A Syntactic and Semantic Assessment of a Global Software Engineering Domain Ontology

Rocha, Rodrigo Tumolin; Bion, Danillo; Azevedo, Ryan Ribeiro de; Gomes, Arthur; Cordeiro, Diogo; Leandro, Renan; Silva, Israel Tojal da; Freitas, Fred

doi:10.1145/3428757.3429143

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…Through proper specification, conceptualization, and implementation [15], ontologies establish common semantics [16] within the heterogeneous computer environment, facilitating seamless knowledge exchange and straightforward reuse [17]. Principles based on ontologies have successfully overcome a wide range of problems in software engineering and information systems implementation, leading to the development of new approaches [18]. Moreover, existing methodologies have been supplemented with ontologies, resulting in integrated approaches [19].…”

Section: Introductionmentioning

confidence: 99%

Ontology Development for Creating Identical Software Environments to Improve Learning Outcomes in Higher Education Institutions

et al. 2023

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Students engage in remote learning within a diverse computer environment. While virtual machines can address the challenges posed by heterogeneity, there remain unresolved issues, particularly related to the complexity of software management. An imperative is to discover an automated solution that facilitates the creation of consistent software environments for educational purposes. This paper introduces ontology engineering principles as a means to tackle the complexities associated with software management. A suitable ontology is developed using OWL syntax, integrating knowledge pertaining to the required software within a specific academic domain. The practical applicability of this knowledge is enabled through the implementation of dedicated SPARQL queries within a Python program. The effectiveness of the automated solution in achieving identical software environments is verified through testing, conducted in both controlled laboratory settings and by students themselves, thus simulating authentic teaching scenarios. The solution not only adheres to the principles of reusability but can also be adapted or integrated into existing ontologies. Furthermore, it presents an opportunity to create automated and self-adjusting virtual machines, offering significant potential for educational and other domains.

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Section: Introductionmentioning

confidence: 99%

Ontology Development for Creating Identical Software Environments to Improve Learning Outcomes in Higher Education Institutions

et al. 2023

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Task allocation and coordination process in distributed agile software development: an ontology based approach

Nagowah

2022

Inf Technol Manag

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Distributed agile software development (DASD) has gained much popularity over the past years. It relates to Agile Software Development (ASD) being executed in a distributed environment due to factors such as low development budget, emerging software application markets and the need for more expertise. DASD faces a number of challenges with respect to coordination and communication issues. Task allocation in such an environment thus becomes a challenging task. Adopting proper task allocation strategy is crucial to overcome challenges and issues in DASD. Various studies highlight the challenges being faced by DASD and have proposed solutions in the form of framework or models. Knowledge models in the form of ontologies can help to solve certain issues and challenges by providing a proper representation of data that is shareable among distributed teams. Several ontologies with respect to task allocation exist. However, ontologies incorporating factors and dependencies influencing task allocation process in DASD are limited. An ontology representing the knowledge related to task allocation and coordination is important for proper decision making in organizations. Based on an in-depth literature review and a survey conducted among professionals in industry, this paper proposes an ontology, OntoDASD , that incorporates relevant factors and dependencies to be considered in task allocation and coordination process in DASD environment. The ontology facilitates team coordination through effective communication and task allocation by defining the concepts to share knowledge and information in an appropriate way. OntoDASD has been properly evaluated and validated by professionals in the field.

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A Syntactic and Semantic Assessment of a Global Software Engineering Domain Ontology

Cited by 2 publications

References 14 publications

Ontology Development for Creating Identical Software Environments to Improve Learning Outcomes in Higher Education Institutions

Ontology Development for Creating Identical Software Environments to Improve Learning Outcomes in Higher Education Institutions

Task allocation and coordination process in distributed agile software development: an ontology based approach

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