Software Engineering for AI/ML/DL
Research Project , 2019 – 2022

The research is concerned with developing largely automated solutions that support the creation, training and evaluation of ML/DL components in industrial, production-quality systems. Specifically, as, similar to other software components, ML/DL components deployed in industrial practice are continuously retrained, validated using A/B testing and then deployed once the new model proves superior to the previous version, we aim to study the challenges arising from this continuous process of collecting data, improving and retraining the model, validating the newest version of the model and then monitoring and logging to ensure that the model performs according to expectations and integrates well with the other software components as well as the data pipelines established in the software intensive system. As cyber physical systems typically are instantiated many times, one of the challenges that we intend to study is the combination of data and learnings from many instances of systems that operate in, potentially highly diverse, contexts.

Participants

Jan Bosch (contact)

Professor vid Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers), Software Engineering for Cyber Psysical Systems

Ivica Crnkovic

Professor vid Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers), Software Engineering for People, Architecture, Requirements and Traceability

Helena Holmström Olsson

vid Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

Collaborations

Software Center

Gothenburg, Sweden

Funding

Chalmers AI Research Centre (CHAIR)

Funding Chalmers participation during 2019–2022

Related Areas of Advance and Infrastructure

Information and Communication Technology

Areas of Advance

More information

Project Web Page

www.software-center.se

Latest update

2019-10-14