This repository comprises a report and an interactive Excel workbook corresponding to a machine learning (ML) maturity model for teams. The report provides detailed information on the maturity model. The interactive Excel workbook serves as the implementation of the model. The workbook aims to assists teams in assessing their development processes, obtaining their maturity results and planning the improvement of their processes.
The maturity model is created as part of a master’s thesis in the programme ICT in Business and the Public Sector at the Leiden University. The model consists of 45 ML engineering best practices of the SE4ML catalogue. These practices are arranged into two representations (i.e. views): the domain and maturity representation. The domain representation describes the maturity of a team regarding particular domains (e.g. training, coding and deployment) measured by engineering capability (EC) levels. The maturity representation focuses on the maturity of the overall development process of a team measured by maturity levels. The model defines 4 EC levels and 6 maturity levels.