Ericsson

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Mobile networks connect people, devices, and services worldwide – forming the backbone of our networked society. These systems are powered by huge, complex software landscapes that require extensive testing to ensure they meet strict telecom standards. Running tens of thousands of regression tests is common, but costly in terms of time and resources, especially in agile, continuously integrated environments. This thesis explores how AI and Machine Learning can revolutionize Regression Test Selection (RST) to make quality assurance faster, smarter, and more efficient.

About this opportunity:

You will work within the GTTC test framework used for Ericsson’s MME and AMF cloud-native products. The goal is to investigate whether AI/ML can outperform traditional rule-based or dependency-based RST methods, optimizing for large-scale software development. Your research will be practical, hands-on, and aimed at improving test efficiency without compromising quality.

What you will do:

• Investigate and review prior art in AI/ML-driven Regression Test Selection.
• Design a new RST method inspired by AI/ML, tailored for large development environments.
• Implement a prototype of the proposed method.
• Compare your prototype’s performance against the current RST tool (eXmachina), evaluating both fault detection rates and cost efficiency.

The skills you bring:

• Strong background in Computer Science, Computer Engineering, or similar.
• Knowledge of AI and Machine Learning techniques.
• Programming skills in Python and/or Erlang.
• Understanding of large‑scale data analysis.
• Interest in test automation and software quality assurance.
• Self-driven, proactive, and collaborative approach.

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) || Göteborg

Req ID: 773132