Información de la conferencia

ICoSSE 2027: International Conference on Software and System Engineering

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ICoSSE
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Día de Entrega:
2026-11-20 Faltan 62 días
Fecha de Notificación:
2026-12-20
Fecha de conferencia:
2027-04-05
Ubicación:
Paris, France
Ediciones:
Vistas: 8997   Seguidores: 3   Asistentes: 0

Índice Conference Partner (CP-I)

51,0 / 100
Puesto n.º 1.349 de 5.682 congresos · 24% superior

N.º 107 de 247 en Ingeniería de software

Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50 —
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
65
Atención de la comunidad (10%)
24
Integridad del registro público (15%)
55

Datos utilizados: Ediciones documentadas: 10 · Investigadores que lo siguen aquí: 3 · Investigadores que abrieron esta página en los últimos 24 meses: 3

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Premios al mejor artículo (+2,3)
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Confianza 45 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.1 · Calculado el 2026-09-19

Solicitud de Artículos

ICoSSE 2027 (International Conference on Software and System Engineering ) is an academic conference held in Paris, France on 2027-04-05. The paper submission deadline is 2026-11-20. Acceptance notifications are sent on 2026-12-20.

Topics and scopes are not limited, but as below： 1. AI-Driven Software Engineering & AI Systems Engineering This track focuses on the integration of generative AI, large language models (LLMs), and AI agents into the full lifecycle of software engineering. It also covers the systematic engineering methodologies for building reliable, explainable, and secure AI software systems. • LLM-based code generation, code comprehension, code refactoring and automated program repair • Autonomous AI agents and multi-agent collaboration for end-to-end software development • AI-enabled intelligent DevSecOps, automated CI/CD, testing and operational monitoring • System engineering for AI models, including model compression, distillation, deployment and optimization • Testing, verification, explainability and reliability assurance of AI software systems • Trustworthy AI software engineering, including hallucination mitigation, privacy protection and AI governance 2. Cloud-Edge-End Intelligent System Architecture & Development This track welcomes research on the design, evolution, optimization and quality assurance of complex distributed software systems. It covers cloud-native architecture, edge computing, embedded systems and large-scale service-oriented infrastructure. • Cloud-native architecture, microservices, service mesh, serverless computing and elastic scaling • Observability, chaos engineering and resilience optimization for distributed cloud systems • Edge AI inference, cloud-edge-end collaboration, IoT software and industrial embedded systems • Software-defined infrastructure, system virtualization, containerization and programmable networks • Legacy system modernization, architecture migration and technical debt management • API engineering, event-driven architecture and reliable distributed service computing 3. Software/System Quality, Security & Trustworthiness This track targets fundamental and applied research on software quality assurance, system security, privacy preservation and trustworthy computing. It accepts innovative works on testing, formal verification, cybersecurity and sustainable system reliability. • AI-enhanced software testing, fuzzing, static/dynamic analysis and regression testing optimization • Formal methods, model checking, theorem proving and runtime verification for complex systems • Software vulnerability detection, code auditing, SCA and software supply chain security • SBOM-based system security management and supply chain attack defense • Privacy-preserving technologies including federated learning, differential privacy and homomorphic encryption • System fault tolerance, high availability design and green & sustainable software engineering 4. Software & Systems Engineering for Emerging Domains This track explores interdisciplinary software and system engineering technologies for cutting-edge industry scenarios. It focuses on customized system design, verification and optimization for intelligent vertical application domains. • Software architecture, testing and functional safety for autonomous driving and V2X systems • Intelligent medical software, clinical decision systems and privacy-preserving healthcare platforms • FinTech software engineering, blockchain smart contract systems and financial risk control AI • Cyber-Physical Systems (CPS), digital twin and intelligent manufacturing software systems • Industrial robot software, MES system optimization and Industry 4.0 system engineering • Metaverse, VR/AR immersive systems, multimodal interaction and digital human software engineering
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