中国计算机学会（CCF）推荐学术会议-C（软件工程/系统软件/程序设计语言）：EASE 2026

EASE 2026

The International Conference on Evaluation and Assessment in Software Engineering (EASE) is one of the premier conferences for research related to empirical software engineering. The EASE research track seeks high-quality submissions of technical research papers describing original and unpublished results.

重要信息

CCF推荐：C（软件工程/系统软件/程序设计语言）

录用率：25.4%（32/126，2024年）

时间地点：2026年6月9日-格拉斯哥·苏格兰

截稿时间：2026年1月16日

大会官网：https://conf.researchr.org/home/ease-2026

Call for Papers

Meta-science (e.g., papers about research methods and methodological issues, whether empirical or conceptual)

Infrastructure and techniques for conducting empirical studies on software engineering.

Theory development, operationalization, testing, and application.

Applications of evaluation and assessment in specific contexts, such as:

Software Requirements

Software Architecture

Data-Driven Software Engineering

Global Software Engineering

Software Design

Software Construction

Software Testing

Software Operations

DevOps and Continuous Delivery

Software Maintenance

Software Configuration Management

Software Engineering Management

Software Engineering Models and Methods

Software Engineering Process (e.g., agile, hybrid)

Software Quality

AI-Based Software Development.

Human factors and behavioral aspects of Software Engineering.

Software development practices and process improvement.

Sustainability in Software Engineering.

Inter- or multi-disciplinary studies intersecting software engineering.

Artificial Intelligence for Software Engineering.

Ethics in Software Engineering.

How to Submit

All papers must be submitted in PDF format through the web-based submission system EasyChair for EASE 2026. Submissions must not exceed 10 pages for the main text, including all figures, tables, appendices, etc. Up to two additional pages containing ONLY references are permitted.

Double-anonymous review

EASE 2026 will employ a double-anonymous review process. Do not include author names or affiliations in submissions. All references to the author’s prior work should be in the third person. Any online supplements, replication packages, etc., referred to in the work should also be anonymized. Advice for sharing supplements anonymously can be found here.