Master Thesis: AI-driven Test Failure Root Cause Analysis

Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning · Mjukvaruutveckling

I korthet

This Master Thesis project focuses on developing an AI-driven assistant to analyze test failures and identify root causes using Machine Learning and Large Language Models. Utilizing data from CI/CD pipelines and AWS S3, the project aims to improve software quality and delivery efficiency.

Ansvarsområden

  • Investigate the use of Machine Learning (ML) and Large Language Models (LLMs) to analyze test failures.
  • Provide root cause insights across unit, integration, and system testing stages.
  • Build a Test Failure Root Cause Assistant powered by existing CI test data.
  • Utilize Large Language Models like LLaMA-3, Mistral, or GPT variants.
  • Incorporate metadata and 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.

Krav

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

Önskade kvalifikationer

  • Experience with existing CI test data (stored in AWS S3).
  • Familiarity with Large Language Models like LLaMA-3, Mistral, or GPT variants.
  • Understanding of metadata & features such as commit frequency, test flakiness, smell types, test suite duration, and build environment.

Förmåner

  • Outstanding opportunity to use your skills and imagination.
  • Chance to build solutions never seen before.
  • Be challenged in a team of diverse innovators.
  • Work towards crafting what comes next.
  • Join a company that champions diversity and inclusion.

Färdigheter

Artificial IntelligenceMachine LearningLLaMA-3MistralGPTAWS S3PythonGitCI/CDSoftware TestingData AnalysisAlgorithmsAcademic Writing
#AI#Machine Learning#LLM#Software Testing#Root Cause Analysis#CI/CD#AWS S3#Master Thesis
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Företag

Ericsson

Publicerade jobb

för 1 dag sedan

Anställningstyp

Praktik

Arbetsform

På plats

Erfarenhetsnivå

Student

Platser

Linköping, Sweden

Kvalifikation

Masterexamen

Sökande

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