1.

Automated Code Review Comment Classification to Improve Modern Code Reviews / Mirosław Ochodek (WIiT), Miroslaw Staron, Wilhelm Meding, Ola Söder // W: Software Quality: The Next Big Thing in Software Engineering and Quality : 14th International Conference on Software Quality, SWQD 2022, Vienna, Austria, May 17–19, 2022 : Proceedings / red. Daniel Mendez: Springer Nature, 2022 - p. 23-40

Chapter in monograph / paper 20.0

2.

Improving Quality of Code Review Datasets – Token-Based Feature Extraction Method / Miroslaw Staron, Wilhelm Meding, Ola Söder, Mirosław Ochodek (WIiT) // W: Software Quality: Future Perspectives on Software Engineering Quality : 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021, Proceedings / red. Dietmar Winkler: Springer International Publishing, 2021 - p. 81-93

Chapter in monograph / paper 20.0

3.

Machine Learning to Support Code Reviews in Continuous Integration / Miroslaw Staron, Mirosław Ochodek (WIiT), Wilhelm Meding, Ola Söder, Emil Rosenberg // W: Artificial Intelligence Methods for Software Engineering / red. Meir Kalech, Rui Abreu, Mark Last: World Scientific, 2021 - p. 141-167

Chapter in monograph 20.0

4.

LegacyPro: A DNA-inspired method for identifying process legacies in software development organizations / Mirosław Ochodek (WIiT), Miroslaw Staron, Wilhelm Meding, Jan Bosch // IEEE Software - 2020, vol. 37, no. 6, p. 76-85

Scientific article 100.0 2.967

5.

On Identifying Similarities in Git Commit Trends - A Comparison Between Clustering and SimSAX / Mirosław Ochodek (WIiT), Miroslaw Staron, Wilhelm Meding // W: Software Quality: Quality Intelligence in Software and Systems Engineering : 12th International Conference, SWQD 2020, Vienna, Austria, January 14–17, 2020 : Proceedings / red. Dietmar Winkler: Springer International Publishing, 2020 - p. 109-120

Chapter in monograph / paper 20.0

6.

Recognizing lines of code violating company-specific coding guidelines using machine learning / Mirosław Ochodek (WIiT), Regina Hebig, Wilhelm Meding, Gert Frost, Miroslaw Staron // Empirical Software Engineering - 2020, vol. 25, iss. 1, p. 220-265

Scientific article 140.0 2.522

7.

Selective Regression Testing based on Big Data: Comparing Feature Extraction Techniques / Khaled Walid Al-Sabbagh, Miroslaw Staron, Mirosław Ochodek (WIiT), Regina Hebig, Wilhelm Meding // W: IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) 2020: IEEE, 2020 - p. 322-329

Chapter in monograph / paper 20.0 140.0

8.

Using Machine Learning to Identify Code Fragments for Manual Review / Miroslaw Staron, Mirosław Ochodek (WIiT), Wilhelm Meding, Ola Söder // W: 46th Euromicro Conference on Software Engineering and Advanced Applications SEAA 2020 : Proceedings: IEEE, 2020 - p. 513-516

Chapter in monograph / paper 20.0 70.0

9.

Improving Defect Localization by Classifying the Affected Asset Using Machine Learning / Sam Halali, Miroslaw Staron, Mirosław Ochodek (WI), Wilhelm Meding // W: Software Quality: The Complexity and Challenges of Software Engineering and Software Quality in the Cloud : 11th International Conference, SWQD 2019, Vienna, Austria, January 15–18, 2019, Proceedings / red. Dietmar Winkler, Stefan Biffl, Johannes Bergsmann - Cham, Switzerland : Springer, 2019 - p. 106-122

Chapter in monograph / paper 20.0

10.

Simsax: A measure of project similarity based on symbolic approximation method and software defect inflow / Mirosław Ochodek (WI), Miroslaw Staron, Wilhelm Meding // Information and Software Technology - 2019, vol. 115, p. 131-147

Scientific article 140.0 2.726

11.

Measurement and Impact Factors of Speed of Reviews and Integration in Continuous Software Engineering / Miroslaw Staron, Wilhelm Meding, Ola Söder, Magnus Bäck // Foundations of Computing and Decision Sciences - 2018, vol. 43, no. 4, p. 281-303

Scientific article 15.0

12.

Using machine learning to design a flexible LOC counter / Mirosław Ochodek (WI), Miroslaw Staron, Dominik Bargowski (WI), Wilhelm Meding, Regina Hebig // W: 2017 IEEE International Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE) / red. F.A. Fontana, B. Walter, M. Zanoni: IEEE, 2017 - p. 14-20

Chapter in monograph / paper 15