Master Thesis: Source Code Summarization

RISE RESEARCH INSTITUTES OF SWEDEN

Sweden

December 15, 2021

Description

Master Thesis: Source Code Summarization

Thesis Description Automated source code summarization is a popular software engineering research topic wherein machine translation models translate code snippets into relevant natural language descriptions. This project aims to design and implement new models for source code summarization using two techniques: (i) transformers and (ii) graph neural networks.

Terms Positions: 2 Start Time: January 2022 Scope: 30 hp Location: RISE Computer Science, Kista, Stockholm Application Deadline: December 15, 2021

Who are you? A good understanding of Machine Learning and a desire to learn more about Artificial Intelligence is required. We expect you to have good programming skills and have previous experience with either Tensorflow or Pytorch.

Welcome with your application! If this sounds interesting and you would like to know more, please contact Amir H. Payberah, +46725544011. Candidates are encouraged to send in their application as soon as possible but at the latest December 15, 2921. Suitable applicants will be interviewed as applications are received.

Master thesis, machine learning, software engineering, research, RISE, Kista

Om jobbet Ort

Kista

Anställningsform

Visstidsanställning 3-6 månader

Job type

Student - examensarbete/praktik

Kontaktperson

Amir Payberah 0725544011

Referensnummer

2021/596

Sista ansökningsdag

2021-12-15

Skicka in din ansökan

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