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30 credits – Predic software releases using machine learning and AI

Detta jobb är inaktivt och går inte att söka längre.

About the job

30 credits – Predic software releases using machine learning and AI Ingress: Thesis project at Scania is an excellent way of making contacts for your future working life. Many of our current employees started their careers with a thesis project.

Background

The Devtools group at Scania is responsible for providing suitable development tools to the software engineers in Scania for them to swiftly build and release software into the cloud, self driving vehicles etc. Currently the tool portfolio comprises well known development software such as Github Enterprise, Gitlab, Atlassian Jira, Microsoft TFS, Perforce, JFrog Artifactory and more.

In our software development tools we have large amounts of data related to software projects regarding our self driving vehicles, cloud infrastructure, machine learning and AI projects as well as traditional software development projects. Today estimating when a new feature or bug fix will be deployed or released is typically done in a manual fashion using e.g. “best guesses”. It is well known that estimating how much time and effort a software development task will take is very difficult. This makes it hard for the business to do prioritizations and to plan product releases, educations and marketing activities. By using machine learning on all the data we have in our software development tools it should be possible to better predict and estimate software releases.

Target

The purpose of the thesis project is to develop a machine learning prototype that can estimate when software changes will be deployed into production and can be released.

Assignment

Investigate how the data in Scania’s software development tools, e.g. Gitlab, Jira can be extracted and structured for the purpose. - Develop a machine learning prototype that with existing data can predict when software features and changes will be deployed - Evaluate and quality assure the estimations of the prototype

Education

  • Working on a masters degree in software engineering, informatics, computer science, business analytics, data analytics.
  • Experience in software development tools, data analytics, machine learning, AI, programming (e.g. python).
  • Excellent written and oral English communication skills.

Application

Enclose CV, personal letter and school-leaving certificate.

Number of students: 2

Start date: ongoing/flexible

Estimated time needed: 20 weeks per student

Contact persons and supervisors

Mats Skoglund, Business Developer, IUAT, 08-553 528 29, mats.skoglund@scania.com

Om företaget

Scania is a world-leading provider of transport solutions, including trucks and buses for heavy transport applications combined with an extensive product-related service offering. Scania offers vehicle financing, insurance and rental services to enable our customers to focus on their core business. Scania is also a leading provider of industrial and marine engines. In 2019, we delivered 91,700 trucks, 7,800 buses as well as 10,200 industrial and marine engines to our customers. Net sales totalled to over SEK 152 billion, of which about 20 percent were services-related. Founded in 1891, Scania now operates in more than 100 countries and employs some 51,000 people. Research and development are concentrated in Sweden, with branches in Brazil and India. Production takes place in Europe, Latin America and Asia, with regional production centers in Africa, Asia and Eurasia. Scania is part of TRATON SE.

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