Conceptual Process Models and Quantitative Analysis of Classification Problems in Scrum Software Development Practices

Leon Helwerda, Frank Niessink, Fons J. Verbeek

2017

Abstract

We propose a novel classification method that integrates into existing agile software development practices by collecting data records generated by software and tools used in the development process. We extract features from the collected data and create visualizations that provide insights, and feed the data into a prediction framework consisting of a deep neural network. The features and results are validated against conceptual frameworks that model the development methodologies as similar processes in other contexts. Initial results show that the visualization and prediction techniques provide promising outcomes that may help development teams and management gain better understanding of past events and future risks.

Paper Citation

in Harvard Style

Helwerda L., Niessink F. and Verbeek F. (2017). Conceptual Process Models and Quantitative Analysis of Classification Problems in Scrum Software Development Practices.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-271-4, pages 357-366. DOI: 10.5220/0006602803570366

in Bibtex Style

@conference{kdir17,
author={Leon Helwerda and Frank Niessink and Fons J. Verbeek},
title={Conceptual Process Models and Quantitative Analysis of Classification Problems in Scrum Software Development Practices},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2017},
pages={357-366},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006602803570366},
isbn={978-989-758-271-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - Conceptual Process Models and Quantitative Analysis of Classification Problems in Scrum Software Development Practices
SN - 978-989-758-271-4
AU - Helwerda L.
AU - Niessink F.
AU - Verbeek F.
PY - 2017
SP - 357
EP - 366
DO - 10.5220/0006602803570366