most citedLLM4SCREENLIT: Recommendations on Assessing the Performance of Large Language Models for Screening Literature in Systematic Reviews

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.SE2026

Preliminary Guidelines for Using and Evaluating GenAI Tools to Support Systematic Literature Reviews

Barbara Kitchenham, Sebastián Pizard, Lech Madeyski +3

Context: Generative AI (GenAI) and Large Language Models (LLMs) are increasingly used for academic tasks in software engineering and beyond, including systematic literature reviews…

cs.SE20261 cited

LLM4SCREENLIT: Recommendations on Assessing the Performance of Large Language Models for Screening Literature in Systematic Reviews

Lech Madeyski, Barbara Kitchenham, Martin Shepperd

Context: Large language models (LLMs) are increasingly used to screen literature for systematic reviews (SRs), but the standard confusion-matrix metrics used to evaluate them can m…

cs.SE2026

Triage: Routing Software Engineering Tasks to Cost-Effective LLM Tiers via Code Quality Signals

Lech Madeyski

Context: AI coding agents route every task to a single frontier large language model (LLM), paying premium inference cost even when many tasks are routine. Objectives: We propose T…

cs.CY2026

The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas

Aleksander Jarzębowicz, Adam Przybyłek, Jacinto Estima +14

As organizations grapple with the rapid adoption of Generative AI (GenAI), this study synthesizes the state of knowledge through a systematic literature review of secondary studies…

cs.SE2026

Test Case Prioritization: A Snowballing Literature Review and TCPFramework with Approach Combinators

Tomasz Chojnacki, Lech Madeyski

Context: Test case prioritization (TCP) is a technique widely used by software development organizations to accelerate regression testing. Objectives: We aim to systematize existin…

cs.SE2026

How Software Engineering Research Overlooks Local Industry: A Smaller Economy Perspective

Klara Borowa, Andrzej Zalewski, Lech Madeyski

The software engineering researchers from countries with smaller economies, particularly non-English speaking ones, represent valuable minorities within the software engineering co…