Lech Madeyski - RankMe

84 papers A* 2A 3B 6Journal 47Unranked 17

Year	Rank	Type	Title / 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