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20242026
most citedDeveloping Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience Report

8 citations · 15 across the 12 of their papers we have counts for

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8 papers · 1 filter

cs.SE2026

AI Sandbox: Technical Report

Muhammad Waseem, Md Aidul Islam, Md Nasir Uddin Shuvo +8

Collaborative AI experimentation across industry and academia requires platforms that enable rapid prototyping while preserving controlled access, tenant separation, and transparen…

cs.SE2026

TDD Governance for Multi-Agent Code Generation via Prompt Engineering

Tarlan Hasanli, Shahbaz Siddeeq, Bishwash Khanal +3

Large language models (LLMs) accelerate software development but often exhibit instability, non-determinism, and weak adherence to development discipline in unconstrained workflows…

cs.SE2026

LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review

Zeeshan Rasheeda, Muhammad Waseema, Kai-Kristian Kemella +2

Large Language Models (LLMs) have enabled multi-agent systems to perform autonomous code generation for complex tasks. Despite the recent growth in research and industrial applicat…

cs.SE2026

Engineering a Governance-Aware AI Sandbox: Design, Implementation, and Lessons Learned

Muhammad Waseem, Md Aidul Islam, Md Nasir Uddin Shuvo +8

Collaborative AI experimentation in industry-academia requires environments that support rapid trials while maintaining controlled access, organisational isolation, and traceable w…

cs.SE2025★ 2 cited

AI and Agile Software Development: A Research Roadmap from the XP2025 Workshop

Zheying Zhang, Tomas Herda, Victoria Pichler +20

This paper synthesizes the key findings from a full-day XP2025 workshop on "AI and Agile: From Frustration to Success", held in Brugg-Windisch, Switzerland. The workshop brought to…

cs.SE2024★ 3 cited

The EU AI Act is a good start but falls short

Chalisa Veesommai Sillberg, Jose Siqueira De Cerqueira, Pekka Sillberg +2

The EU AI Act was created to ensure ethical and safe Artificial Intelligence (AI) development and deployment across the EU. This study aims to identify key challenges and strategie…

cs.SE2024

TimeLess: A Vision for the Next Generation of Software Development

Zeeshan Rasheed, Malik Abdul Sami, Jussi Rasku +16

Present-day software development faces three major challenges: complexity, time consumption, and high costs. Developing large software systems often requires battalions of teams an…

cs.SE2024★ 8 cited

Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience Report

Ayman Asad Khan, Md Toufique Hasan, Kai Kristian Kemell +2

This paper presents an experience report on the development of Retrieval Augmented Generation (RAG) systems using PDF documents as the primary data source. The RAG architecture com…