DETERMINATION OF KEY HOMELAND CRITERIA FOR UML ADAPTATION EVALUATION

It is neither technically wise nor economically profitable to build most complex systems without first creating a model. Unified Modeling Language (UML) has helped raise general awareness about the value of modeling when dealing with software complexity. Since UML has become a bonafide industry standard for software modeling, a lot of studies has been carried out round the globe on its adoption and usage but the researcher’s homeland has been neglected. Moreover, while most studies ends up as survey result/discussion on how different UML diagrams are being used, none has actually scientifically determined a suitable evaluation criteria for developers UML knowledge. This work which is part of a bigger study reports the determination of the evaluation criteria for developers UML Knowledge evaluation Model using the result of a previous survey by the researcher that reports how far African software developers are adapting to industry standard and the usage level of the various UML modeling tools. Survey research methodology was employed. The research question used was, which of the UML diagrams are the most/less used in practice? The statement of hypothesis is that there is no significance difference in mean usage of different UML diagrams. Different techniques of analysis were employed. Majorly, the statistical tools used by the researcher to analyze the data were percentages, mean and One Way ANOVA for test of research hypothesis. The result shows that there is a significant difference in mean usage of UML by types which gave rise to the two components of the evaluation criteria. The main contribution of the work is the creation of evaluation criteria for homeland UML knowledge evaluation which have the General Knowledge (GK) component and the Detailed Knowledge (DK) component

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-04
DOI
https://doi.org/10.5281/zenodo.17522139
Primary Topic
Model-Driven Software Engineering Techniques
Type
article
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article

DETERMINATION OF KEY HOMELAND CRITERIA FOR UML ADAPTATION EVALUATION

Zenodo (CERN European Organization for Nuclear Research)
Model-Driven Software Engineering Techniques
article

DETERMINATION OF KEY HOMELAND CRITERIA FOR UML ADAPTATION EVALUATION

article en

Abstract

It is neither technically wise nor economically profitable to build most complex systems without first creating a model. Unified Modeling Language (UML) has helped raise general awareness about the value of modeling when dealing with software complexity. Since UML has become a bonafide industry standard for software modeling, a lot of studies has been carried out round the globe on its adoption and usage but the researcher’s homeland has been neglected. Moreover, while most studies ends up as survey result/discussion on how different UML diagrams are being used, none has actually scientifically determined a suitable evaluation criteria for developers UML knowledge. This work which is part of a bigger study reports the determination of the evaluation criteria for developers UML Knowledge evaluation Model using the result of a previous survey by the researcher that reports how far African software developers are adapting to industry standard and the usage level of the various UML modeling tools. Survey research methodology was employed. The research question used was, which of the UML diagrams are the most/less used in practice? The statement of hypothesis is that there is no significance difference in mean usage of different UML diagrams. Different techniques of analysis were employed. Majorly, the statistical tools used by the researcher to analyze the data were percentages, mean and One Way ANOVA for test of research hypothesis. The result shows that there is a significant difference in mean usage of UML by types which gave rise to the two components of the evaluation criteria. The main contribution of the work is the creation of evaluation criteria for homeland UML knowledge evaluation which have the General Knowledge (GK) component and the Detailed Knowledge (DK) component

Zenodo (CERN European Organization for Nuclear Research)
Federal Polytechnic Oko (NG), The Federal Polytechnic, Ado-Ekiti (NG)
Industry, innovation and infrastructure
Openalex Percentile: Top 41%
Model-Driven Software Engineering Techniques
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