Predicting User Actions in Software Processes
Software Engineering
2011-10-07 v1 Artificial Intelligence
Abstract
This paper describes an approach for user (e.g. SW architect) assisting in software processes. The approach observes the user's action and tries to predict his next step. For this we use approaches in the area of machine learning (sequence learning) and adopt these for the use in software processes. Keywords: Software engineering, Software process description languages, Software processes, Machine learning, Sequence prediction
Cite
@article{arxiv.1110.1301,
title = {Predicting User Actions in Software Processes},
author = {Michael Deynet},
journal= {arXiv preprint arXiv:1110.1301},
year = {2011}
}
Comments
4th Workshop on Intelligent Techniques in Software Engineering, 5 September 2011, at the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases (ECML-PKDD)