International Conference on Artificial Intelligence and Software Engineering ICAISE on August 21-23, 2026 in Tokyo, Japan - Conference Index

International Conference on Artificial Intelligence and Software Engineering ICAISE on August 21-23, 2026 in Tokyo, Japan

International Conference on Artificial Intelligence and Software Engineering (ICAISE) August 21, 2026 - Tokyo, Japan

Paper Publication:

All submissions will be peer reviewed by 2-3 reviewers. Accepted papers of ICAISE 2026 (after registration and presentation) will be collected in the ACM Proceedings and indexed by Ei Compendex, Scopus, and CPCI (Web of Science).


Keynote Speakers:

Prof. Limei Song from Tiangong University, China will be the keynote speaker.


Paper Submission:

Language : English is the official language of the conference; the paper should be written and presented only in English.

A. Full Paper (Presentation and Publication): Accepted full paper will be invited to give the oral presentation at the conference and be published in the conference proceeding.

B. Abstract (Presentation only): Accepted abstract will be invited to give the oral presentation or poster presentation at the conference, the presentation will not be published.

More information, please visit: https://icaise.org/submission.html

Please submit your papers by our online submission system: https://www.zmeeting.org/submission/icaise2026

If you have any enquiry, please contact: [email protected]


Contact ICAISE:

Conference Secretary : Miss Snow Zhong

Email: [email protected]

Tel : +86-021-59561560

Website : https://icaise.org/index.html

Call for Papers:

Topics of interest for submission include, but are not limited to:

Topic 1. AI-Driven Software Development Processes

AI for Requirements Engineering

AI-Assisted Design and Architecture

AI for Code Generation and Refactoring

AI in Continuous Integration/Continuous Deployment (CI/CD)


Topic 2. Machine Learning for Software Testing and Bug Detection

Automated Test Case Generation

Bug Detection and Prediction

AI-Powered Regression Testing

Test Coverage and Optimization


Topic 3. AI in Software Project Management and Estimation

AI for Project Estimation and Resource Allocation

Risk Management in Software Projects

AI for Task Prioritization in Agile Development

Predictive Analytics for Project Success


Topic 4. AI-Powered Code Generation and Optimization

AI-Assisted Code Writing

Code Optimization with Machine Learning

Context-Aware Code Suggestions

Automated Refactoring Using AI

More details, please view: https://icaise.org/cfp.html

Name: ACMSC
Website: http://www.acm-sg.org/

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