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ORCIDMiroslaw Staron
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- affiliation: University of Gothenburg, Sweden
- affiliation (PhD 2005): Blekinge Institute of Technology, Sweden
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2020 – today
- 2025
[j65]Miroslaw Ochodek, Miroslaw Staron:
ACoRA - A Platform for Automating Code Review Tasks. e Informatica Softw. Eng. J. 19(1): 250102 (2025)- [j64]Miroslaw Staron, Silvia Abrahão, Alexander Serebrenik, Birgit Penzenstadler, Jennifer Horkoff, Chetan Honnenahalli:
Laws, Ethics, and Fairness in Software Engineering. IEEE Softw. 42(1): 110-113 (2025) - 2024
- [j63]Silvia Abrahão
, Miroslaw Staron, Maria Teresa Baldassarre, Jennifer Horkoff, Birgit Penzenstadler, Paul Ralph, Alexander Serebrenik:
Research Highlights in Evidence-Based Software Engineering. IEEE Softw. 41(1): 133-136 (2024) - [j62]Miroslaw Staron, Silvia Abrahão, Gregory Gay, Alexander Serebrenik:
Testing, Debugging, and Log Analysis With Modern AI Tools. IEEE Softw. 41(2): 99-102 (2024) - [j61]Silvia Abrahão, Miroslaw Staron, Emilio Insfrán, Henry Muccini:
Modeling and Architecting of Complex Software Systems. IEEE Softw. 41(3): 76-79 (2024) - [j60]Miroslaw Staron, Silvia Abrahão, Birgit Penzenstadler, Alexander Serebrenik:
Human Aspects and Security in Software Development. IEEE Softw. 41(4): 171-174 (2024) - [j59]Miroslaw Staron, Silvia Abrahão, Grace A. Lewis, Henry Muccini, Chetan Honnenahalli:
Bringing Software Engineering Discipline to the Development of AI-Enabled Systems. IEEE Softw. 41(5): 79-82 (2024) - [j58]Silvia Abrahão, Miroslaw Staron, Gregory Gay, Birgit Penzenstadler, Chetan Honnenahalli:
Emerging Trends in Requirements Engineering and Testing. IEEE Softw. 41(6): 126-129 (2024) - [c120]Sushant Kumar Pandey, Miroslaw Staron, Jennifer Horkoff, Miroslaw Ochodek, Darko Durisic:
Comparing Programming Language Models for Design Pattern Recognition. ICSA-C 2024: 183-190 - [c119]Jesper Knapp, Klas Moberg, Yuchuan Jin, Simin Sun, Miroslaw Staron:
A Multi-model Approach for Video Data Retrieval in Autonomous Vehicle Development. PROFES (Industry-, Workshop-, and Doctoral Symposium Papers) 2024: 35-49 - [c118]Albin Karlsson, Erik Lindmaa, Simin Sun, Miroslaw Staron:
AI-Based Automotive Test Case Generation: An Action Research Study on Integration of Generative AI into Test Automation Frameworks. PROFES (Industry-, Workshop-, and Doctoral Symposium Papers) 2024: 50-66 - [c117]Md. Abu Ahammed Babu, Sushant Kumar Pandey, Darko Durisic, Ashok Chaitanya Koppisetty, Miroslaw Staron:
Exploring Image Similarity-Based Splitting Techniques in Automotive Perception Systems. QUATIC 2024: 51-67 - [c116]Md. Abu Ahammed Babu, Sushant Kumar Pandey, Darko Durisic, Ashok Chaitanya Koppisetty, Miroslaw Staron:
Impact of Image Data Splitting on the Performance of Automotive Perception Systems. SWQD 2024: 91-111 - [e5]Aleksander Jarzebowicz, Ivan Lukovic, Adam Przybylek, Miroslaw Staron, Muhammad Ovais Ahmad, Miroslaw Ochodek:
Software, System, and Service Engineering - S3E 2023 Topical Area, 24th Conference on Practical Aspects of and Solutions for Software Engineering, KKIO 2023, and 8th Workshop on Advances in Programming Languages, WAPL 2023, Held as Part of FedCSIS 2023, Warsaw, Poland, 17-20 September 2023, Revised Selected Papers. Lecture Notes in Business Information Processing 499, Springer 2024, ISBN 978-3-031-51074-8 [contents] - [i10]Miroslaw Staron:
