Lech Madeyski

84 papers A* 2A 3B 6Journal 47Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
How Software Engineering Research Overlooks Local Industry: A Smaller Economy Perspective.
CoRR
Klara Borowa, Andrzej Zalewski, Lech Madeyski
2026 J jnl
How vulnerability explanations help software practitioners confirm and fix code vulnerabilities.
Inf. Softw. Technol.
Fahad Al Debeyan, Tracy Hall, Lech Madeyski, Emily Winter
2026 J jnl
Test Case Prioritization: A Snowballing Literature Review and TCPFramework with Approach Combinators.
CoRR
Tomasz Chojnacki, Lech Madeyski
2026 J jnl
Test case prioritization: A systematic review using snowballing and TCPFramework with approach combinators.
Inf. Softw. Technol.
Tomasz Chojnacki, Lech Madeyski
2026 J jnl
The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas.
CoRR
Aleksander Jarzebowicz, Adam Przybylek, Jacinto Estima, Yen Ying Ng, Jakub Swacha, Beata Zielosko, Lech Madeyski, Noel Carroll, Kai-Kristian Kemell, Bartosz Marcinkowski, Alberto Rodrigues da Silva, Viktoria Stray, Netta Iivari, Anh Nguyen-Duc, Jorge Melegati, Boris Delibasic, Emilio Insfrán
2025 J jnl
"Your AI is impressive, but my code does not have any bugs" managing false positives in industrial contexts.
Sci. Comput. Program.
Szymon Stradowski, Lech Madeyski
2025 — conf
Emerging Results in Using Explainable AI to Improve Software Vulnerability Prediction.
SIGSOFT FSE Companion
Fahad Al Debeyan, Tracy Hall, Lech Madeyski
2025 J jnl
Interpretability/Explainability Applied to Machine Learning Software Defect Prediction: An Industrial Perspective.
IEEE Softw.
Szymon Stradowski, Lech Madeyski
2025 J jnl
LLM4SCREENLIT: Recommendations on Assessing the Performance of Large Language Models for Screening Literature in Systematic Reviews.
CoRR
Lech Madeyski, Barbara A. Kitchenham, Martin J. Shepperd
2025 J jnl
Predicting test failures induced by software defects: A lightweight alternative to software defect prediction and its industrial application.
J. Syst. Softw.
Lech Madeyski, Szymon Stradowski
2024 — conf
An Empirical Analysis of the Usage of Requirements Attributes in Requirements Engineering Research and Practice.
ICCCI (2)
Krzysztof Wnuk, Lech Madeyski, Waleed Abdeen, Sneha Penmetsa, Navya Lingampalli
2024 — conf
Costs and Benefits of Machine Learning Software Defect Prediction: Industrial Case Study.
SIGSOFT FSE Companion
Szymon Stradowski, Lech Madeyski
2024 J jnl
Recommendations for analysing and meta-analysing small sample size software engineering experiments.
Empir. Softw. Eng.
Barbara A. Kitchenham, Lech Madeyski
2024 J jnl
The impact of hard and easy negative training data on vulnerability prediction performance.
J. Syst. Softw.
Fahad Al Debeyan, Lech Madeyski, Tracy Hall, David Bowes
2023 A* conf
Bridging the Gap Between Academia and Industry in Machine Learning Software Defect Prediction: Thirteen Considerations.
ASE
Szymon Stradowski, Lech Madeyski
2023 — conf
Can we Knapsack Software Defect Prediction? Nokia 5G Case.
ICSE Companion
Szymon Stradowski, Lech Madeyski
2023 J jnl
Continuous build outcome prediction: an experimental evaluation and acceptance modelling.
Appl. Intell.
Marcin Kawalerowicz, Lech Madeyski
2023 J jnl
Detecting code smells using industry-relevant data.
Inf. Softw. Technol.
Lech Madeyski, Tomasz Lewowski
2023 J jnl
Exploring the challenges in software testing of the 5G system at Nokia: A survey.
Inf. Softw. Technol.
