research-article

Ontology-Based Knowledge Management System Model for R3ST Software Maintenance Environment

Authors:

Eko K. Budiardjo,

Elviawaty M. Zamzami,

Ganjar Ramadhan,

Muh. Nur MusaAuthors Info & Claims

ICNCC '16: Proceedings of the Fifth International Conference on Network, Communication and Computing

Pages 198 - 202

https://doi.org/10.1145/3033288.3033340

Published: 17 December 2016 Publication History

Abstract

Research shows that approximately 40% to 60% of the maintenance effort, devoted to understand the modified software. One of the obstacles founded in software maintenance is the lack of contained knowledge in software. This research proposes a conceptual framework in software maintenance by utilizing knowledge management process and software comprehension using ontology as formal modeling analysis to expliciting the tacit knowledge in software. The topic of software comprehension is an important part for software engineer's effort. This framework is realized by means the Requirements Recovery and Reconstruction (R3) method based Software Tools (R3ST) environment. R3ST bind to domain ontology for increasing the contextual result. It is expected that R3ST would be able to facilitate software developers in software maintenance activities.

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Zamzami, E. M., & Budiardjo, E. K. (2012). Documenting Software Requirements Specification Using R2UC Ontology. Journal of Computer Science and Engineering, 14(2), 1--8.

Cited By

Nurbojatmiko Budiardjo EWibowo W(2018)Slr on Identification & Classification of Non-Functional Requirements Attributes, and Its Representation in Functional RequirementsProceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence10.1145/3297156.3297200(151-157)Online publication date: 8-Dec-2018
https://dl.acm.org/doi/10.1145/3297156.3297200

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ICNCC '16: Proceedings of the Fifth International Conference on Network, Communication and Computing

December 2016

343 pages

ISBN:9781450347938

DOI:10.1145/3033288

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 17 December 2016

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ICNCC '16

ICNCC '16: Fifth International Conference on Network, Communication and Computing

December 17 - 21, 2016

Kyoto, Japan

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Cited By

Nurbojatmiko Budiardjo EWibowo W(2018)Slr on Identification & Classification of Non-Functional Requirements Attributes, and Its Representation in Functional RequirementsProceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence10.1145/3297156.3297200(151-157)Online publication date: 8-Dec-2018
https://dl.acm.org/doi/10.1145/3297156.3297200

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