Thesis Project: 30 hp - AI assisted validation and verification of software

Introduction
Thesis work is an excellent way to get closer to Scania and build relationships for the future. Many of today's employees began their Scania career with their degree project. With the current boom in AI, work has started to investigate how it can be used as a tool to optimize different tasks and improve quality. 

Background
In verification and validation a variety of different tools and systems to handle system requirements, test case protocols and test case scripts. Given the nature of requirements writing, they can be susceptible to interpretation by the tester. Also, since requirements for the same system can be written by different people, they can be contradictory.

The method used today to counter these issues are reviews where the requirement and test documents are proof-read and approved. With the current advancements in Large Language Models (LLMs), this type of work can be greatly automated to provide consistency across system level requirements and better test case coverage to achieve higher software quality with current or increased development speed. 

Objectives

• AI verifying the test protocols against test scripts
• AI to review requirements-test cases for test coverage
• AI for creation of test cases
• AI impact analysis of new functionality to existing requirements
• AI to understand high risk situations that quality control should prioritise  
• AI for verifying test methods and test cases against regulated protocols such as ISO26262

'

Job description 
One or more of the suggested objectives should be included in the goal of the thesis. The formulation of the goals could be refined during the thesis work.

Take the opportunity to work in a global organization with the development of Scania's and Tratons trucks and buses. We are a close-knit group that adds customer value by ensuring the quality of the conventional and electrified powertrains. Our group is characterized by a creative and helpful environment where everyone's voice is heard.  
We solve our challenges cross-functionally in agile teams with common goals, where both the individual and the team have major impact on the final product. Personal development is key and we put great emphasis on allowing you to grow and develop in the role. 

Education/program/focus
Master of science in Mechanical engineering, Mechatronics, Data Science, automotive or similar.
Basic programming knowledge is needed, knowledge of AI/ML is meriting.

Number of students:1-2
Start date for the thesis work: January 6 (could be adjusted) 2025
To be conducted during the spring of 2025.

Contact persons and supervisors
Arvid Isaksson (manager), arvid.isaksson@scania.com, +46700877915
Ahmed Shams El Din (supervisor), ahmed.hamdy.shams.el.din@scania.com, +46737135449

Application:
Your application must include a CV, personal letter and transcript of grades 

A background check might be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified.