Master Thesis: Adaptive Test Selection using Knowledge Bases and Code Property Graphs
Ericsson ABSammanfattning
Ericsson is offering a Master Thesis opportunity focused on adaptive test selection in software development. The project aims to optimize test case execution by intelligently selecting relevant tests based on changes in the software, utilizing code property graphs and knowledge bases. This role is based in Karlskrona, Sweden, and provides the chance to explore innovative solutions in a collaborative environment.Det här erbjuder vi
Opportunity to work on innovative solutions to complex problems.Collaborative environment with diverse innovators.Encouragement of a diverse and inclusive workplace.
Ansök senast: Öppet tillsvidare
Publicerad: 2026-11-10
Beskrivning
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About this opportunity
Modern software is validated by long-running pipelines with large, extensive test suites. For any given change, test case selection and execution need to be optimized to run only the test cases relevant to the software changes - avoiding long waits and slow feedback. What if we could intelligently select only the tests that a change has actually impacted? At Ericsson, we want test case selection driven not just by the code, but by a richer model of the system: relating changes to an enterprise architecture model and to the relationships between Application Components, artifacts, and tests. By combining code property graphs (CPGs) with knowledge bases, this thesis explores how to turn sprawling test suites into fast, targeted, and smarter validation.
What you will do
This Master Thesis investigates adaptive test selection at the Application Component (AC) level across the software lifecycle. The goal is to select only the relevant tests for a given change - including integration and end-to-end tests - rather than running everything.
You will have freedom to define areas of exploration within the project. These could include, but are not limited to:
Extracting code property graphs (CPGs) to capture the areas impacted by a change.
Combining CPGs with available knowledge bases (e.g. enterprise architecture models, and Application Component ↔ artifacts ↔ tests relationships).
Evaluating how well CPGs plus knowledge bases identify the right tests.
Building a method and tooling for test case selection, and assessing whether this approach enables faster, smarter selection.
The skills you bring
Knowledge in AI and Computer Science.
Experience in at least one programming language.
Eagerness to learn and explore new concepts
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) || Karlskrona
Req ID: 792727
About this opportunity
Modern software is validated by long-running pipelines with large, extensive test suites. For any given change, test case selection and execution need to be optimized to run only the test cases relevant to the software changes - avoiding long waits and slow feedback. What if we could intelligently select only the tests that a change has actually impacted? At Ericsson, we want test case selection driven not just by the code, but by a richer model of the system: relating changes to an enterprise architecture model and to the relationships between Application Components, artifacts, and tests. By combining code property graphs (CPGs) with knowledge bases, this thesis explores how to turn sprawling test suites into fast, targeted, and smarter validation.
What you will do
This Master Thesis investigates adaptive test selection at the Application Component (AC) level across the software lifecycle. The goal is to select only the relevant tests for a given change - including integration and end-to-end tests - rather than running everything.
You will have freedom to define areas of exploration within the project. These could include, but are not limited to:
Extracting code property graphs (CPGs) to capture the areas impacted by a change.
Combining CPGs with available knowledge bases (e.g. enterprise architecture models, and Application Component ↔ artifacts ↔ tests relationships).
Evaluating how well CPGs plus knowledge bases identify the right tests.
Building a method and tooling for test case selection, and assessing whether this approach enables faster, smarter selection.
The skills you bring
Knowledge in AI and Computer Science.
Experience in at least one programming language.
Eagerness to learn and explore new concepts
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) || Karlskrona
Req ID: 792727
Ansök till tjänsten
Master Thesis: Adaptive Test Selection using Knowledge Bases and Code Property Graphs
OM FÖRETAGET
Ericsson AB
