Matrix-based project dataset parsers

There are several existing project datasets, which involve separate data sources for simulated and real projects, individual and multiprojects, and single- and multimodal attributes. In addition, their file structures are heterogeneous; therefore, scholars can usually use only one dataset to test a...

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Veröffentlicht in:MethodsX Jg. 13; S. 102821
Hauptverfasser: Kosztyán, Zsolt T., Novák, Gergely L.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Netherlands Elsevier B.V 01.12.2024
Elsevier
Schlagworte:
Matrix-based projects
Project database parser
Project parser
Structural flexibility
Project parser
Project database parser
Matrix-based projects
Structural flexibility
ISSN:2215-0161, 2215-0161
Online-Zugang:Volltext
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Zusammenfassung:There are several existing project datasets, which involve separate data sources for simulated and real projects, individual and multiprojects, and single- and multimodal attributes. In addition, their file structures are heterogeneous; therefore, scholars can usually use only one dataset to test a proposed scheduling or resource allocation algorithm. Since the internal structures of these projects are also very different, it is difficult to ensure that an algorithm optimized for a given type of project will also perform well on projects with other structures. The proposed parsing method supports researchers in:•reading several types of projects: simulated, real, individual, and multiprojects, as well as single- and multimodal attributes;•considering the priorities of activities and the flexibility of their dependencies, which is essential for modeling the structural flexibility employed by agile, hybrid, and extreme project management approaches;•building a large project database for testing and comparing different scheduling and resource allocation algorithms. [Display omitted]
Bibliographie:ObjectType-Article-1
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ISSN:2215-0161
2215-0161
DOI:10.1016/j.mex.2024.102821