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Lech Madeyski
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- affiliation: Wroclaw University of Technology, Institute of Informatics
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2020 – today
- 2024
- [j35]Barbara A. Kitchenham, Lech Madeyski
:
Recommendations for analysing and meta-analysing small sample size software engineering experiments. Empir. Softw. Eng. 29(6): 137 (2024) - [j34]Fahad Al Debeyan
The impact of hard and easy negative training data on vulnerability prediction performance. J. Syst. Softw. 211: 112003 (2024) - [c27]Krzysztof Wnuk, Lech Madeyski
An Empirical Analysis of the Usage of Requirements Attributes in Requirements Engineering Research and Practice. ICCCI (2) 2024: 29-40 - [c26]Szymon Stradowski
Costs and Benefits of Machine Learning Software Defect Prediction: Industrial Case Study. SIGSOFT FSE Companion 2024: 92-103 - 2023
- [j33]Marcin Kawalerowicz
Continuous build outcome prediction: an experimental evaluation and acceptance modelling. Appl. Intell. 53(8): 8673-8692 (2023) - [j32]Szymon Stradowski
Exploring the challenges in software testing of the 5G system at Nokia: A survey. Inf. Softw. Technol. 153: 107067 (2023) - [j31]Lech Madeyski
Detecting code smells using industry-relevant data. Inf. Softw. Technol. 155: 107112 (2023) - [j30]Szymon Stradowski
Machine learning in software defect prediction: A business-driven systematic mapping study. Inf. Softw. Technol. 155: 107128 (2023) - [j29]Szymon Stradowski
Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review. Inf. Softw. Technol. 159: 107192 (2023) - [j28]Barbara A. Kitchenham
How Should Software Engineering Secondary Studies Include Grey Material? IEEE Trans. Software Eng. 49(2): 872-882 (2023) - [j27]Barbara A. Kitchenham
SEGRESS: Software Engineering Guidelines for REporting Secondary Studies. IEEE Trans. Software Eng. 49(3): 1273-1298 (2023) - [c25]Szymon Stradowski
Can we Knapsack Software Defect Prediction? Nokia 5G Case. ICSE Companion 2023: 365-369 - [c24]Szymon Stradowski
Bridging the Gap Between Academia and Industry in Machine Learning Software Defect Prediction: Thirteen Considerations. ASE 2023: 1098-1110 - 2022
- [j26]Tomasz Lewowski
How far are we from reproducible research on code smell detection? A systematic literature review. Inf. Softw. Technol. 144: 106783 (2022) - [j25]Barbara A. Kitchenham
The Importance of the Correlation in Crossover Experiments. IEEE Trans. Software Eng. 48(8): 2802-2813 (2022) - 2021
- [j24]Hanna Grodzicka, Michal Kedziora, Lech Madeyski:
Cloud Solutions for Private Permissionless Blockchain Deployment. Comput. Informatics 40(4) (2021) - [c23]Marek Sosnicki
ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews. ICCS (3) 2021: 362-369 - [c22]Hanna Grodzicka
Security and Scalability in Private Permissionless Blockchain: Problems and Solutions Leading to Creating Consent-as-a-Service (CaaS) Deployment. ICCCI (CCIS Volume) 2021: 278-289 - [c21]Marcin Kawalerowicz
Continuous Build Outcome Prediction: A Small-N Experiment in Settings of a Real Software Project. IEA/AIE (2) 2021: 412-425 - [c20]Marcin Kawalerowicz
Jaskier: A Supporting Software Tool for Continuous Build Outcome Prediction Practice. IEA/AIE (2) 2021: 426-438 - 2020
- [j23]Pawel Klimczyk, Lech Madeyski:
Technical Debt Aware Estimations in Software Engineering: A Systematic Mapping Study. e Informatica Softw. Eng. J. 14(1) (2020) - [j22]Barbara A. Kitchenham, Lech Madeyski
Meta-analysis for families of experiments in software engineering: a systematic review and reproducibility and validity assessment. Empir. Softw. Eng. 25(1): 353-401 (2020) - [c19]Lech Madeyski, Tomasz Lewowski
MLCQ: Industry-Relevant Code Smell Data Set. EASE 2020: 342-347 - [p4]Pawel Piotrowski, Lech Madeyski
Software Defect Prediction Using Bad Code Smells: A Systematic Literature Review. Data-Centric Business and Applications 2020: 77-99 - [p3]Hanna Grodzicka
Code Smell Prediction Employing Machine Learning Meets Emerging Java Language Constructs. Data-Centric Business and Applications 2020: 137-167 - [p2]Tomasz Lewowski
