Abstract

Modern software systems are developed within complex socio-technical ecosystems that involve software engineering processes, open collaboration models, privacy regulations, and security mechanisms. While digital twins have been proposed to model and optimize software engineering processes, existing approaches largely overlook the ideological drivers of open source communities and the increasing requirements for browser-based privacy and authentication protections. In this paper, we propose an Ideology-Aware Digital Twin (IA-DT) framework that integrates: (i) process-level digital twins for software engineering, (ii) ideological modeling of open source communities, and (iii) privacy- and security-aware browser-level telemetry abstractions. The proposed framework enables continuous monitoring, simulation, and optimization of development workflows while ensuring compliance with privacy preferences and secure authentication practices. We present the architecture, formal model, algorithmic realization, and an illustrative running example. Experimental analysis using simulated development and web interaction datasets demonstrates improvements in process efficiency, privacy compliance, and security risk reduction. The paper concludes with future directions toward self-adaptive, ethically grounded digital engineering ecosystems.