Enabling Focused Software Quality Assurance in Agile Software Development Processes for Mobile Applications using Text and Usage Mining Methods

Michael Bauer, Kateryna Sergieieva, Gerrit Meixner, Konstantin Holl, Frank Elberzhager

2017

Abstract

The acceptance of mobile applications that support services, such as navigation guidance or travel management, is highly dependent on the set of features implemented and the application quality. Information about the acceptance can be gained quickly by collecting user feedback like explicit textual reviews given by the application users or their implicitly given usage data. Considering an approach that bases on developing a minimal set of functions in order to realize a minimal viable product (MVP), it is possible to place a product with a short time to market. In this paper the Opti4Apps approach is presented. It aims at a focused quality assurance as part of the MVP development, which enables and expands the benefits of MVP by providing a semi-automated feedback elicitation, analysis and processing framework. The Opti4Apps process adjusts to mobile development habits including an additional automated feedback and usage data processing infrastructure.

Paper Citation

in Harvard Style

Bauer M., Sergieieva K., Meixner G., Holl K. and Elberzhager F. (2017). Enabling Focused Software Quality Assurance in Agile Software Development Processes for Mobile Applications using Text and Usage Mining Methods.In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP, (VISIGRAPP 2017) ISBN 978-989-758-229-5, pages 128-132. DOI: 10.5220/0006224801280132

in Bibtex Style

@conference{hucapp17,
author={Michael Bauer and Kateryna Sergieieva and Gerrit Meixner and Konstantin Holl and Frank Elberzhager},
title={Enabling Focused Software Quality Assurance in Agile Software Development Processes for Mobile Applications using Text and Usage Mining Methods},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP, (VISIGRAPP 2017)},
year={2017},
pages={128-132},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006224801280132},
isbn={978-989-758-229-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP, (VISIGRAPP 2017)
TI - Enabling Focused Software Quality Assurance in Agile Software Development Processes for Mobile Applications using Text and Usage Mining Methods
SN - 978-989-758-229-5
AU - Bauer M.
AU - Sergieieva K.
AU - Meixner G.
AU - Holl K.
AU - Elberzhager F.
PY - 2017
SP - 128
EP - 132
DO - 10.5220/0006224801280132