Lech Madeyski

Orcid: 0000-0003-3907-3357

Affiliations:
  • Wroclaw University of Technology, Institute of Informatics


According to our database1, Lech Madeyski authored at least 63 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Recommendations for analysing and meta-analysing small sample size software engineering experiments.
Empir. Softw. Eng., November, 2024

The impact of hard and easy negative training data on vulnerability prediction performance.
J. Syst. Softw., 2024

Costs and Benefits of Machine Learning Software Defect Prediction: Industrial Case Study.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

An Empirical Analysis of the Usage of Requirements Attributes in Requirements Engineering Research and Practice.
Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

2023
Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review.
Inf. Softw. Technol., July, 2023

Continuous build outcome prediction: an experimental evaluation and acceptance modelling.
Appl. Intell., April, 2023

SEGRESS: Software Engineering Guidelines for REporting Secondary Studies.
IEEE Trans. Software Eng., March, 2023

How Should Software Engineering Secondary Studies Include Grey Material?
IEEE Trans. Software Eng., February, 2023

Machine learning in software defect prediction: A business-driven systematic mapping study.
Inf. Softw. Technol., 2023

Exploring the challenges in software testing of the 5G system at Nokia: A survey.
Inf. Softw. Technol., 2023

Detecting code smells using industry-relevant data.
Inf. Softw. Technol., 2023

Bridging the Gap Between Academia and Industry in Machine Learning Software Defect Prediction: Thirteen Considerations.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Can we Knapsack Software Defect Prediction? Nokia 5G Case.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2022
The Importance of the Correlation in Crossover Experiments.
IEEE Trans. Software Eng., 2022

How far are we from reproducible research on code smell detection? A systematic literature review.
Inf. Softw. Technol., 2022

2021
Cloud Solutions for Private Permissionless Blockchain Deployment.
Comput. Informatics, 2021

Jaskier: A Supporting Software Tool for Continuous Build Outcome Prediction Practice.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

Continuous Build Outcome Prediction: A Small-N Experiment in Settings of a Real Software Project.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

Security and Scalability in Private Permissionless Blockchain: Problems and Solutions Leading to Creating Consent-as-a-Service (CaaS) Deployment.
Proceedings of the Advances in Computational Collective Intelligence, 2021

ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews.
Proceedings of the Computational Science - ICCS 2021, 2021

2020
Creating Evolving Project Data Sets in Software Engineering.
Proceedings of the Integrating Research and Practice in Software Engineering, 2020

Software Defect Prediction Using Bad Code Smells: A Systematic Literature Review.
Data-Centric Business and Applications, 2020

Code Smell Prediction Employing Machine Learning Meets Emerging Java Language Constructs.
Data-Centric Business and Applications, 2020

Meta-analysis for families of experiments in software engineering: a systematic review and reproducibility and validity assessment.
Empir. Softw. Eng., 2020

Technical Debt Aware Estimations in Software Engineering: A Systematic Mapping Study.
e Informatica Softw. Eng. J., 2020

MLCQ: Industry-Relevant Code Smell Data Set.
Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 2020

2019
Empirical evaluation of continuous test-driven development in industrial settings.
J. Intell. Fuzzy Syst., 2019

Problems with Statistical Practice in Human-Centric Software Engineering Experiments.
Proceedings of the Evaluation and Assessment on Software Engineering, 2019

2018
Introduction to the special section on Enhancing Credibility of Empirical Software Engineering.
Inf. Softw. Technol., 2018

Effect sizes and their variance for AB/BA crossover design studies.
Empir. Softw. Eng., 2018

2017
Addressing mutation testing problems by applying multi-objective optimization algorithms and higher order mutation.
J. Intell. Fuzzy Syst., 2017

Would wider adoption of reproducible research be beneficial for empirical software engineering research?
J. Intell. Fuzzy Syst., 2017

Robust Statistical Methods for Empirical Software Engineering.
Empir. Softw. Eng., 2017

Software Metrics in Boa Large-Scale Software Mining Infrastructure: Challenges and Solutions.
CoRR, 2017

