Miroslaw Staron

Full Professor at Software Engineering 1

Please visit my personal page at the

My current research areas include:
Software metrics: Measurement systems in industry and prediction models.
Model driven software development: Industrialization of MDSD; empirical studies in modeling; large-scale model development
Empirical methods in software engineering: with focus on experiments and industrial case studies.
Predicting defect inflow in projects: Predicting number of defects in large and medium sized software project.
Requirements engineering in model based software development projects: supervising doctoral student in this area.
I spend 50% of my work time on field research at Ericsson on the project related to software metrics.
I am also involved in ASIS research project with Volvo Car Corporation.
I cooperate with Volvo Information Technology on research projects related to modeling and MDSD.

Source: chalmers.se
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Showing 45 publications

2025

ACoRA – A Platform for Automating Code Review Tasks

M. Ochodek, Miroslaw Staron
E-Informatica Software Engineering Journal. Vol. 19 (1)
Journal article
2024

Testing, Debugging, and Log Analysis With Modern AI Tools

Miroslaw Staron, Silvia Abrahao, Gregory Gay et al
IEEE Software. Vol. 41 (2), p. 99-102
Journal article
2024

Human Aspects and Security in Software Development

Miroslaw Staron, Silvia Abrahao, Birgit Penzenstadler et al
IEEE Software. Vol. 41 (4), p. 171-174
Journal article
2024

Comparing Machine Learning Algorithms for Medical Time-Series Data

Alex Helmersson, Faton Hoti, Sebastian Levander et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 14483 LNCS, p. 200-207
Paper in proceeding
2024

Bringing Software Engineering Discipline to the Development of AI-Enabled Systems

Miroslaw Staron, Silvia Abrahao, Grace A. Lewis et al
IEEE Software. Vol. 41 (5), p. 79-82
Journal article
2024

Design Patterns Understanding and Use in the Automotive Industry: An Interview Study

Sushant Kumar Pandey, Sivajeet Chand, Jennifer Horkoff et al
Lecture Notes in Computer Science. Vol. 14483 LNCS, p. 301-319
Paper in proceeding
2024

Impact of Image Data Splitting on the Performance of Automotive Perception Systems

Md Abu Ahammed Babu, Sushant Kumar Pandey, Darko Durisic et al
Lecture Notes in Business Information Processing. Vol. 505 LNBIP, p. 91-111
Paper in proceeding
2024

Exploring Image Similarity-Based Splitting Techniques in Automotive Perception Systems

Md Abu Ahammed Babu, Sushant Kumar Pandey, Darko Durisic et al
Communications in Computer and Information Science. Vol. 2178 CCIS, p. 51-67
Paper in proceeding
2024

Research Highlights in Evidence-Based Software Engineering

Silvia Abrahao, Miroslaw Staron, Maria Teresa Baldassarre et al
IEEE Software. Vol. 41 (1), p. 133-136
Journal article
2024

Comparing Programming Language Models for Design Pattern Recognition

Sushant Kumar Pandey, Miroslaw Staron, Jennifer Horkoff et al
Proceedings - IEEE 21st International Conference on Software Architecture Companion, ICSA-C 2024, p. 183-190
Paper in proceeding
2023

Comparing Word-Based and AST-Based Models for Design Pattern Recognition

Sivajeet Chand, Sushant Kumar Pandey, Jennifer Horkoff et al
ACM International Conference Proceeding Series, p. 44-48
Paper in proceeding
2023

Focusing on Developers in the Era of AI and ML

Silvia Abrahao, Miroslaw Staron, Alexander Serebrenik et al
IEEE Software. Vol. 40 (6), p. 126-129
Other text in scientific journal
2023

Recent Research Into Infrastructure as Code

Miroslaw Staron, Silvia Abrahao, Birgit Penzenstadler et al
IEEE Software. Vol. 40 (1), p. 86-88
Journal article
2023

Comparing Anomaly Detection and Classification Algorithms: A Case Study in Two Domains

Miroslaw Staron, Helena Odenstedt Herges, Linda Block et al
Lecture Notes in Business Information Processing. Vol. 472 LNBIP, p. 121-136
Paper in proceeding
2023

AI, Tech, Energy, and Collaboration

Birgit Penzenstadler, Miroslaw Staron, Silvia Abrahao et al
IEEE Software. Vol. 40 (3), p. 80-83
Journal article
2023

Assessing Security of Internal Vehicle Networks

Anas Alkoutli, Joakim Anderlind, Carl-Johan Björnson et al
Lecture Notes in Computer Science. Vol. 13928, p. 151-164
Paper in proceeding
2023

From the War in Ukraine to Cannabis Use: Exploring a Diverse Set of Papers

Birgit Penzenstadler, Alexander Serebrenik, Miroslaw Staron et al
IEEE Software. Vol. 40 (2), p. 99-102
Journal article
2023

Editorial

Miroslaw Staron
Information and Software Technology. Vol. 163
Other text in scientific journal
2023

Open Source Software: Communities and Quality

Silvia Abrahao, Miroslaw Staron, Alexander Serebrenik et al
IEEE Software. Vol. 40 (4), p. 96-99
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
2022

Predicting build outcomes in continuous integration using textual analysis of source code commits

Khaled Al Sabbagh, Miroslaw Staron, Regina Hebig
PROMISE 2022 - Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering, co-located with ESEC/FSE 2022, p. 42-51
Paper in proceeding
2022