Creating Evolving Project Data Sets in Software Engineering. Integrating Research and Practice in Software Engineering 2020: 1-14 - [e4]Aneta Poniszewska-Maranda, Natalia Kryvinska
Data-Centric Business and Applications, Towards Software Development (Volume 4). Lecture Notes on Data Engineering and Communications Technologies 40, Springer 2020, ISBN 978-3-030-34705-5 [contents] - [e3]Stan Jarzabek, Aneta Poniszewska-Maranda
Integrating Research and Practice in Software Engineering. Studies in Computational Intelligence 851, Springer 2020, ISBN 978-3-030-26573-1 [contents]
2010 – 2019
- 2019
- [j21]Lech Madeyski, Marcin Kawalerowicz
Empirical evaluation of continuous test-driven development in industrial settings. J. Intell. Fuzzy Syst. 37(6): 7643-7655 (2019) - [c18]Barbara A. Kitchenham, Lech Madeyski, Pearl Brereton:
Problems with Statistical Practice in Human-Centric Software Engineering Experiments. EASE 2019: 134-143 - 2018
- [j20]Lech Madeyski
Effect sizes and their variance for AB/BA crossover design studies. Empir. Softw. Eng. 23(4): 1982-2017 (2018) - [j19]Lech Madeyski, Barbara A. Kitchenham, Krzysztof Wnuk:
Introduction to the special section on Enhancing Credibility of Empirical Software Engineering. Inf. Softw. Technol. 99: 118-119 (2018) - [c17]Lech Madeyski, Barbara A. Kitchenham:
Effect sizes and their variance for AB/BA crossover design studies. ICSE 2018: 420 - [e2]Piotr Kosiuczenko, Lech Madeyski:
Towards a Synergistic Combination of Research and Practice in Software Engineering [papers from KKIO 2017, Rzeszów, Poland, 14-16 September 2017]. Studies in Computational Intelligence 733, Springer 2018, ISBN 978-3-319-65207-8 [contents] - 2017
- [j18]Barbara A. Kitchenham, Lech Madeyski
Robust Statistical Methods for Empirical Software Engineering. Empir. Softw. Eng. 22(2): 579-630 (2017) - [j17]Quang Vu Nguyen
Addressing mutation testing problems by applying multi-objective optimization algorithms and higher order mutation. J. Intell. Fuzzy Syst. 32(2): 1173-1182 (2017) - [j16]Lech Madeyski, Barbara A. Kitchenham:
Would wider adoption of reproducible research be beneficial for empirical software engineering research? J. Intell. Fuzzy Syst. 32(2): 1509-1521 (2017) - [c16]Lech Madeyski, Marcin Kawalerowicz
Continuous Test-Driven Development: A Preliminary Empirical Evaluation Using Agile Experimentation in Industrial Settings. KKIO Software Engineering Conference 2017: 105-118 - [c15]Lech Madeyski, Marcin Kawalerowicz
Continuous defect prediction: the idea and a related dataset. MSR 2017: 515-518 - [e1]Lech Madeyski, Michal Smialek
Software Engineering: Challenges and Solutions - Results of the XVIII KKIO 2016 Software Engineering Conference 2016 held at September 15-17 2016 in Wroclaw, Poland. Advances in Intelligent Systems and Computing 504, Springer 2017, ISBN 978-3-319-43605-0 [contents] - [i3]Lech Madeyski, Marcin Kawalerowicz:
Continuous Defect Prediction: The Idea and a Related Dataset. CoRR abs/1703.04142 (2017) - [i2]Agnieszka Patalas, Wojciech Cichowski, Michal Malinka, Wojciech Stepniak, Piotr Mackowiak, Lech Madeyski:
Software Metrics in Boa Large-Scale Software Mining Infrastructure: Challenges and Solutions. CoRR abs/1703.06293 (2017) - [i1]Jaroslaw Hryszko, Lech Madeyski, Marta Dabrowska, Piotr Konopka:
Defect prediction with bad smells in code. CoRR abs/1703.06300 (2017) - 2016
- [j15]Quang Vu Nguyen
Empirical Evaluation of Multiobjective Optimization Algorithms Searching for Higher Order Mutants. Cybern. Syst. 47(1-2): 48-68 (2016) - [j14]Zbigniew Huzar, Lech Madeyski:
Editorial. e Informatica Softw. Eng. J. 10(1): 1-2 (2016) - [c14]Quang Vu Nguyen
Higher Order Mutation Testing to Drive Development of New Test Cases: An Empirical Comparison of Three Strategies. ACIIDS (1) 2016: 235-244 - [c13]Quang Vu Nguyen
On the Relationship Between the Order of Mutation Testing and the Properties of Generated Higher Order Mutants. ACIIDS (1) 2016: 245-254 - [c12]Jaroslaw Hryszko, Lech Madeyski:
