2026· International Journal of Advanced Computer Science and Applications· 0 citations· 25 references
TL;DR
It is shown that the enhanced Zynerator framework reduces development effort, strengthens security posture, and accelerates DevSecOps adoption, indicating that DevSecOps-aware model-driven engineering offers a viable pathway toward secure, auto-mated software delivery.
Abstract
We propose an extension to Zynerator, a Model-Driven Architecture framework for automated microservice generation, that embeds DevSecOps principles directly at the modeling stage through semantic decorators. These decorators enable the automated synthesis of secure back-end and front-end components together with operational artifacts, including authentication and authorization modules, audit trails, monitoring dashboards, and DevSecOps pipelines covering SAST, DAST, testing, and deployment. The approach addresses a key limitation of the original Zynerator framework, namely the absence of explicit DevSecOps integration, and supports a security-by-design methodology that reduces reliance on specialized DevSecOps expertise. Through a detailed e-commerce case study and empirical evaluation against manual development and existing Model-Driven Architecture tools, we show that the enhanced framework reduces development effort, strengthens security posture, and accelerates DevSecOps adoption. These findings indicate that DevSecOps-aware model-driven engineering offers a viable pathway toward secure, auto-mated software delivery.
This research proposes the evaluation of a “proxy” DevSecOps pipeline, defined as an automated intermediary architecture that decouples intensive security scanning from the primary build flow to prevent bottlenecks and demonstrates that security validation is the most time-intensive part of the automated proxy workflow...
Abderrahim Rida, A. Bakhil, Ayoub Ait Lahcen· Future Internet· 0 citations
Microservice-based systems evolve continuously through API changes, service splits and merges, dependency churn, and deployment-topology drift driven by DevOps practices. This rapid evolution erodes the assumptions encoded in formal models, test suites, and architectural descriptions, leaving practitioners with limited...
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A. Amirova· International Journal of Wir...· 0 citations
The Adaptive Risk-Driven DevSecOps Framework (ARDDSF) is proposed, a layered framework for securing multi-cloud enterprise systems in the era of agentic artificial intelligence that bridges DevSecOps automation, AI-assisted security analysis, Zero Trust policy enforcement, and multi-cloud governance.
Nitin Bodade· International Journal of Inn...· 0 citations
This thesis provides actionable guidance for reducing PR delays by characterizing and improving key efficiency bottlenecks, and offers recommendations for improving vulnerability management by developing an LLM-based, low-noise, evidence-driven security alert system.
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SaaSGenAI is an AI-driven framework for generating and deploying Software-as-a-Service (SaaS) applications from natural language requirements. Developing SaaS applications traditionally requires significant programming expertise, manual configuration, and considerable development time, making it challenging for startup...
S. Uke, Samruddhi Walunjkar, S. Ukirade et al.· 2026 6th International Confe...· 0 citations
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