Search Results - "MADEYSKI, Lech"

Can We Knapsack Software Defect Prediction? Nokia 5G Case.

Authors: Stradowski, Szymon Madeyski, Lech

Source: ICSE: International Conference on Software Engineering; 2023, p365-369, 5p

Test case prioritization: A systematic review using snowballing and TCPFramework with approach combinators.

Authors: Chojnacki, Tomasz Madeyski, Lech

Source: Information & Software Technology. Jun2026, Vol. 194, pN.PAG-N.PAG. 1p.

Recommendations for analysing and meta-analysing small sample size software engineering experiments.

Authors: Kitchenham, Barbara Madeyski, Lech

Source: Empirical Software Engineering. Nov2024, Vol. 29 Issue 6, p1-46. 46p.

CLOUD SOLUTIONS FOR PRIVATE PERMISSIONLESS BLOCKCHAIN DEPLOYMENT.

Authors: GRODZICKA, Hanna KEDZIORA, Michal MADEYSKI, Lech

Source: Computing & Informatics; 2021, Vol. 40 Issue 4, p880-896, 17p

OECD Recommendation's draft concerning access to research data from public funding: A review.

Authors: MADEYSKI, Lech LEWOWSKI, Tomasz KITCHENHAM, Barbara

Source: Bulletin of the Polish Academy of Sciences: Technical Sciences. 2021, Vol. 69 Issue 1, p1-5. 5p.

Inconsistencies with formulas for the standard error of the standardized mean difference of repeated measures experiments.

Authors: Kitchenham, Barbara Madeyski, Lech

Source: Statistics in Medicine. 11/30/2020, Vol. 39 Issue 27, p4101-4104. 4p.

How vulnerability explanations help software practitioners confirm and fix code vulnerabilities.

Authors: Al Debeyan, Fahad Hall, Tracy Madeyski, Lech et al.

Source: Information & Software Technology; Jul2026, Vol. 195, pN.PAG-N.PAG, 1p

Technical Debt Aware Estimations in Software Engineering: A Systematic Mapping Study.

Authors: Klimczyk, Paweł Madeyski, Lech

Source: e-Informatica; 2020, Vol. 14 Issue 1, p61-76, 16p

Empirical evaluation of continuous test-driven development in industrial settings.

Authors: Madeyski, Lech Kawalerowicz, Marcin Nguyen, Ngoc Thanh et al.

Source: Journal of Intelligent & Fuzzy Systems; 2019, Vol. 37 Issue 6, p7643-7655, 13p

Continuous build outcome prediction: an experimental evaluation and acceptance modelling.

Authors: Kawalerowicz, Marcin Madeyski, Lech

Source: Applied Intelligence. Apr2023, Vol. 53 Issue 8, p8673-8692. 20p.

Subjects: Software measurement, Technology Acceptance Model, Source code, Machine learning, Historic buildings, Forecasting

"Your AI is impressive, but my code does not have any bugs" managing false positives in industrial contexts.

Authors: Stradowski, Szymon Madeyski, Lech

Source: Science of Computer Programming. Dec2025, Vol. 246, pN.PAG-N.PAG. 1p.

Subjects: Computer software developers, Machine learning, Machinery industry, Artificial intelligence, 5G networks

Corrections to effect size variances for continuous outcomes of crossover clinical trials.

Authors: Kitchenham, Barbara Madeyski, Lech Curtin, François

Source: Statistics in Medicine. 1/30/2018, Vol. 37 Issue 2, p320-323. 4p.

Would wider adoption of reproducible research be beneficial for empirical software engineering research?

Authors: Madeyski, Lech Kitchenham, Barbara

Source: Journal of Intelligent & Fuzzy Systems; 2017, Vol. 32 Issue 2, p1509-1521, 13p

Addressing mutation testing problems by applying multi-objective optimization algorithms and higher order mutation.

Authors: Quang Vu Nguyen Madeyski, Lech

Source: Journal of Intelligent & Fuzzy Systems; 2017, Vol. 32 Issue 2, p1173-1182, 10p

Predicting test failures induced by software defects: A lightweight alternative to software defect prediction and its industrial application.

Authors: Madeyski, Lech Stradowski, Szymon

Source: Journal of Systems & Software. May2025, Vol. 223, pN.PAG-N.PAG. 1p.

Which process metrics can significantly improve defect prediction models? An empirical study.

Authors: Madeyski, Lech Jureczko, Marian

Source: Software Quality Journal; Sep2015, Vol. 23 Issue 3, p393-422, 30p

Overcoming the Equivalent Mutant Problem: A Systematic Literature Review and a Comparative Experiment of Second Order Mutation.

Authors: Madeyski, Lech Orzeszyna, Wojciech Torkar, Richard et al.

Source: IEEE Transactions on Software Engineering; Feb2014, Vol. 40 Issue 1, p23-42, 20p

Impact of pair programming on thoroughness and fault detection effectiveness of unit test suites.

Authors: Madeyski, Lech¹, lech.madeyski@pwr.wroc.pl

Source: Software Process: Improvement & Practice; May/Jun2008, Vol. 13 Issue 3, p281-295, 15p, 10 Charts, 4 Graphs

Meta-analysis for families of experiments in software engineering: a systematic review and reproducibility and validity assessment.

Authors: Kitchenham, Barbara Madeyski, Lech Brereton, Pearl

Source: Empirical Software Engineering. Jan2020, Vol. 25 Issue 1, p353-401. 49p.

Subjects: Meta-analysis, Software engineering, Reproducible research, Aggregation (Statistics), Descriptive statistics

Effect sizes and their variance for AB/BA crossover design studies.

Authors: Madeyski, Lech Kitchenham, Barbara

Source: Empirical Software Engineering. Aug2018, Vol. 23 Issue 4, p1982-2017. 36p.