Bots in Software Engineering

Birgit Penzenstadler, Silvia Abrahao, Miroslaw Staron et al
IEEE Software. Vol. 39 (5), p. 101-104
Review article
2022

Technical Debt Problems and Concerns

Jeffrey C. Carver, Xabier Larrucea, Alexander Serebrenik et al
IEEE Software. Vol. 39 (3), p. 116-119
Journal article
2022

Improving Software Regression Testing Using a Machine Learning-Based Method for Test Type Selection

Khaled Al Sabbagh, Miroslaw Staron, Regina Hebig
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13709 LNCS, p. 480-496
Paper in proceeding
2022

Software Design Trends Supporting Multiconcern Assurance

Birgit Penzenstadler, Silvia Abrahao, Miroslaw Staron et al
IEEE Software. Vol. 39 (4), p. 84-86
Journal article
2022

Comparing autoencoder-based approaches for anomaly detection in highway driving scenario images

Vasilii Mosin, Miroslaw Staron, Yury Tarakanov et al
SN Applied Sciences. Vol. 4
Journal article
2021

(Research) Insights for Serverless Application Engineering

Jeffrey C. Carver, Birgit Penzenstadler, Joel Scheuner et al
IEEE Software. Vol. 38 (1), p. 123-125
Journal article
2021

A classification of code changes and test types dependencies for improving machine learning based test selection

Khaled Al Sabbagh, Miroslaw Staron, Regina Hebig et al
SIGPLAN Notices (ACM Special Interest Group on Programming Languages), p. 40-49
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

Software engineering and advanced applications conference 2019 – selected papers

R. Capilla, Miroslaw Staron
Information and Software Technology. Vol. 130
Other text in scientific journal
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

The Effect of Class Noise on Continuous Test Case Selection: A Controlled Experiment on Industrial Data

Khaled Al Sabbagh, Miroslaw Staron, Regina Hebig
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12562, p. 287-303
Paper in proceeding
2020

Deep learning model for end-to-end approximation of COSMIC functional size based on use-case names

M. Ochodek, Sylwia Kopczyńska, Miroslaw Staron
Information and Software Technology. Vol. 123
Journal article
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
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
2019

Message from the program chairs

Miroslaw Staron, R. Capilla
Other conference contribution
2019

Evolution of technical debt: An exploratory study

Md Abdullah Al Mamun, Antonio Martini, Miroslaw Staron et al
CEUR Workshop Proceedings. Vol. 2476, p. 87-102
Paper in proceeding
2019

Predicting Test Case Verdicts Using TextualAnalysis of Commited Code Churns

Khaled Al Sabbagh, Miroslaw Staron, Regina Hebig et al
CEUR Workshop Proceedings. Vol. 2476, p. 138-153
Paper in proceeding
2019

Improving Code Smell Predictions in Continuous Integration by Differentiating Organic from Cumulative Measures

Md Abdullah Al Mamun, Miroslaw Staron, Christian Berger et al
The Fifth International Conference on Advances and Trends in Software Engineering, p. 62-71
Paper in proceeding
2018

Milestone-oriented usage of key performance indicators - An industrial case study

Miroslaw Staron, Kent Niesel, Niclas Bauman
E-Informatica Software Engineering Journal. Vol. 12 (1), p. 217-236
Journal article
2018

Vetting automatically generated trace links: What information is useful to human analysts?

Salome Honest Maro, Jan-Philipp Steghöfer, Jane Hayes et al
Proceedings - 2018 IEEE 26th International Requirements Engineering Conference, RE 2018, p. 52-63
Paper in proceeding
2017

Comparison of model size predictors in practice

Jan Schröder, Christian Berger, Alessia Knauss et al
Proceedings - 2017 IEEE/ACM 39th International Conference on Software Engineering Companion, ICSE-C 2017, p. 186-188
Paper in proceeding
2017

Predicting and evaluating software model growth in the automotive industry

Jan Schröder, Christian Berger, Alessia Knauss et al
Proceedings - 2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017, p. 584-593
Paper in proceeding
2014

Performance in software development - Special issue editorial

Miroslaw Staron, Jörgen Hansson, Jan Bosch
Information and Software Technology. Vol. 56 (5), p. 463-464
Other text in scientific journal
2013

Improving fault injection in automotive model based development using fault bypass modeling

Rakesh Rana, Miroslaw Staron, Christian Berger et al
Lecture Notes in Informatics. Vol. 220, p. 2577-2591
Paper in proceeding

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Showing 4 research projects

2021–2023

Transforming Automotive Architecture with Assistance from AI

Jennifer Horkoff Testing, Requirements, Innovation and Psychology
Miroslaw Staron Software Engineering for Cyber Physical Systems
Chalmers AI Research Centre (CHAIR)

2020–2020

eHRV

Miroslaw Staron Software Engineering for Cyber Physical Systems
Chalmers AI Research Centre (CHAIR)

2020–2024

Architectural Design and Verification/Validation of Systems with Machine Learning Components

Miroslaw Staron Software Engineering for Cyber Physical Systems
Darko Durisic Software Engineering for Testing, Requirements, Innovation and Psychology
VINNOVA

2012–2015

Verification of ISO 26262 Software requirements in safety critical EE-systems (VISEE)

Jörgen Hansson Software Engineering (Chalmers)
Miroslaw Staron Software Engineering (Chalmers)
Rakesh Rana Software Engineering (Chalmers)
Christian Berger Software Engineering (Chalmers)
VINNOVA

There might be more projects where Miroslaw Staron participates, but you have to be logged in as a Chalmers employee to see them.