An Ontology-Based Context Model for Managing Security Knowledge in Software Development

Wen, Shao-Fang; Katt, Basel

doi:10.23919/fruct.2018.8588107

Cited by 5 publications

(8 citation statements)

References 26 publications

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“…Further, after the construction of pair-wise comparisons a matrix different fuzzy operation is performed on it and then defuzzification is performed. This work used alpha cut method for defuzzification [18] where alpha cut method as formulated in (4)- (6).…”

Section: Methodsmentioning

confidence: 99%

“…where 0 ≤α ≤ 1 and 0 ≤β≤ 1. Such that, ɳα(Loij)= (Miij-Loij).α+Loij (5) ɳα(Upij)=Upij-(Upij-Miij).α (6) Where α and β in these equations are used for the preferences of experts and intolerance of experts respectively. The values of α and β vary between 0 and 1.…”

Section: Methodsmentioning

confidence: 99%

“…Then, In (8) symbol I signify the unitary matrix. By applying equations (1)(2)(3)(4)(5)(6)(7)(8), the weights of every attribute with respect to all other attributes may be attained. For checking the consistency and continuing the AHP process, check the consistency ratio (CR) [31].…”

Section: C1mentioning

confidence: 99%

“…To cite a pertinent example, SHIELDS project targets constructing a secure software engineering environment which is assisted by the repository of the software security knowledge [6]. With the help of the repository, security models can be shared and stored representing the expertise of the specialists.…”

Section: Introductionmentioning

confidence: 99%

“…With the help of semantic tools to assist the security of software, several efforts have been made to achieve ontology-based modeling. Ontologies have clear and formal specifications [6]. Also, ontology is recognized universally as a tool for the modeling of context information.…”

Section: Introductionmentioning

confidence: 99%

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Ontology-based context-sensitive software security knowledge management modeling

Alenezi¹

2020

IJECE

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The disconcerting increase in the number of security attacks on software calls for an imminent need for including secure development practices within the software development life cycle. The software security management system has received considerable attention lately and various efforts have been made in this direction. However, security is usually only considered in the early stages of the development of software. Thus, this leads to stating other vulnerabilities from a security perspective. Moreover, despite the abundance of security knowledge available online and in books, the systems that are being developed are seldom sufficiently secure. In this paper, we have highlighted the need for including application context sensitive modeling within a case-based software security management system. Furthermore, we have taken the context-driven and ontology-based frameworks and prioritized their attributes according to their weights which were achieved by using the Fuzzy AHP methodology.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: C1mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Ontology-based context-sensitive software security knowledge management modeling

Alenezi¹

2020

IJECE

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Context-Sensitive Case-Based Software Security Management System

Alenezi

Khan

2019

Intelligent Systems Applications in Software Engineering

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A Systematic Literature Review of The Role of Ontology in Modeling Knowledge in Software Development Processes

Triandini

Kristyanto

Rishika

et al. 2021

JTS

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Ontology in software development is explained as presenting the properties of things within a domain knowledge and how they are interrelated to each other by defining a set of notions and taxonomies that exemplify the knowledge. It is used to determine the ambiguity in the software requirements specification. Though averred to be useful, the software engineering communities are still unfamiliar with the role of Ontology in modeling knowledge in software development processes. Moreover, not much has been known about the role of Ontology in software engineering processes.The objective is to map and explain the substantiation about the role of Ontology in Modelling Knowledge and the challenge faced by the software engineering team to understand how far ontology can help them determine the ambiguity in modeling and software development processes. We have carried out a methodical review of the literature issued between 2012 and 2021 and recognized 150 publications that talk over the role of ontology in modeling knowledge in software development processes. This study conveyed and employed particular inclusion and exclusion criteria in bi-rounds to establish the utmost pertinent publications for our research objective. The review acknowledged 22 applications that explain ontologies' primary role in software development processes. However, our findings suggest ontology's role in software engineering as a investigation background requires extra consideration.A further experimental result I needed to better understand the role of ontology in modeling knowledge in software development with quality requirements as well as self-organizing groups.

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An Ontology-Based Context Model for Managing Security Knowledge in Software Development

Cited by 5 publications

References 26 publications

Ontology-based context-sensitive software security knowledge management modeling

Ontology-based context-sensitive software security knowledge management modeling

Context-Sensitive Case-Based Software Security Management System

A Systematic Literature Review of The Role of Ontology in Modeling Knowledge in Software Development Processes

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