Teaching Action Research. CoRR abs/2408.02399 (2024) - [i9]Miroslaw Staron, Jonathan Strom, Albin Karlsson, Wilhelm Meding:
Using generative AI to support standardization work - the case of 3GPP. CoRR abs/2408.12611 (2024) - [i8]Jesper Knapp, Klas Moberg, Yuchuan Jin, Simin Sun, Miroslaw Staron:
A Multi-model Approach for Video Data Retrieval in Autonomous Vehicle Development. CoRR abs/2410.03580 (2024) - [i7]Md. Abu Ahammed Babu, Sushant Kumar Pandey, Darko Durisic, Ashok Chaitanya Koppisetty, Miroslaw Staron:
Improving Image Data Leakage Detection in Automotive Software. CoRR abs/2410.23312 (2024) - 2023
- [j57]Miroslaw Ochodek, Krzysztof Durczak, Jerzy R. Nawrocki, Miroslaw Staron:
Mining Task-Specific Lines of Code Counters. IEEE Access 11: 100218-100233 (2023) - [j56]Miroslaw Staron:
Editorial. Inf. Softw. Technol. 163: 107306 (2023) - [j55]Miroslaw Staron, Silvia Abrahão, Birgit Penzenstadler, Lorin Hochstein:
Recent Research Into Infrastructure as Code. IEEE Softw. 40(1): 86-88 (2023) - [j54]Birgit Penzenstadler, Alexander Serebrenik, Miroslaw Staron, Lorin Hochstein:
From the War in Ukraine to Cannabis Use: Exploring a Diverse Set of Papers. IEEE Softw. 40(2): 99-102 (2023) - [j53]Birgit Penzenstadler, Miroslaw Staron, Silvia Abrahão, Lorin Hochstein:
AI, Tech, Energy, and Collaboration. IEEE Softw. 40(3): 80-83 (2023) - [j52]Silvia Abrahão, Miroslaw Staron, Alexander Serebrenik, Birgit Penzenstadler, Rafael Capilla:
Open Source Software: Communities and Quality. IEEE Softw. 40(4): 96-99 (2023) - [j51]Miroslaw Staron, Silvia Abrahão, Chetan Honnenahalli, Jennifer Horkoff:
Privacy, Security, Soft Requirements, and Flaky Tests. IEEE Softw. 40(5): 117-120 (2023) - [j50]Silvia Abrahão, Miroslaw Staron, Alexander Serebrenik, Birgit Penzenstadler, Rafael Prikladnicki, Henry Muccini:
Focusing on Developers in the Era of AI and ML. IEEE Softw. 40(6): 126-129 (2023) - [c115]Sushant Kumar Pandey, Miroslaw Staron, Jennifer Horkoff, Miroslaw Ochodek, Nicholas Mucci, Darko Durisic:
TransDPR: Design Pattern Recognition Using Programming Language Models. ESEM 2023: 1-7 - [c114]Paulina Aniola, Sushant Kumar Pandey, Miroslaw Staron, Miroslaw Ochodek:
Defect Backlog Size Prediction for Open-Source Projects with the Autoregressive Moving Average and Exponential Smoothing Models. FedCSIS 2023: 83-92 - [c113]Alex Helmersson, Faton Hoti, Sebastian Levander, Aliasgar Shereef, Emil Svensson, Ali El-Merhi, Richard Vithal, Jaquette Liljencrantz, Linda Block, Helena Odenstedt Hergés, Miroslaw Staron:
Comparing Machine Learning Algorithms for Medical Time-Series Data. PROFES (1) 2023: 200-207 - [c112]Sushant Kumar Pandey, Sivajeet Chand, Jennifer Horkoff, Miroslaw Staron:
Design Patterns Understanding and Use in the Automotive Industry: An Interview Study. PROFES (1) 2023: 301-319 - [c111]Sivajeet Chand, Sushant Kumar Pandey, Jennifer Horkoff, Miroslaw Staron, Miroslaw Ochodek, Darko Durisic:
Comparing Word-Based and AST-Based Models for Design Pattern Recognition. PROMISE 2023: 44-48 - [c110]Miroslaw Staron, Helena Odenstedt Hergés, Linda Block, Martin Sjödin:
Comparing Anomaly Detection and Classification Algorithms: A Case Study in Two Domains. SWQD 2023: 121-136 - 2022
- [j49]Khaled Walid Al-Sabbagh, Miroslaw Staron, Regina Hebig:
Improving test case selection by handling class and attribute noise. J. Syst. Softw. 183: 111093 (2022) - [j48]Jeffrey C. Carver, Miroslaw Staron:
Collaboration Using Open Data. IEEE Softw. 39(1): 102-104 (2022) - [j47]Jeffrey C. Carver, Miroslaw Staron, Rafael Capilla, Henry Muccini, Lorin Hochstein:
Digital Twins. IEEE Softw. 39(2): 97-99 (2022) - [j46]Jeffrey C. Carver, Xabier Larrucea, Alexander Serebrenik, Miroslaw Staron:
Technical Debt Problems and Concerns. IEEE Softw. 39(3): 116-119 (2022) - [j45]Birgit Penzenstadler, Silvia Abrahão, Miroslaw Staron, Jeffrey C. Carver, Lorin Hochstein:
Software Design Trends Supporting Multiconcern Assurance. IEEE Softw. 39(4): 84-86 (2022) - [j44]Birgit Penzenstadler, Silvia Abrahão, Miroslaw Staron, Alexander Serebrenik, Jeffrey C. Carver, Lorin Hochstein:
Bots in Software Engineering. IEEE Softw. 39(5): 101-104 (2022) - [j43]Alexander Serebrenik, Miroslaw Staron, Jordi Cabot, Birgit Penzenstadler, Lorin Hochstein, Jeffrey C. Carver:
AI Engineering Research in Software Engineering Venues. IEEE Softw. 39(6): 105-108 (2022) - [c109]Anas Alkoutli, Joakim Anderlind, Carl-Johan Björnson, Mathias Drage, Morgan Thowsen, Antonia Welzel, Miroslaw Staron:
Assessing Security of Internal Vehicle Networks. ECSA (Tracks and Workshops) 2022: 151-164 - [c108]Vasilii Mosin, Miroslaw Staron, Darko Durisic, Francisco Gomes de Oliveira Neto, Sushant Kumar Pandey, Ashok Chaitanya Koppisetty:
Comparing Input Prioritization Techniques for Testing Deep Learning Algorithms. SEAA 2022: 76-83 - [c107]Khaled Walid Al-Sabbagh, Miroslaw Staron, Regina Hebig:
Improving Software Regression Testing Using a Machine Learning-Based Method for Test Type Selection. PROFES 2022: 480-496 - [c106]Khaled Walid Al-Sabbagh, Miroslaw Staron, Regina Hebig:
Predicting build outcomes in continuous integration using textual analysis of source code commits. PROMISE 2022: 42-51 - [c105]Miroslaw Ochodek, Miroslaw Staron, Wilhelm Meding, Ola Söder:
Automated Code Review Comment Classification to Improve Modern Code Reviews. SWQD 2022: 23-40 - [p8]Miroslaw Staron:
Introduction to the Metrics Theme. Accelerating Digital Transformation 2022: 155-161 - [p7]Miroslaw Staron, Wilhelm Meding:
Chapter 7 MESRAM - A Method for Assessing Robustness of Measurement Programs in Large Software Development Organizations and Its Industrial Evaluation. Accelerating Digital Transformation 2022: 163-209 - [p6]Miroslaw Ochodek, Regina Hebig, Wilhelm Meding, Gert Frost, Miroslaw Staron:
Chapter 8 Recognizing Lines of Code Violating Company-Specific Coding Guidelines Using Machine Learning. Accelerating Digital Transformation 2022: 211-251 - [p5]Miroslaw Ochodek, Miroslaw Staron, Wilhelm Meding:
Chapter 9 SimSAX: A Measure of Project Similarity Based on Symbolic Approximation Method and Software Defect Inflow. Accelerating Digital Transformation 2022: 253-283 - [e4]Jan Bosch, Jan Carlson, Helena Holmström Olsson, Kristian Sandahl, Miroslaw Staron:
Accelerating Digital Transformation - 10 Years of Software Center. Springer 2022, ISBN 978-3-031-10872-3 [contents] - [e3]Miroslaw Staron, Christian Berger, Jocelyn Simmonds, Rafael Prikladnicki:
EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13 - 15, 2022. ACM 2022, ISBN 978-1-4503-9613-4 [contents] - [i6]Ali El-Merhi, Helena Odenstedt Hergés, Linda Block, Mikael Elam, Richard Vithal, Jaquette Liljencrantz, Miroslaw Staron:
Trusting Machine Learning Results from Medical Procedures in the Operating Room. CoRR abs/2201.01060 (2022) - 2021
- [b5]Miroslaw Staron:
Automotive Software Architectures - An Introduction, Second Edition. Springer 2021, ISBN 978-3-030-65938-7, pp. 1-274 - [j42]Rafael Capilla, Miroslaw Staron:
Software engineering and advanced applications conference 2019 - selected papers. Inf. Softw. Technol. 130: 106439 (2021) - [j41]Wilhelm Meding, Miroslaw Staron, Ola Söder:
MeTeaM - A method for characterizing mature software metrics teams. J. Syst. Softw. 180: 111006 (2021) - [j40]Jeffrey C. Carver, Birgit Penzenstadler, Joel Scheuner, Miroslaw Staron:
(Research) Insights for Serverless Application Engineering. IEEE Softw. 38(1): 123-125 (2021) - [j39]Jeffrey C. Carver, Ricardo Colomo Palacios, Xabier Larrucea, Miroslaw Staron:
Automatic Program Repair. IEEE Softw. 38(4): 122-124 (2021) - [j38]Jeffrey C. Carver, Rafael Capilla, Alexander Serebrenik, Miroslaw Staron:
Automated Authoring, Onboarding Developers, and Extracting Decision Rationale. IEEE Softw. 38(5): 110-112 (2021) - [c104]Nataliya Berbyuk Lindström, Dina Koutsikouri, Miroslaw Staron, Wilhelm Meding, Ola Söder:
Understanding Metrics Team-Stakeholder Communication in Agile Metrics Service Delivery. APSEC 2021: 401-409 - [c103]Vasilii Mosin, Darko Durisic, Miroslaw Staron:
Applicability of Machine Learning Architectural Patterns in Vehicle Architecture: A Case Study. ECSA (Companion) 2021 - [c102]Jennifer Horkoff, Miroslaw Staron, Wilhelm Meding:
A Method for Modeling Data Anomalies in Practice. SEAA 2021: 119-128 - [c101]Stefan Kugele, Darko Durisic, Yanja Dajsuren, Miroslaw Staron:
7th International Workshop on Automotive System/Software Architecture (WASA 2021). ICSA Companion 2021: 138 - [c100]Miroslaw Staron, Helena Odenstedt Hergés, Silvana Naredi, Linda Block, Ali El-Merhi, Richard Vithal, Mikael Elam:
Robust Machine Learning in Critical Care - Software Engineering and Medical Perspectives. WAIN@ICSE 2021: 62-69 - [c99]Khaled Walid Al-Sabbagh, Miroslaw Staron, Regina Hebig, Francisco Gomes:
A classification of code changes and test types dependencies for improving machine learning based test selection. PROMISE 2021: 40-49 - [c98]Miroslaw Staron, Wilhelm Meding, Ola Söder, Miroslaw Ochodek:
Improving Quality of Code Review Datasets - Token-Based Feature Extraction Method. SWQD 2021: 81-93 - [d1]Khaled Walid Al-Sabbagh, Miroslaw Staron:
Improving Build Outcome Prediction usingTextual Analysis of Source Code. Zenodo, 2021
- [i5]Miroslaw Staron, Helena Odenstedt Hergés, Silvana Naredi, Linda Block, Ali El-Merhi, Richard Vithal, Mikael Elam:
Robust Machine Learning in Critical Care - Software Engineering and Medical Perspectives. CoRR abs/2103.08291 (2021) - [i4]Ali El-Merhi, Helena Odenstedt Hergés, Linda Block, Mikael Elam, Richard Vithal, Jaquette Liljencrantz, Miroslaw Staron:
Towards Trustworthy Cross-patient Model Development. CoRR abs/2112.10441 (2021) - 2020
- [b4]Miroslaw Staron:
Action Research in Software Engineering - Theory and Applications. Springer 2020, ISBN 978-3-030-32609-8, pp. 1-220 - [j37]Carlos Carrillo Sanchez, Rafael Capilla, Miroslaw Staron:
Estimating the Complexity of Architectural Design Decision Networks. IEEE Access 8: 168558-168575 (2020) - [j36]Miroslaw Ochodek, Regina Hebig, Wilhelm Meding, Gert Frost, Miroslaw Staron:
Recognizing lines of code violating company-specific coding guidelines using machine learning. Empir. Softw. Eng. 25(1): 220-265 (2020) - [j35]Peter Pickerill, Heiko Joshua Jungen, Miroslaw Ochodek, Michal Mackowiak, Miroslaw Staron:
PHANTOM: Curating GitHub for engineered software projects using time-series clustering. Empir. Softw. Eng. 25(4): 2897-2929 (2020) - [j34]Miroslaw Ochodek, Sylwia Kopczynska, Miroslaw Staron:
Deep learning model for end-to-end approximation of COSMIC functional size based on use-case names. Inf. Softw. Technol. 123: 106310 (2020) - [j33]Jeffrey C. Carver, Miroslaw Staron:
