A PMBoK Extension Proposal for Data Visualization in Software Project Management

Julia Couto, Josiane Kroll, Duncan Ruiz, Rafael Prikladnicki

2021

Abstract

Although the human brain stores images more easily than text, most of the tools adopted for software project management are based on textual reports. The number of software projects that fail is huge, and the lack of understanding of the project complexity by the stakeholders is among the reasons for project failure. Data visualization techniques and tools can help to identify the project issues and reduce misunderstandings. In this paper, we investigate how project management can benefit from data visualization. To do so, we adopted a hybrid research approach composed by a systematic mapping study, a survey, and three focus group sessions. As a result, we identify a set of the 16 visualization techniques and tools that can be used to support software project management and we propose a PMBoK extension that provides a reference for practitioners who are planning to use data visualization to support software project management.

Paper Citation

in EndNote Style

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A PMBoK Extension Proposal for Data Visualization in Software Project Management
SN - 978-989-758-509-8
AU - Couto J.
AU - Kroll J.
AU - Ruiz D.
AU - Prikladnicki R.
PY - 2021
SP - 54
EP - 65
DO - 10.5220/0010454600540065

in Harvard Style

Couto J., Kroll J., Ruiz D. and Prikladnicki R. (2021). A PMBoK Extension Proposal for Data Visualization in Software Project Management. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-509-8, pages 54-65. DOI: 10.5220/0010454600540065

in Bibtex Style

@conference{iceis21,
author={Julia Couto and Josiane Kroll and Duncan Ruiz and Rafael Prikladnicki},
title={A PMBoK Extension Proposal for Data Visualization in Software Project Management},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2021},
pages={54-65},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010454600540065},
isbn={978-989-758-509-8},
}