4.1.3 Using ML for On-Time Software Delivery
Module 4: AI in Practice: Preparing for AI
In this video lesson, Elvan Kula,a PhD Candidate on the intersection of AI, Data Analytics and Software Analytics at ING, Delft University of Technology and in the AI for FinTech Research presents a use case on “Using ML for On-Time Software Delivery”.
This videolesson is based on a scientific study that is refferred at below. Note: This additional information is not mandatory for the course and is primarily intended for learners who wish to dive deeper into the material:
- Elvan Kula, Ayushi Rastogi, Hennie Huijgens, Arie van Deursen, Georgios Gousios. Releasing Fast and Slow: An Exploratory Case Study at ING. 2019. In Proceedings of the 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/
FSE ’19), August 26–30, 2019, Tallinn, Estonia. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3338906.3338978.
AI in Practice: Preparing for AI by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/ai-in-practice-preparing-for-ai/ /