Blockchain and Smart Contract Engineering. IEEE Softw. 37(4): 94-96 (2020) - [j32]Miroslaw Ochodek, Miroslaw Staron, Wilhelm Meding, Jan Bosch:
LegacyPro - A DNA-Inspired Method for Identifying Process Legacies in Software Development Organizations. IEEE Softw. 37(6): 76-85 (2020) - [c97]Wilhelm Meding, Miroslaw Staron:
Making Software Measurement Standards Understandable. EASE 2020: 368-370 - [c96]Khaled Walid Al-Sabbagh, Miroslaw Staron, Regina Hebig, Wilhelm Meding:
Improving Data Quality for Regression Test Selection by Reducing Annotation Noise. SEAA 2020: 191-194 - [c95]Miroslaw Staron, Miroslaw Ochodek, Wilhelm Meding, Ola Söder:
Using Machine Learning to Identify Code Fragments for Manual Review. SEAA 2020: 513-516 - [c94]Khaled Walid Al-Sabbagh, Miroslaw Staron, Miroslaw Ochodek, Regina Hebig, Wilhelm Meding:
Selective Regression Testing based on Big Data: Comparing Feature Extraction Techniques. ICST Workshops 2020: 322-329 - [c93]Khaled Walid Al-Sabbagh, Regina Hebig, Miroslaw Staron:
The Effect of Class Noise on Continuous Test Case Selection: A Controlled Experiment on Industrial Data. PROFES 2020: 287-303 - [c92]Khaled Walid Al-Sabbagh, Miroslaw Staron, Wilhelm Meding, Miroslaw Ochodek:
Early Prediction of Test Case Verdict with Word Embeddings vs. Bag-of-Words. SOFSEM (Doctoral Student Research Forum) 2020: 61-72 - [c91]Miroslaw Ochodek, Miroslaw Staron, Wilhelm Meding:
On Identifying Similarities in Git Commit Trends - A Comparison Between Clustering and SimSAX. SWQD 2020: 109-120 - [i3]Paul Ralph, Sebastian Baltes, Domenico Bianculli, Yvonne Dittrich, Michael Felderer, Robert Feldt, Antonio Filieri, Carlo Alberto Furia, Daniel Graziotin, Pinjia He, Rashina Hoda, Natalia Juristo, Barbara A. Kitchenham, Romain Robbes, Daniel Méndez, Jefferson Seide Molléri, Diomidis Spinellis, Miroslaw Staron, Klaas-Jan Stol, Damian A. Tamburri, Marco Torchiano, Christoph Treude, Burak Turhan, Sira Vegas:
ACM SIGSOFT Empirical Standards. CoRR abs/2010.03525 (2020)
2010 – 2019
- 2019
- [j31]Vard Antinyan, Anna Börjesson Sandberg, Miroslaw Staron:
A Pragmatic View on Code Complexity Management. Computer 52(2): 14-22 (2019) - [j30]Miroslaw Ochodek, Miroslaw Staron, Wilhelm Meding:
Simsax: A measure of project similarity based on symbolic approximation method and software defect inflow. Inf. Softw. Technol. 115: 131-147 (2019) - [j29]Darko Durisic, Miroslaw Staron, Matthias Tichy, Jörgen Hansson:
Assessing the impact of meta-model evolution: a measure and its automotive application. Softw. Syst. Model. 18(2): 1419-1445 (2019) - [c90]Vard Antinyan, Miroslaw Staron:
Mythical unit test coverage. ICSE (SEIP) 2019: 267-268 - [c89]Miroslaw Staron, Wilhelm Meding, Poupak Baniasad:
Information Needs for SAFe Teams and Release Train Management: A Design Science Research Study. IWSM-Mensura 2019: 55-70 - [c88]Md. Abdullah Al Mamun, Antonio Martini, Miroslaw Staron, Christian Berger, Jörgen Hansson:
Evolution of Technical Debt: An Exploratory Study. IWSM-Mensura 2019: 87-102 - [c87]Khaled Walid Al-Sabbagh, Miroslaw Staron, Regina Hebig, Wilhelm Meding:
Predicting Test Case Verdicts Using Textual Analysis of Committed Code Churns. IWSM-Mensura 2019: 138-153 - [c86]Salome Maro, Jan-Philipp Steghöfer, Miroslaw Staron:
Software Traceability in the Automotive Domain: Challenges and Solutions. SE/SWM 2019: 61-62 - [c85]Miroslaw Staron:
Action Research in Software Engineering: Metrics' Research Perspective (Invited Talk). SOFSEM 2019: 39-49 - [c84]Sam Halali, Miroslaw Staron, Miroslaw Ochodek, Wilhelm Meding:
Improving Defect Localization by Classifying the Affected Asset Using Machine Learning. SWQD 2019: 106-122 - [p4]Miroslaw Staron:
Requirements Engineering for Automotive Embedded Systems. Automotive Systems and Software Engineering 2019: 11-28 - [e2]Miroslaw Staron, Rafael Capilla, Amund Skavhaug:
45th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2019, Kallithea-Chalkidiki, Greece, August 28-30, 2019. IEEE 2019, ISBN 978-1-7281-3421-5 [contents] - [i2]Peter Pickerill, Heiko Joshua Jungen, Miroslaw Ochodek, Miroslaw Staron:
PHANTOM: Curating GitHub for engineered software projects using time-series clustering. CoRR abs/1904.11164 (2019) - 2018
- [b3]Miroslaw Staron, Wilhelm Meding:
Software Development Measurement Programs - Development, Management and Evolution. Springer 2018, ISBN 978-3-319-91835-8, pp. 1-258 - [j28]Miroslaw Staron, Kent Niesel, Niclas Bauman:
Milestone-Oriented Usage of Key Performance Indicators ? An Industrial Case Study. e Informatica Softw. Eng. J. 12(1): 217-236 (2018) - [j27]Miroslaw Staron, Houari A. Sahraoui, Alexandru C. Telea:
Special section on Visual Analytics in Software Engineering. Inf. Softw. Technol. 98: 117 (2018) - [j26]Salome Maro, Jan-Philipp Steghöfer, Miroslaw Staron:
Software traceability in the automotive domain: Challenges and solutions. J. Syst. Softw. 141: 85-110 (2018) - [j25]Vard Antinyan, Jesper Derehag, Anna Sandberg, Miroslaw Staron:
Mythical Unit Test Coverage. IEEE Softw. 35(3): 73-79 (2018) - [j24]Miroslaw Staron, Wilhelm Meding, Matthias Tichy, Jonas Bjurhede, Holger Giese, Ola Soder:
Industrial experiences from evolving measurement systems into self-healing systems for improved availability. Softw. Pract. Exp. 48(3): 719-739 (2018) - [c83]Sara Nadi, Jimmy Hedstrom, Miroslaw Staron:
Using Self-Healing to Increase Robustness of Handling In-Browser Third-Party Content. SEAA 2018: 210-213 - [c82]Darko Durisic, Yaping Luo, Miroslaw Staron, Yanja Dajsuren:
Message from the WASA 2018 Organizing Committee. ICSA Companion 2018: 115 - [c81]Rakesh Rana, Tommy Lagercrantz, Miroslaw Staron:
Building an Effective Software Issues Scorecard: An Action Research Report from the Automotive Domain. ICSA Companion 2018: 136-143 - [c80]Sichao Wen, Christoffer Nilsson, Miroslaw Staron:
Assessing the release readiness of engine control software. SQUADE@ICSE 2018: 5-12 - [c79]Gül Çalikli, Miroslaw Staron, Wilhelm Meding:
Measure early and decide fast: transforming quality management and measurement to continuous deployment. ICSSP 2018: 51-60 - [c78]Salome Maro, Jan-Philipp Steghöfer, Jane Huffman Hayes, Jane Cleland-Huang, Miroslaw Staron:
Vetting Automatically Generated Trace Links: What Information is Useful to Human Analysts? RE 2018: 52-63 - 2017
- [b2]Miroslaw Staron:
Automotive Software Architectures - An Introduction. Springer 2017, ISBN 978-3-319-58609-0, pp. 1-237 - [j23]Vard Antinyan, Miroslaw Staron, Anna Sandberg:
Evaluating code complexity triggers, use of complexity measures and the influence of code complexity on maintenance time. Empir. Softw. Eng. 22(6): 3057-3087 (2017) - [j22]Yanja Dajsuren, Harald Altinger, Miroslaw Staron:
2nd International Workshop on Automotive Systems and Software Architectures (WASA) - Introduction to special section. J. Syst. Archit. 79: 18 (2017) - [j21]Vard Antinyan, Miroslaw Staron:
Rendex: A method for automated reviews of textual requirements. J. Syst. Softw. 131: 63-77 (2017) - [j20]