Szymon Stradowski, Lech Madeyski
2023 J jnl
How Should Software Engineering Secondary Studies Include Grey Material?
IEEE Trans. Software Eng.
Barbara A. Kitchenham, Lech Madeyski, David Budgen
2023 J jnl
Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review.
Inf. Softw. Technol.
Szymon Stradowski, Lech Madeyski
2023 J jnl
Machine learning in software defect prediction: A business-driven systematic mapping study.
Inf. Softw. Technol.
Szymon Stradowski, Lech Madeyski
2023 J jnl
SEGRESS: Software Engineering Guidelines for REporting Secondary Studies.
IEEE Trans. Software Eng.
Barbara A. Kitchenham, Lech Madeyski, David Budgen
2022 J jnl
How far are we from reproducible research on code smell detection? A systematic literature review.
Inf. Softw. Technol.
Tomasz Lewowski, Lech Madeyski
2022 J jnl
The Importance of the Correlation in Crossover Experiments.
IEEE Trans. Software Eng.
Barbara A. Kitchenham, Lech Madeyski, Giuseppe Scanniello, Carmine Gravino
2021 — conf
ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews.
ICCS (3)
Marek Sosnicki, Lech Madeyski
2021 J jnl
Cloud Solutions for Private Permissionless Blockchain Deployment.
Comput. Informatics
Hanna Grodzicka, Michal Kedziora, Lech Madeyski
2021 — conf
Continuous Build Outcome Prediction: A Small-N Experiment in Settings of a Real Software Project.
IEA/AIE (2)
Marcin Kawalerowicz, Lech Madeyski
2021 — conf
Jaskier: A Supporting Software Tool for Continuous Build Outcome Prediction Practice.
IEA/AIE (2)
Marcin Kawalerowicz, Lech Madeyski
2021 — conf
Security and Scalability in Private Permissionless Blockchain: Problems and Solutions Leading to Creating Consent-as-a-Service (CaaS) Deployment.
ICCCI (CCIS Volume)
Hanna Grodzicka, Michal Kedziora, Lech Madeyski
2020 — ch.
Code Smell Prediction Employing Machine Learning Meets Emerging Java Language Constructs.
Data-Centric Business and Applications
Hanna Grodzicka, Arkadiusz Ziobrowski, Zofia Lakomiak, Michal Kawa, Lech Madeyski
2020 — ch.
Creating Evolving Project Data Sets in Software Engineering.
Integrating Research and Practice in Software Engineering
Tomasz Lewowski, Lech Madeyski
2020 — book
Data-Centric Business and Applications, Towards Software Development (Volume 4).
Data-Centric Business and Applications
Aneta Poniszewska-Maranda, Natalia Kryvinska, Stanislaw Jarzabek, Lech Madeyski
2020 — book
Integrating Research and Practice in Software Engineering
Stan Jarzabek, Aneta Poniszewska-Maranda, Lech Madeyski
2020 A conf
MLCQ: Industry-Relevant Code Smell Data Set.
EASE
Lech Madeyski, Tomasz Lewowski
2020 J jnl
Meta-analysis for families of experiments in software engineering: a systematic review and reproducibility and validity assessment.
Empir. Softw. Eng.
Barbara A. Kitchenham, Lech Madeyski, Pearl Brereton
2020 — ch.
Software Defect Prediction Using Bad Code Smells: A Systematic Literature Review.
Data-Centric Business and Applications
Pawel Piotrowski, Lech Madeyski
2020 J jnl
Technical Debt Aware Estimations in Software Engineering: A Systematic Mapping Study.
e Informatica Softw. Eng. J.
Pawel Klimczyk, Lech Madeyski
2019 J jnl
Empirical evaluation of continuous test-driven development in industrial settings.
J. Intell. Fuzzy Syst.
Lech Madeyski, Marcin Kawalerowicz
2019 A conf
Problems with Statistical Practice in Human-Centric Software Engineering Experiments.
EASE
Barbara A. Kitchenham, Lech Madeyski, Pearl Brereton
2018 A* conf
Effect sizes and their variance for AB/BA crossover design studies.
