区块链会议投稿资讯CCF A--ICSE 2025 截止8.2 附录用率

Conference：International Conference on Software Engineering (ICSE)

CCF level：CCF A

Categories：Software Engineering/System Software/Programming Languages

Year：2025

Conference time：  April 27-May 3 2025

录用率： ICSE 2024共收投稿1051篇，最终录取234篇，录用率22.2%。其中区块链论文13篇，详情请点击此处查看

Research Areas

AI for Software Engineering

• AI-enabled recommender systems for automated SE (e.g., code generation, program repair, AIOps, software composition analysis, etc.)

• Human-centered AI for SE (e.g., how software engineers can synergistically work with AI agents)

• Trustworthy AI for SE (e.g., how to provide guarantees, characterize limits, and prevent misuse of AI for SE)

• Sustainable AI for SE (e.g., how to reduce energy footprint for greener AI for SE)

• Collaborative AI for SE (e.g., how AI agents collaborate for automating SE)

• Automating SE tasks with LLM and other foundation models (e.g., large vision model)

• Efficacy measurement beyond traditional metrics (e.g., accuracy, BLEU, etc.)

• Prompt engineering for SE (e.g., novel prompt design)

• AI-assisted software design and model driven engineering (e.g., specification mining, program synthesis, software architectural design)

Analytics

• Mining software repositories, including version control systems, issue tracking systems, software ecosystems, configurations, app stores, communication platforms, and novel software engineering data sources, to generate insights through various research methods

• Software visualization

• Data-driven user experience understanding and improvement

• Data driven decision making in software engineering

• Software metrics (and measurements)

Architecture and Design

• Architecture and design measurement and assessment

• Software design methodologies, principles, and strategies

• Theory building for/of software design

• Architecture quality attributes, such as security, privacy, performance, reliability

• Modularity and reusability

• Design and architecture modeling and analysis

• Architecture recovery

• Dependency and complexity analysis

• Distributed architectures, such as microservice, SOA, cloud computing

• Patterns and anti-patterns

• Technical debt in design and architecture

• Architecture refactoring

• Adaptive architectures

• Architecture knowledge management

Dependability and Security

• Formal methods and model checking (excluding solutions focusing solely on hardware)

• Reliability, availability, and safety

• Resilience and antifragility

• Confidentiality, integrity, privacy, and fairness

• Performance

• Design for dependability and security

• Vulnerability detection to enhance software security

• Dependability and security for embedded and cyber-physical systems

Evolution

• Evolution and maintenance

• API design and evolution

• Release engineering and DevOps

• Software reuse

• Refactoring and program differencing

• Program comprehension

• Reverse engineering

• Environments and software development tools

• Traceability to understand evolution

Human and Social Aspects

• Focusing on individuals (from program comprehension, workplace stress to job satisfaction and career progression)

• Focusing on teams (e.g., collocated, distributed, global, virtual; communication and collaboration within a team), communities (e.g., open source, communities of practice) and companies (organization, economics)

• Focusing on society (e.g., sustainability; diversity and inclusion)

• Focusing on programming languages, environments, and tools supporting individuals, teams, communities, and companies.

• Focusing on software development processes

Requirements and Modeling

• Requirements engineering (incl. non-functional requirements)

• Theoretical requirement foundations

• Requirements and architecture

• Feedback, user and requirements management

• Requirements traceability and dependencies

• Modeling and model-driven engineering

• Variability and product lines

• Systems and software traceability

• Modeling languages, techniques, and tools

• Empirical studies on the application of model-based engineering

• Model-based monitoring and analysis

Software Engineering for AI

• SE for AI models

• SE for systems with AI components

• SE for AI code, libraries, and datasets

• Engineering autonomic systems and self-healing systems

• Automated repair of AI models

• Testing and verification of AI-based systems

• Validation and user-based evaluation of AI-based systems

• Requirements engineering for AI-based systems

Testing and Analysis

• Software testing

• Automated test generation techniques such as fuzzing, search-based approaches, and symbolic execution

• Testing and analysis of non-functional properties

• GUI testing

• Mobile application testing

• Program analysis

• Program synthesis (e.g., constraint based techniques)

• Program repair

• Debugging and fault localization

• Runtime analysis and/or error recovery

Important Dates

First submission cycle

• (Mandatory) Abstract: Mar 15, 2024

• Submission: Mar 22, 2024

• Author response period (3 days): Jun 10-13, 2024

• Notification: Jul 5, 2024

• Revision due: Aug 2, 2024

• Camera-ready (of directly accepted papers): Aug 16, 2024

• Final decision (of revised papers): Nov 1, 2024

• Camera-ready (of accepted revised papers): Dec 13, 2024

Second submission cycle

• (Mandatory) Abstract: Jul 26, 2024

• Submission: Aug 2, 2024

• Author response period (3 days): Oct 7-10, 2024

• Notification: Nov 1, 2024

• Revision due: Nov 29, 2024

• Camera-ready (of directly accepted papers): Dec 13, 2024

• Final decision (of revised papers): Jan 22, 2025

• Camera-ready (of accepted revised papers): Feb 12, 2025

All dates are 23:59:59 AoE (UTC-12h).

详情：https://conf.researchr.org/track/icse-2025/icse-2025-research-track

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