Capability and maturity model for Reuse: A comparative study

Younoussi, Siham; Roudiès, Ounsa

doi:10.1109/cloudtech.2016.7847714

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…3) System maintainability: As previously discussed, the new Knowledge-Based System (KBS) encryption system is constructed upon a modular architecture, where it comprises distinct modules, each responsible for specific functions. This modular design enhances code organization and simplifies system maintenance [22] [23]. Furthermore, the system incorporates a collection of well-established, standardized encryption algorithms, each with a proven track record of robustness and security.…”

Section: Discussionmentioning

confidence: 99%

Artificial Intelligence for Confidential Information Sharing Based on Knowledge-Based System

Boulahiat,

Trichni,

Bougrine

et al. 2023

IJACSA

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Ensuring the security of sensitive data and protecting user privacy remains one of the most significant challenges in our contemporary landscape. Organizations Companies cannot adopt a new technology without reassurance regarding data confidentiality. To address these challenges, we present an innovative system that draws upon extensive knowledge and expertise in the field of cryptography, especially in encryption methods. This system tailors its strategies to align with specific scenarios, prioritizing data confidentiality. Our solution is based on one of the Artificial Intelligence techniques, which is Knowledge-Based Systems (KBS) and extends the intelligent encryption methods from our previous research. However, this new system has taken a novel approach by reconfiguring this within KBS architecture. We have introduced additional technical components, including knowledge bases, an inference engine, and the Nearest Neighbor (NN) search algorithm. As a result, this revised architecture not only enhances security and system performance but also showcases improved maintainability and scalability.

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Section: Discussionmentioning

confidence: 99%

Artificial Intelligence for Confidential Information Sharing Based on Knowledge-Based System

Boulahiat,

Trichni,

Bougrine

et al. 2023

IJACSA

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“…As presented in the previous subsection, engineering can benefit from reuse, but to be efficient, it needs to be planned as it requires proper documentation and design [24]. It is, therefore, important to ensure that future development cycles incorporate a reuse approach that is planned and formalized.…”

Section: ) Planned Reuse (Pr)mentioning

confidence: 99%

Use of Patterns for Know-How Reuse in a Model-Based Systems Engineering Framework

Gouyon

Levrat

et al. 2020

IEEE Systems Journal

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The increasing complexity of systems being developed requires engineers to review their practices to improve engineering efficiency and meet the needs of a competitive market.To answer these challenges, engineers have always reused their know-how. However, facing today's rising complexity, reuse has to be much more performant. That is why models supported by formal or semiformal languages are preferred to avoid the variability of natural languages interpretation. In this context, Model-Based Systems Engineering (MBSE) made it possible to change the engineering paradigm by proposing a unique, shared system model. To promote and ease MBSE adoption, reuse should be fostered to respect the engineer's working method. A promising method for reusing models is based on the pattern concept. Thus, this paper aims to review and evaluate the pattern concept as a means of transferring know-how and fostering reuse in an MBSE approach.

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“…The main purpose of the RiSE Maturity Model is to support an incremental adoption and implementation of software reuse practices. Recent work by (Younoussi and Roudies 2016) has compiled and compared these and other maturity models for software to provides a classification of each model depending on criteria and parameters to help a company choose the right approach.…”

Section: State Of the Artmentioning

confidence: 99%

Towards a Maturity Assessment Scale for the Systems Engineering Assets Valorization to Facilitate Model‐Based Systems Engineering Adoption

Wu¹,

Gouyon²,

Boudau³

et al. 2019

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Capability and maturity model for Reuse: A comparative study

Cited by 5 publications

References 19 publications

Artificial Intelligence for Confidential Information Sharing Based on Knowledge-Based System

Artificial Intelligence for Confidential Information Sharing Based on Knowledge-Based System

Use of Patterns for Know-How Reuse in a Model-Based Systems Engineering Framework

Towards a Maturity Assessment Scale for the Systems Engineering Assets Valorization to Facilitate Model‐Based Systems Engineering Adoption

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