20 citations · 24 across the 4 of their papers we have counts for
5 papers
Defining Quality Requirements for a Trustworthy AI Wildflower Monitoring Platform
Petra Heck, Gerard Schouten
For an AI solution to evolve from a trained machine learning model into a production-ready AI system, many more things need to be considered than just the performance of the machin…
Lessons Learned from Educating AI Engineers
Petra Heck, Gerard Schouten
Over the past three years we have built a practice-oriented, bachelor level, educational programme for software engineers to specialize as AI engineers. The experience with this pr…
Systematic Mapping Study on the Machine Learning Lifecycle
Yuanhao Xie, Luís Cruz, Petra Heck +1
The development of artificial intelligence (AI) has made various industries eager to explore the benefits of AI. There is an increasing amount of research surrounding AI, most of w…
Turning Software Engineers into AI Engineers
Petra Heck, Gerard Schouten
In industry as well as education as well as academics we see a growing need for knowledge on how to apply machine learning in software applications. With the educational programme…
A Quality Framework for Agile Requirements: A Practitioner's Perspective
Petra Heck, Andy Zaidman
Verification activities are necessary to ensure that the requirements are specified in a correct way. However, until now requirements verification research has focused on tradition…