Defect prediction with bad smells in code.
CoRR, 2017

Continuous defect prediction: the idea and a related dataset.
Proceedings of the 14th International Conference on Mining Software Repositories, 2017

Continuous Test-Driven Development: A Preliminary Empirical Evaluation Using Agile Experimentation in Industrial Settings.
Proceedings of the Towards a Synergistic Combination of Research and Practice in Software Engineering [papers from KKIO 2017, 2017

2016
Empirical Evaluation of Multiobjective Optimization Algorithms Searching for Higher Order Mutants.
Cybern. Syst., 2016

Software Engineering Needs Agile Experimentation: A New Practice and Supporting Tool.
Proceedings of the Software Engineering: Challenges and Solutions, 2016

Assessment of the Software Defect Prediction Cost Effectiveness in an Industrial Project.
Proceedings of the Software Engineering: Challenges and Solutions, 2016

On the Relationship Between the Order of Mutation Testing and the Properties of Generated Higher Order Mutants.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

Higher Order Mutation Testing to Drive Development of New Test Cases: An Empirical Comparison of Three Strategies.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015
Which process metrics can significantly improve defect prediction models? An empirical study.
Softw. Qual. J., 2015

Cross-Project Defect Prediction With Respect To Code Ownership Model: An Empirical Study.
e Informatica Softw. Eng. J., 2015

Searching for Strongly Subsuming Higher Order Mutants by Applying Multi-objective Optimization Algorithm.
Proceedings of the Advanced Computational Methods for Knowledge Engineering - Proceedings of 3rd International Conference on Computer Science, Applied Mathematics and Applications, 2015

2014
Overcoming the Equivalent Mutant Problem: A Systematic Literature Review and a Comparative Experiment of Second Order Mutation.
IEEE Trans. Software Eng., 2014

Problems of Mutation Testing and Higher Order Mutation Testing.
Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2014

2013
Continuous Test-Driven Development - A Novel Agile Software Development Practice and Supporting Tool.
Proceedings of the ENASE 2013, 2013

2010
The impact of Test-First programming on branch coverage and mutation score indicator of unit tests: An experiment.
Inf. Softw. Technol., 2010

Judy - a mutation testing tool for Java.
IET Softw., 2010

Editorial.
e Informatica Softw. Eng. J., 2010

Towards identifying software project clusters with regard to defect prediction.
Proceedings of the 6th International Conference on Predictive Models in Software Engineering, 2010

Test-Driven Development - An Empirical Evaluation of Agile Practice.
Springer, ISBN: 978-3-642-04287-4, 2010

2008
Impact of pair programming on thoroughness and fault detection effectiveness of unit test suites.
Softw. Process. Improv. Pract., 2008

2007
Impact of aspect-oriented programming on software development efficiency and design quality: an empirical study.
IET Softw., 2007

Empirical Evaluation of Novel Approaches to Software Engineering.
e Informatica Softw. Eng. J., 2007

Empirical Evidence Principle and Joint Engagement Practice to Introduce XP.
Proceedings of the Agile Processes in Software Engineering and Extreme Programming, 2007

On the Effects of Pair Programming on Thoroughness and Fault-Finding Effectiveness of Unit Tests.
Proceedings of the Product-Focused Software Process Improvement, 2007

Capable Leader and Skilled and Motivated Team Practices to Introduce eXtreme Programming.
Proceedings of the Balancing Agility and Formalism in Software Engineering, 2007

The Impact of Test-Driven Development on Software Development Productivity - An Empirical Study.
Proceedings of the Software Process Improvement, 14th European Conference, 2007

2006
Is External Code Quality Correlated with Programming Experience or Feelgood Factor?
Proceedings of the Extreme Programming and Agile Processes in Software Engineering, 2006

The Impact of Pair Programming and Test-Driven Development on Package Dependencies in Object-Oriented Design - An Experiment.
Proceedings of the Product-Focused Software Process Improvement, 2006

2005
Preliminary Analysis of the Effects of Pair Programming and Test-Driven Development on the External Code Quality.
Proceedings of the Software Engineering: Evolution and Emerging Technologies, 2005


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