Software engineering documentation: an ontology-based approach

Ambrósio, Ana Paula; Santos, Danilo; Lucena, Fábio Nogueira de; Silva, J.C. da

doi:10.1109/webmed.2004.1348143

Cited by 14 publications

(5 citation statements)

References 5 publications

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“…Reviews of ontology-supported software engineering give insight into the benefits of this practice [22], [23], [24]. These structured knowledge representations not only support implementation, but can help with long-term maintenance [25], software re-use [26], documentation [27], integration of semantic features [28], and software testing [29].…”

Section: Ontology-supported Developmentmentioning

confidence: 99%

Rapid Development of a Data Visualization Service in an Emergency Response

Khan

Nguyêñ

Abdul‐Rahman³

et al. 2022

IEEE Trans. Serv. Comput.

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Section: Ontology-supported Developmentmentioning

confidence: 99%

Rapid Development of a Data Visualization Service in an Emergency Response

Khan

Nguyêñ

Abdul‐Rahman³

et al. 2022

IEEE Trans. Serv. Comput.

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“…On the other hand, ontology-based approaches for modelling documentation are particularly focused on software systems documentation towards facilitating the software development and maintenance as well as the software system functionality. For example, Ambrósio et al (2004) propose an ontology-based approach to combine real world domain information and software engineering knowledge to produce up-to-date software documentation that evolves along time. Other relevant works for software documentation include Klieber et al (2009), Witte et al (2007, Goy and Magro (2012).…”

Section: Background and Related Workmentioning

confidence: 99%

Rule-based Mechanism to Optimize Asset Management Using a Technical Documentation Ontology

Koukias

Kiritsis

2015

IFAC-PapersOnLine

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Organisations have consistently been looking for different ways to advance the usage of their engineering assets towards ensuring the asset performance at peak levels and increasing their revenue. This task is always supported within industrial environments by the technical documentation describing in a complete manner the asset and dictating how it should be managed. However, a gap between the original documentation instructions on the asset usage and the actual asset usage combined with a low understanding of the asset capabilities on how to best operate and maintain them may lead to human errors or negligence. A step-by-step ontology-based approach has been proposed to represent the knowledge included in the documentation concerning the asset's usage, maintenance and configuration. This paper focuses on the development step of a rule-based mechanism to identify and correct divergences in the actual asset usage from the documentation instructions towards improving or even optimizing the asset performance.

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“…In [6] their goal is to improve system maintenance. Other approaches describe a method to populate ontologies from a set of documents.…”

Section: Related Workmentioning

confidence: 99%

A platform to automatically generate and incorporate documents into an ontology-based content repository

Heinrich

Boehm-Peters

Knechtel

2009

Proceedings of the 9th ACM Symposium on Document Engineering

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In order to access large information pools efficiently data has to be structured and categorized. Recently, applying ontologies to formalize information has become an established approach. In particular, ontology-based search and navigation are promising solutions which are capable to significantly improve state of the art systems (e.g. full-text search engines). However, the ontology roll-out and maintenance are costly tasks. Therefore, we propose a documentation generation platform that automatically derives content and incorporates generated content into an existing ontology. The demanding task of classifying content as concept instances, setting data type and object properties is accomplished by the documentation generation platform. Eventually, our approach results in a semantically enriched content base. Note that no manual effort is required to establish links between content objects and the ontology.

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Software engineering documentation: an ontology-based approach

Cited by 14 publications

References 5 publications

Rapid Development of a Data Visualization Service in an Emergency Response

Rapid Development of a Data Visualization Service in an Emergency Response

Rule-based Mechanism to Optimize Asset Management Using a Technical Documentation Ontology

A platform to automatically generate and incorporate documents into an ontology-based content repository

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