Title
Usability in the Development of a Project Management Software Reinforced with Machine Learning
Date Issued
01 January 2019
Access level
metadata only access
Resource Type
conference paper
Author(s)
Espinoza J.
Loarte P.
Paz F.
Pontificia Universidad Catolica del Perú, Lima 32, Peru
Publisher(s)
Springer Verlag
Abstract
Software development stages can represent a challenge due to the increase of final user demands since it must comply with standards and metrics that assure the quality of the final product, especially when related to the interface structure, considering that this could lead to the software failure or success. In the case of software oriented to project management, it is important to present them as a simple and practical tool to avoid generating a lack of interest in the final user. Therefore, in this study, we focus on the usability application process for a project management software reinforced with machine learning by analyzing requirements and integrating Nielsen usability guidelines in the design stage of the traditional methodology applied in the software development. The results show that the elements of the graphical interface were easily endorsed enabling a close up to a user-friendly software in the management of PM4r projects.
Start page
361
End page
378
Volume
11584 LNCS
Language
English
OCDE Knowledge area
Informática y Ciencias de la Información Bioinformática
Scopus EID
2-s2.0-85069839484
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Resource of which it is part
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN of the container
03029743
ISBN of the container
978-303023540-6
Conference
8th International Conference on Design, User Experience, and Usability, DUXU 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
Sources of information: Directorio de Producción Científica Scopus