Master Thesis: AI-driven Test Failure Root Cause Analysis
Ericsson ABNy
Sammanfattning
This thesis project at Ericsson focuses on developing a Test Failure Root Cause Assistant utilizing Machine Learning and Large Language Models to analyze test failures across various stages of software testing. The role is based in Linköping, Sweden, and aims to enhance software quality by leveraging existing CI test data and advanced AI techniques. Candidates will work with a diverse team to tackle complex challenges in software delivery.Det här erbjuder vi
Opportunity to work on innovative solutions to complex problems.Collaborative environment with a diverse team.Encouragement of diverse and inclusive practices.
Ansök senast: Öppet tillsvidare
Publicerad: 2026-09-25
Beskrivning
Join our Team
About this opportunity:
Software testing is a cornerstone of high-quality software delivery. However, test failures, especially those without clear root causes, lead to productivity loss, slow release cycles, and unreliable systems. This thesis investigates the use of Machine Learning (ML) and Large Language Models (LLMs) to analyze test failures and provide root cause insights across various testing stages (unit, integration, system), using data already collected from CI/CD pipelines and stored in S3.
What you will do:
This thesis project revolves around building a Test Failure Root Cause Assistant powered by:
The skills you bring:
Why join Ericsson?
At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Linköping
Req ID: 791417
About this opportunity:
Software testing is a cornerstone of high-quality software delivery. However, test failures, especially those without clear root causes, lead to productivity loss, slow release cycles, and unreliable systems. This thesis investigates the use of Machine Learning (ML) and Large Language Models (LLMs) to analyze test failures and provide root cause insights across various testing stages (unit, integration, system), using data already collected from CI/CD pipelines and stored in S3.
What you will do:
This thesis project revolves around building a Test Failure Root Cause Assistant powered by:
- Existing CI test data (stored in AWS S3)
- Large Language Models like LLaMA-3, Mistral, or GPT variants
- Metadata & features such as commit frequency, test flakiness, smell types, test suite duration, and build environment
- Engineer features across multiple test levels (unit/integration/system).
- Train models to classify test failures or recommend root causes.
The skills you bring:
- Master's student in computer science, computer engineering, or similar.
- Background in software testing and AI/ML is preferred.
Why join Ericsson?
At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Linköping
Req ID: 791417
Ansök till tjänsten
Master Thesis: AI-driven Test Failure Root Cause Analysis
Ny
OM FÖRETAGET
Ericsson AB
