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Author: Ákos Szőke

Affiliation: Budapest University of Technology and Economics, Hungary

Related Ontology Subjects/Areas/Topics: Agile Methodologies ; Service-Oriented Software Engineering and Management ; Software and Systems Development Methodologies ; Software Engineering ; Software Process Improvement ; Software Project Management

Abstract: Agile software development represents a major approach to software engineering. Agile processes offer numerous benefits to organizations including quicker return on investment, higher product quality, and better customer satisfaction. However, there is no sound methodological support of agile release planning – contrary to the traditional, plan-based approaches. To address this situation, we present an agile release planning model and a heuristic optimization algorithm as a solution. Four real life data sets of its application and evaluation are drawn from the lending sector. The experiment demonstrates that this approach can provide more informed and established decisions and support easy optimized release plan productions. Finally, the paper analyzes benefits and issues from the use of this approach in system development projects.

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Paper citation in several formats:
Szőke, Á. (2009). Agile Release Planning through Optimization. In Proceedings of the 4th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE; ISBN 978-989-811-98-2; ISSN 2184-4895, SciTePress, pages 149-160. DOI: 10.5220/0001865001490160

@conference{enase09,
author={Ákos Szőke.},
title={Agile Release Planning through Optimization},
booktitle={Proceedings of the 4th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE},
year={2009},
pages={149-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001865001490160},
isbn={978-989-811-98-2},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Agile Release Planning through Optimization
SN - 978-989-811-98-2
IS - 2184-4895
AU - Szőke, Á.
PY - 2009
SP - 149
EP - 160
DO - 10.5220/0001865001490160
PB - SciTePress