Call for Papers:

Prospective participants are invited to submit technical papers of up to 10 pages using AISC Springer's format guidelines. Relevant topics include (but are not limited to):

We invite original contributions (research papers, industrial reports, or emerging-results sketches) on topics including, but not limited to:

• Learning-based program synthesis, repair, and refactoring
• Large-language-model assistants for requirements, design, or code review
• Search-based optimisation of testing, configuration, or deployment pipelines
• Autonomous generation or evolution of software documentation
• AI techniques for technical-debt detection and mitigation
• Engineering methodologies for trustworthy, ethically aligned AI systems
• Human-centric evaluations of intelligent SE tools (usability, cognition, adoption)
• Case studies from industry, open-source, or education contexts
• Scalable AI algorithms for mining large scale software repositories
• Machine learning techniques for software maintenance prediction
• Deep learning models for software development and production challenges
• Software architecture knowledge extraction using ML
• Software optimization using evolutionary algorithms
• Mining software specifications
AI based computer assisted coding
• Code Churn Prediction
• Technical debt identification using ML
• Intelligent Software Summarization
• Program comprehension using ML
• Intelligent software traceability
• AI models/techniques for software artifacts’ quality evaluation
• Advancement in intelligent technologies for SE
• Intelligent software reverse engineering

What and where to submit

Prospective authors should prepare manuscripts of up to 6 pages (including figures and references) following the IEEE Conference Proceedings format. Submissions must be anonymous and will undergo double-blind review by at least three programme-committee members. Prospective participants are invited to submit technical papers of up to 6 pages using IEEE/APSEC format guidelines. easychair system. .