ICSE
Lech Madeyski, Barbara A. Kitchenham
2018 J jnl
Effect sizes and their variance for AB/BA crossover design studies.
Empir. Softw. Eng.
Lech Madeyski, Barbara A. Kitchenham
2018 J jnl
Introduction to the special section on Enhancing Credibility of Empirical Software Engineering.
Inf. Softw. Technol.
Lech Madeyski, Barbara A. Kitchenham, Krzysztof Wnuk
2018 — ed.
Towards a Synergistic Combination of Research and Practice in Software Engineering [papers from KKIO 2017, Rzeszów, Poland, 14-16 September 2017].
KKIO Software Engineering Conference
Piotr Kosiuczenko, Lech Madeyski
2017 J jnl
Addressing mutation testing problems by applying multi-objective optimization algorithms and higher order mutation.
J. Intell. Fuzzy Syst.
Quang Vu Nguyen, Lech Madeyski
2017 J jnl
Continuous Defect Prediction: The Idea and a Related Dataset.
CoRR
Lech Madeyski, Marcin Kawalerowicz
2017 — conf
Continuous Test-Driven Development: A Preliminary Empirical Evaluation Using Agile Experimentation in Industrial Settings.
KKIO Software Engineering Conference
Lech Madeyski, Marcin Kawalerowicz
2017 A conf
Continuous defect prediction: the idea and a related dataset.
MSR
Lech Madeyski, Marcin Kawalerowicz
2017 J jnl
Defect prediction with bad smells in code.
CoRR
Jaroslaw Hryszko, Lech Madeyski, Marta Dabrowska, Piotr Konopka
2017 J jnl
Robust Statistical Methods for Empirical Software Engineering.
Empir. Softw. Eng.
Barbara A. Kitchenham, Lech Madeyski, David Budgen, Jacky Keung, Pearl Brereton, Stuart M. Charters, Shirley Gibbs, Amnart Pohthong
2017 — ed.
Software Engineering: Challenges and Solutions - Results of the XVIII KKIO 2016 Software Engineering Conference 2016 held at September 15-17 2016 in Wroclaw, Poland
KKIO Software Engineering Conference
Lech Madeyski, Michal Smialek, Bogumila Hnatkowska, Zbigniew Huzar
2017 J jnl
Software Metrics in Boa Large-Scale Software Mining Infrastructure: Challenges and Solutions.
CoRR
Agnieszka Patalas, Wojciech Cichowski, Michal Malinka, Wojciech Stepniak, Piotr Mackowiak, Lech Madeyski
2017 J jnl
Would wider adoption of reproducible research be beneficial for empirical software engineering research?
J. Intell. Fuzzy Syst.
Lech Madeyski, Barbara A. Kitchenham
2016 — conf
Assessment of the Software Defect Prediction Cost Effectiveness in an Industrial Project.
KKIO Software Engineering Conference
Jaroslaw Hryszko, Lech Madeyski
2016 J jnl
Editorial.
e Informatica Softw. Eng. J.
Zbigniew Huzar, Lech Madeyski
2016 J jnl
Empirical Evaluation of Multiobjective Optimization Algorithms Searching for Higher Order Mutants.
Cybern. Syst.
Quang Vu Nguyen, Lech Madeyski
2016 — conf
Higher Order Mutation Testing to Drive Development of New Test Cases: An Empirical Comparison of Three Strategies.
ACIIDS (1)
Quang Vu Nguyen, Lech Madeyski
2016 — conf
On the Relationship Between the Order of Mutation Testing and the Properties of Generated Higher Order Mutants.
ACIIDS (1)
Quang Vu Nguyen, Lech Madeyski
2016 — conf
Software Engineering Needs Agile Experimentation: A New Practice and Supporting Tool.
KKIO Software Engineering Conference
Lech Madeyski, Marcin Kawalerowicz
2015 J jnl
Cross-Project Defect Prediction With Respect To Code Ownership Model: An Empirical Study.
e Informatica Softw. Eng. J.
