering to contribute to improving software testing quality and developer productivity.

Ansvarsområden

Limit the scope of the study by investigating whether the test flakiness is due to production code, testing code, or testing infrastructure.
Develop a proof-of-concept implementation of state-of-art algorithms (using AI/ML, if needed) to detect, predict, and decrease test flakiness in collaboration with the investigated team.

Krav

Master´s student in computer science, computer engineering or similar.
Background in software testing and AI/ML is preferred.

Förmåner

Outstanding opportunity to use skills and imagination to push the boundaries of what's possible.
Build solutions never seen before to some of the world’s toughest problems.
Be challenged, but not alone, joining a team of diverse innovators.

Färdigheter

Artificial IntelligenceMachine LearningAlgorithmsSoftware TestingAnalysis

#Master Thesis#AI#Machine Learning#Software Testing#Flaky Tests#Root Cause Analysis#Test Detection#Test Prediction#Computer Science#Computer Engineering

Om Ericsson

Pioneering technology for connecting billions of people worldwide

Our purpose \nTo create connections that make the unimaginable possible.\n\nOur vision\nA world where limitless connectivity improves lives, redefines business and pioneers a sustainable future.\n\nOur values\nPerseverance, professionalism, respect and integrity.\n\nThe future is a place for purpose & vision – ours are clear, and we invite partners, customers and consumers to join us in our journey. \n\nFor a brighter future. For all. Let's #ImaginePossible

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