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Authors: Leon Helwerda 1 ; Frank Niessink 2 and Fons J. Verbeek 3

Affiliations: 1 Leiden University and Stichting ICTU, Netherlands ; 2 Stichting ICTU, Netherlands ; 3 Leiden University, Netherlands

ISBN: 978-989-758-271-4

Keyword(s): Agile, Classification, Conceptual Frameworks, Prediction, Scrum, Software Development.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Computational Intelligence ; Data Analytics ; Data Engineering ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Software Development ; Symbolic Systems

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.

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Paper citation in several formats:
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

@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},
}

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

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