2nd Workshop on Gen AI-Based Software Engineering Call for Abstracts and Call for Papers

We are excited to announce the 2nd Workshop on GenAI based Software engineering (https://genai4se.github.io/ISEC25-Workshop/) at ISEC 2025.

About: Software Engineering (SE) is an effort-intensive and time-consuming activity. While Model-Driven Engineering (MDE), Knowledge Engineering (KE), and Reverse Engineering (RE) have mitigated some of the challenges, the emergence of Generative AI techniques holds the potential for a substantial breakthrough. The new paradigm of LLM Based AI agents have demonstrated effectiveness in a variety of SE tasks. From SE perspective, there is a need to analyze how LLM-based agents can tackle tasks across Software Development Lifecycle (SDLC) and how to design the basic agentic components, including planning, memory, perception, action and their roles and collaboration mechanisms, in multi-agent settings.

Objective: The Workshop on GenAI Based Software Engineering aims to provide a collaborative platform for researchers from academia industry, and practitioners to delve into the convergence of traditional MDE, KE, and RE methodologies and software engineering approaches together with Generative AI technologies. This workshop is a part of 18th ISEC 2025 conference (https://conf.researchr.org/home/isec-2025) that will be held at NIT, KURUKSHETRA, INDIA from 20 to 22 February 2025.

Call for Abstracts and Papers: We solicit submissions in the form of one-page abstract (max 500 words) OR papers of maximum 5-pages + 1-page references in the standard ACM format. describing case studies, interesting experiments, techniques and best practices, and lessons learned while applying Generative AI and LLM agent frameworks to various SE areas, but not limited to the following topics:

  • Agentic frameworks for SE
  • •ntelligent Code Assistants
  • Neuro-Symbolic Approaches for SE
  • GenAI Frameworks for SE with Human in the Loop
  • Advanced Retrieval Augmentation for SE
  • Datasets for SE
  • LLMs for Knowledge Engineering
  • Tuning of SLMs (Small Language Models) for SE
  • Technical Risks associated in AI/ML implementations
  • Negative Results demonstrating failed application of GenAI for SE
  • Low-cost GenAI solutions for SE
  • Reliability of GenAI generated software artifacts
  • LLMs as a judge for evaluation of SE tasks

Important Dates:

Last date for submission (extended): 5 Jan 2025

Notification of acceptance: 22 Jan 2025

Organizers:

Raveendra Kumar M , Asha Rajbhoj , Manasi Patwardhan , Lalit Mohan , Vibhu Saujanya Sharma , Ravindra Naik