Usability in the Development of a Project Management Software Reinforced with Machine Learning

Jorge Espinoza; Pamela Loarte; Freddy Paz; Luis Flores

doi:10.1007/978-3-030-23541-3_26

Usability in the Development of a Project Management Software Reinforced with Machine Learning

Jorge Espinoza, Pamela Loarte, Freddy Paz, Luis Flores

Pontifical Catholic Univ. of Peru

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Design, User Experience, and Usability. User Experience in Advanced Technological Environments - 8th International Conference, DUXU 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
Editors	Aaron Marcus, Wentao Wang
Publisher	Springer Verlag
Pages	361-378
Number of pages	18
ISBN (Print)	9783030235406
DOIs	https://doi.org/10.1007/978-3-030-23541-3_26
State	Published - 2019
Event	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 - Orlando, United States Duration: 26 Jul 2019 → 31 Jul 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11584 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

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
Country/Territory	United States
City	Orlando
Period	26/07/19 → 31/07/19

Keywords

Design
Nielsen usability guidelines
PM4r
Project management
Software development
Usability

Access to Document

10.1007/978-3-030-23541-3_26

Cite this

Espinoza, J., Loarte, P., Paz, F., & Flores, L. (2019). Usability in the Development of a Project Management Software Reinforced with Machine Learning. In A. Marcus, & W. Wang (Eds.), Design, User Experience, and Usability. User Experience in Advanced Technological Environments - 8th International Conference, DUXU 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 361-378). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11584 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-23541-3_26

Espinoza, Jorge ; Loarte, Pamela ; Paz, Freddy et al. / Usability in the Development of a Project Management Software Reinforced with Machine Learning. Design, User Experience, and Usability. User Experience in Advanced Technological Environments - 8th International Conference, DUXU 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. editor / Aaron Marcus ; Wentao Wang. Springer Verlag, 2019. pp. 361-378 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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Espinoza, J, Loarte, P, Paz, F & Flores, L 2019, Usability in the Development of a Project Management Software Reinforced with Machine Learning. in A Marcus & W Wang (eds), Design, User Experience, and Usability. User Experience in Advanced Technological Environments - 8th International Conference, DUXU 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11584 LNCS, Springer Verlag, pp. 361-378, 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, Orlando, United States, 26/07/19. https://doi.org/10.1007/978-3-030-23541-3_26

Usability in the Development of a Project Management Software Reinforced with Machine Learning. / Espinoza, Jorge; Loarte, Pamela; Paz, Freddy et al.
Design, User Experience, and Usability. User Experience in Advanced Technological Environments - 8th International Conference, DUXU 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. ed. / Aaron Marcus; Wentao Wang. Springer Verlag, 2019. p. 361-378 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11584 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Usability in the Development of a Project Management Software Reinforced with Machine Learning

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AU - Loarte, Pamela

AU - Paz, Freddy

AU - Flores, Luis

PY - 2019

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N2 - 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.

AB - 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.

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Y2 - 26 July 2019 through 31 July 2019

ER -

Espinoza J, Loarte P, Paz F, Flores L. Usability in the Development of a Project Management Software Reinforced with Machine Learning. In Marcus A, Wang W, editors, Design, User Experience, and Usability. User Experience in Advanced Technological Environments - 8th International Conference, DUXU 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Springer Verlag. 2019. p. 361-378. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-23541-3_26

Usability in the Development of a Project Management Software Reinforced with Machine Learning

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