会議情報

CAIN 2026: International Conference on AI Engineering – Software Engineering for AI

会議のウェブサイトを表示するにはログインしてください

提出日:
2025-10-16
通知日:
2026-01-05
会議日:
2026-04-12
場所:
Rio de Janeiro, Brazil
年:
5
閲覧: 2628   追跡: 0   出席: 0

論文募集

CAIN 2026 (International Conference on AI Engineering – Software Engineering for AI) is an academic conference held in Rio de Janeiro, Brazil on 2026-04-12. The paper submission deadline is 2025-10-16. Acceptance notifications are sent on 2026-01-05.

Scope and Topics of Interest The area of interest for CAIN is Software Engineering for AI-Enabled Systems, i.e., systems that contain at least one AI component. An AI component is a software component that uses at least one AI technique to provide (parts of) its functionality, such as ML models, generative AI like large language models (LLMs), reinforcement learning, symbolic AI, AI planning, evolutionary algorithms, etc. CAIN focuses on a system and/or life cycle perspective. Relevant topics therefore include, but are not limited to: Requirements engineering for AI-enabled systems, e.g., elicitation, specification, or management, and the relationship of requirements to AI/ML model development. Data management for AI-enabled systems to ensure relevance and efficiency related to stakeholder goals. System and software architecture for AI-enabled systems, e.g., architecture modeling, architectural tactics, architecture/design patterns, or reference architectures. Integration of AI and software development activities into the AI engineering life cycle, e.g., continuous integration and deployment, operation and monitoring, and system and software evolution. Assurance and management of system quality attributes and their relationship to AI/ML properties, including runtime properties such as performance efficiency, safety, security, and reliability; and life cycle properties such as reusability, maintainability, evolvability, and observability. Collaboration, organizational, and management practices for the successful engineering of AI-enabled systems. Building effective infrastructures to support the development and operation of AI-enabled systems and components. Software engineering methods and tools for next-gen AI-enabled systems, e.g., systems that integrate foundation models or AI agents.
最終更新 Dou Sun

関連会議

CCFCOREQUALIS省略名完全な名前提出日通知日会議日
aa*a1FSEACM SIGSOFT Symposium on the Foundations of Software Engineering2026-10-022027-03-312027-07-12
cbAPSECAsia-Pacific Software Engineering Conference2026-06-302026-12-07
aa*a1ICSEInternational Conference on Software Engineering2026-06-232026-10-202027-04-25
baa2ESEMInternational Symposium on Empirical Software Engineering and Measurement2026-04-222026-06-302026-10-04
aaa1ASEInternational Conference on Automated Software Engineering2026-03-262026-05-252026-10-12
cb3ICSEAInternational Conference on Software Engineering Advances2024-06-172024-08-042024-09-29
aa*a2ESECEuropean Software Engineering Conference2022-03-102022-06-142022-11-14
bb1CBSEInternational ACM SIGSOFT Symposium on Component Based Software Engineering2016-01-182016-02-152016-04-05
cSEInternational Conference on Software Engineering2012-09-262012-11-152013-02-11
cb3AOSEInternational Workshop on Agent-Oriented Software Engineering2012-04-062012-06-04

関連仕訳帳

CCF完全な名前インパクト ・ ファクター出版社ISSN
aACM Transactions on Software Engineering and Methodology6.2ACM1049-331x
Advances in Engineering Software5.7Elsevier0965-9978
aIEEE Transactions on Software Engineering5.6IEEE0098-5589
Engineering with Computers4.9Springer0177-0667
bEmpirical Software Engineering3.6Springer1382-3256
Bioprocess and Biosystems Engineering Bioprocess and Biosystems Engineering3.6Springer1615-7591
bAutomated Software Engineering3.1Springer0928-8910
Inverse Problems in Science and Engineering2.5Taylor & Francis1741-5977
Computing in Science & Engineering1.9IEEE1521-9615
Journal of Information Science and Engineering1.100Institute of Information Science0000-0000

トラッカー
結果が得られませんでした。
出席者時間
結果が得られませんでした。
サプライズ