Assessment of the Software Defect Prediction Cost Effectiveness in an Industrial Project. KKIO Software Engineering Conference 2016: 77-90 - [c11]Lech Madeyski, Marcin Kawalerowicz
Software Engineering Needs Agile Experimentation: A New Practice and Supporting Tool. KKIO Software Engineering Conference 2016: 149-162 - 2015
- [j13]Zbigniew Huzar, Lech Madeyski:
Editorial. e Informatica Softw. Eng. J. 9(1): 7-8 (2015) - [j12]Marian Jureczko, Lech Madeyski
Cross-Project Defect Prediction With Respect To Code Ownership Model: An Empirical Study. e Informatica Softw. Eng. J. 9(1): 21-35 (2015) - [j11]Lech Madeyski
Which process metrics can significantly improve defect prediction models? An empirical study. Softw. Qual. J. 23(3): 393-422 (2015) - [c10]Quang Vu Nguyen
Searching for Strongly Subsuming Higher Order Mutants by Applying Multi-objective Optimization Algorithm. ICCSAMA 2015: 391-402 - 2014
- [j10]Zbigniew Huzar, Lech Madeyski:
Editorial. e Informatica Softw. Eng. J. 8(1) (2014) - [j9]Lech Madeyski
Overcoming the Equivalent Mutant Problem: A Systematic Literature Review and a Comparative Experiment of Second Order Mutation. IEEE Trans. Software Eng. 40(1): 23-42 (2014) - [c9]Quang Vu Nguyen
Problems of Mutation Testing and Higher Order Mutation Testing. ICCSAMA 2014: 157-172 - 2013
- [c8]Lech Madeyski, Marcin Kawalerowicz
Continuous Test-Driven Development - A Novel Agile Software Development Practice and Supporting Tool. ENASE 2013: 260-267 - 2010
- [b1]Lech Madeyski
Test-Driven Development - An Empirical Evaluation of Agile Practice. Springer 2010, ISBN 978-3-642-04287-4, pp. 1-245 - [j8]Zbigniew Huzar, Lech Madeyski:
Editorial. e Informatica Softw. Eng. J. 4(1): 7-8 (2010) - [j7]Lech Madeyski
Judy - a mutation testing tool for Java. IET Softw. 4(1): 32-42 (2010) - [j6]Lech Madeyski
The impact of Test-First programming on branch coverage and mutation score indicator of unit tests: An experiment. Inf. Softw. Technol. 52(2): 169-184 (2010) - [c7]Marian Jureczko, Lech Madeyski
Towards identifying software project clusters with regard to defect prediction. PROMISE 2010: 9
2000 – 2009
- 2009
- [j5]Zbigniew Huzar, Lech Madeyski:
Editorial. e Informatica Softw. Eng. J. 3(1): 7 (2009) - 2008
- [j4]Zbigniew Huzar, Lech Madeyski:
Editorial. e Informatica Softw. Eng. J. 2(1): 7 (2008) - [j3]Lech Madeyski
Impact of pair programming on thoroughness and fault detection effectiveness of unit test suites. Softw. Process. Improv. Pract. 13(3): 281-295 (2008) - 2007
- [j2]Zbigniew Huzar, Lech Madeyski:
Empirical Evaluation of Novel Approaches to Software Engineering. e Informatica Softw. Eng. J. 1(1): 7-8 (2007) - [j1]Lech Madeyski
Impact of aspect-oriented programming on software development efficiency and design quality: an empirical study. IET Softw. 1(5): 180-187 (2007) - [c6]Lech Madeyski, Lukasz Szala:
The Impact of Test-Driven Development on Software Development Productivity - An Empirical Study. EuroSPI 2007: 200-211 - [c5]Lech Madeyski
Capable Leader and Skilled and Motivated Team Practices to Introduce eXtreme Programming. CEE-SET 2007: 96-102 - [c4]Lech Madeyski:
On the Effects of Pair Programming on Thoroughness and Fault-Finding Effectiveness of Unit Tests. PROFES 2007: 207-221 - [c3]Lech Madeyski, Wojciech Biela:
Empirical Evidence Principle and Joint Engagement Practice to Introduce XP. XP 2007: 141-144 - 2006
- [c2]Lech Madeyski:
The Impact of Pair Programming and Test-Driven Development on Package Dependencies in Object-Oriented Design - An Experiment. PROFES 2006: 278-289 - [c1]Lech Madeyski:
Is External Code Quality Correlated with Programming Experience or Feelgood Factor? XP 2006: 65-74 - 2005
- [p1]Lech Madeyski:
Preliminary Analysis of the Effects of Pair Programming and Test-Driven Development on the External Code Quality. Software Engineering: Evolution and Emerging Technologies 2005: 113-123
Coauthor Index
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last updated on 2024-12-10 21:43 CET by the dblp team
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