The central challenge in AI-augmented CI/CD is designing authority transfer from humans to agents under constraints, as current systems remain limited to bounded data-plane autonomy backed by external governance.
Canonical reference
Computer36(1), 41–50 (2003)
Canonical reference. 80% of citing Pith papers cite this work as background.
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Background
80% of classified citations
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UNVERDICTED 8representative citing papers
SAFT-GT is a new toolchain that bridges safety and security analysis for self-adaptive systems using Attack-Fault Tree generation and model combination, validated by a domain-expert user study.
SPEAR applies multi-agent systems with planning, execution, and repair agents using negotiation protocols to smart contract auditing and compares it empirically to centralized and pipeline approaches.
A framework that monitors LLM agent behavior, assesses reliability, and automatically heals failures to raise task success rates in multi-agent workflows.
ProMoTA integrates process modeling with automated end-to-end traceability generation and analysis for model transformation chains in MDE, demonstrated on a wireless sensor network IoT application.
eFLINT is a normative specification language combining declarative and procedural elements to support automated compliance reasoning before, during, and after software execution.
A research roadmap analyzing the current state of search-based software engineering with foundation models, outlining challenges and directions across three integration aspects.
This paper proposes a research agenda for software engineering of self-adaptive robotic systems along lifecycle stages and enabling technologies, identifying challenges and a roadmap to 2030.
citing papers explorer
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From Assistance to Agency: Rethinking Autonomy and Control in CI/CD Pipelines
The central challenge in AI-augmented CI/CD is designing authority transfer from humans to agents under constraints, as current systems remain limited to bounded data-plane autonomy backed by external governance.
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Bridging Safety and Security in Complex Systems: A Model-Based Approach with SAFT-GT Toolchain
SAFT-GT is a new toolchain that bridges safety and security analysis for self-adaptive systems using Attack-Fault Tree generation and model combination, validated by a domain-expert user study.
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SPEAR: An Engineering Case Study of Multi-Agent Coordination for Smart Contract Auditing
SPEAR applies multi-agent systems with planning, execution, and repair agents using negotiation protocols to smart contract auditing and compares it empirically to centralized and pipeline approaches.
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A Self-Healing Framework for Reliable LLM-Based Autonomous Agents
A framework that monitors LLM agent behavior, assesses reliability, and automatically heals failures to raise task success rates in multi-agent workflows.
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ProMoTA: a model-driven framework for end-to-end traceability analysis
ProMoTA integrates process modeling with automated end-to-end traceability generation and analysis for model transformation chains in MDE, demonstrated on a wireless sensor network IoT application.
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Reflections on the design, applications and implementations of the normative specification language eFLINT
eFLINT is a normative specification language combining declarative and procedural elements to support automated compliance reasoning before, during, and after software execution.
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Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap
A research roadmap analyzing the current state of search-based software engineering with foundation models, outlining challenges and directions across three integration aspects.
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Software Engineering for Self-Adaptive Robotics: A Research Agenda
This paper proposes a research agenda for software engineering of self-adaptive robotic systems along lifecycle stages and enabling technologies, identifying challenges and a roadmap to 2030.