Wilhelm Meding

Showing 22 publications

2024

Using Generative AI to Support Standardization Work - the Case of 3GPP

Miroslaw Staron, Jonathan Strom, Albin Karlsson et al
Proceedings of the Euromicro Conference on Software Engineering and Advanced Applications, EUROMICRO-SEAA (2024), p. 201-209
Journal article
2022

Automated Code Review Comment Classification to Improve Modern Code Reviews

M. Ochodek, Miroslaw Staron, Wilhelm Meding et al
Lecture Notes in Business Information Processing. Vol. 439 LNBIP, p. 23-40
Paper in proceeding
2021

Understanding Metrics Team-Stakeholder Communication in Agile Metrics Service Delivery

Nataliya Berbyuk Lindstrom, Dina Koutsikouri, Miroslaw Staron et al
Proceedings - Asia-Pacific Software Engineering Conference, APSEC. Vol. 2021-December, p. 401-409
Paper in proceeding
2021

Improving Quality of Code Review Datasets – Token-Based Feature Extraction Method

Miroslaw Staron, Wilhelm Meding, Ola Söder et al
Lecture Notes in Business Information Processing. Vol. 404, p. 81-93
Paper in proceeding
2021

A Method for Modeling Data Anomalies in Practice

Jennifer Horkoff, Miroslaw Staron, Wilhelm Meding
Proceedings - 2021 47th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2021, p. 119-128
Paper in proceeding
2020

Selective Regression Testing based on Big Data: Comparing Feature Extraction Techniques

Khaled Al Sabbagh, Miroslaw Staron, Miroslaw Ochodek et al
IEEE Software, p. 322-329
Paper in proceeding
2020

Improving Data Quality for Regression Test Selection by Reducing Annotation Noise

Khaled Al Sabbagh, Miroslaw Staron, Regina Hebig et al
Proceedings - 46th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2020, p. 191-194
Paper in proceeding
2020

LegacyPro: A DNA-inspired method for identifying process legacies in software development organizations

M. Ochodek, Miroslaw Staron, Wilhelm Meding et al
IEEE Software. Vol. 37 (6), p. 76-85
Journal article
2019

Simsax: A measure of project similarity based on symbolic approximation method and software defect inflow

M. Ochodek, Miroslaw Staron, Wilhelm Meding
Information and Software Technology. Vol. 115, p. 131-147
Journal article
2017

Using Machine Learning to Design a Flexible LOC Counter

M. Ochodek, Miroslaw Staron, D. Bargowski et al
2017 Ieee International Workshop on Machine Learning Techniques for Software Quality Evaluation (Maltesque), p. 14-20
Paper in proceeding
2016

A portfolio of internal quality metrics for software architects

Miroslaw Staron, Wilhelm Meding
Software Quality Days 2017
Paper in proceeding
2016

A Key Performance Indicator Quality Model and Its Industrial Evaluation

Miroslaw Staron, Wilhelm Meding, Kent () Niesel et al
IWSM Mensura 2016
Paper in proceeding
2015

Supporting Continuous Integration by Code-Churn Based Test Selection

Eric Knauss, Miroslaw Staron, Wilhelm Meding et al
RCoSE - 2nd International Workshop on Rapid Continuous Software Engineering @ ICSE 2015 Florence, Italy
Other conference contribution
2015

Identifying Complex Functions By Investigating Various Aspects of Code Complexity

Vard Antinyan, Miroslaw Staron, Jesper Derehag et al
Proceedings of 2015 Science and Information Conference (SAI), p. 879-888
Paper in proceeding
2015

Measurement-as-a-Service - A New Way of Organizing Measurement Programs in Large Software Development Companies

Miroslaw Staron, Wilhelm Meding
International Conference on Software Measurement (Mensura)
Paper in proceeding
2014

Monitoring Evolution of Code Complexity and Magnitude of Changes

Vard Antinyan, Miroslaw Staron, Anders Henriksson et al
Acta Cybernetica. Vol. 21 (3), p. 367-382
Journal article
2014

MetricsCloud: Scaling-Up Metrics Dissemination in Large Organizations

Miroslaw Staron, Wilhelm Meding
Advances in Software Engineering. Vol. 2014, p. 12-
Journal article
2014

The Adoption of Machine Learning Techniques for Software Defect Prediction: An Initial Industrial Validation

Rakesh Rana, Miroslaw Staron, Christian Berger et al
Communications in Computer and Information Science. Vol. 466, p. 270-285
Paper in proceeding
2014

Identifying risky areas of software code in Agile/Lean software development: An industrial experience report

Vard Antinyan, Miroslaw Staron, Wilhelm Meding et al
2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering, CSMR-WCRE 2014 - Proceedings, p. 154-163
Paper in proceeding
2014

A Framework for Adoption of Machine Learning in Industry for Software Defect Prediction

Rakesh Rana, Miroslaw Staron, Jörgen Hansson et al
ICSOFT-EA Conference, p. 383-392
Other conference contribution
2014

Industrial Self-Healing Measurement Systems

Miroslaw Staron, Wilhelm Meding
Continuous Software Engineering, p. 183-200
Book chapter
2013

Monitoring Evolution of Code Complexity in Agile/Lean Software Development - A Case Study at Two Companies

Vard Antinyan, Miroslaw Staron, Wilhelm Meding et al
13th Symposium on Programming Languages and Software Tools, SPLST 2013 - Proceedings, p. 1-15
Paper in proceeding

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