Marian Jureczko, Lech Madeyski
2015 J jnl
Editorial.
e Informatica Softw. Eng. J.
Zbigniew Huzar, Lech Madeyski
2015 — conf
Searching for Strongly Subsuming Higher Order Mutants by Applying Multi-objective Optimization Algorithm.
ICCSAMA
Quang Vu Nguyen, Lech Madeyski
2015 J jnl
Which process metrics can significantly improve defect prediction models? An empirical study.
Softw. Qual. J.
Lech Madeyski, Marian Jureczko
2014 J jnl
Editorial.
e Informatica Softw. Eng. J.
Zbigniew Huzar, Lech Madeyski
2014 J jnl
Overcoming the Equivalent Mutant Problem: A Systematic Literature Review and a Comparative Experiment of Second Order Mutation.
IEEE Trans. Software Eng.
Lech Madeyski, Wojciech Orzeszyna, Richard Torkar, Mariusz Jozala
2014 — conf
Problems of Mutation Testing and Higher Order Mutation Testing.
ICCSAMA
Quang Vu Nguyen, Lech Madeyski
2013 B conf
Continuous Test-Driven Development - A Novel Agile Software Development Practice and Supporting Tool.
ENASE
Lech Madeyski, Marcin Kawalerowicz
2010 J jnl
Editorial.
e Informatica Softw. Eng. J.
Zbigniew Huzar, Lech Madeyski
2010 J jnl
Judy - a mutation testing tool for Java.
IET Softw.
Lech Madeyski, N. Radyk
2010 — book
Test-Driven Development - An Empirical Evaluation of Agile Practice.
Lech Madeyski
2010 J jnl
The impact of Test-First programming on branch coverage and mutation score indicator of unit tests: An experiment.
Inf. Softw. Technol.
Lech Madeyski
2010 — conf
Towards identifying software project clusters with regard to defect prediction.
PROMISE
Marian Jureczko, Lech Madeyski
2009 J jnl
Editorial.
e Informatica Softw. Eng. J.
Zbigniew Huzar, Lech Madeyski
2008 J jnl
Editorial.
e Informatica Softw. Eng. J.
Zbigniew Huzar, Lech Madeyski
2008 J jnl
Impact of pair programming on thoroughness and fault detection effectiveness of unit test suites.
Softw. Process. Improv. Pract.
Lech Madeyski
2007 — conf
Capable Leader and Skilled and Motivated Team Practices to Introduce eXtreme Programming.
CEE-SET
Lech Madeyski, Wojciech Biela
2007 J jnl
Empirical Evaluation of Novel Approaches to Software Engineering.
e Informatica Softw. Eng. J.
Zbigniew Huzar, Lech Madeyski
2007 B conf
Empirical Evidence Principle and Joint Engagement Practice to Introduce XP.
XP
Lech Madeyski, Wojciech Biela
2007 J jnl
Impact of aspect-oriented programming on software development efficiency and design quality: an empirical study.
IET Softw.
Lech Madeyski, Lukasz Szala
2007 B conf
On the Effects of Pair Programming on Thoroughness and Fault-Finding Effectiveness of Unit Tests.
PROFES
Lech Madeyski
2007 B conf
The Impact of Test-Driven Development on Software Development Productivity - An Empirical Study.
EuroSPI
Lech Madeyski, Lukasz Szala
2006 B conf
Is External Code Quality Correlated with Programming Experience or Feelgood Factor?
XP
Lech Madeyski
2006 B conf
The Impact of Pair Programming and Test-Driven Development on Package Dependencies in Object-Oriented Design - An Experiment.
PROFES
Lech Madeyski
2005 — ch.
Preliminary Analysis of the Effects of Pair Programming and Test-Driven Development on the External Code Quality.
Software Engineering: Evolution and Emerging Technologies
Lech Madeyski
2023 — conf
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.
AISec
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2026 — preprint
CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.
arXiv
Matti Schulze, Thorsten Holz, Felix C. Freiling