Selected books
- Adam Roman, Lucjan Stapp, „Certyfikowany Tester ISTQB - poziom podstawowy”, 2020
- Adam Roman, „A Study Guide to the ISTQB® Foundation Level 2018 Syllabus”, Springer Verlag (połaczony z Kluwer Academic Publishing), 2018
- Adam Roman, „Testowanie i jakość oprogramowania. Modele, techniki, narzędzia (wyd. 2 poszerzone)”, PWN, 2018
- Adam Roman, „Thinking-Driven Testing. The Most Reasonabl Approach to Quality Control”, Springer Verlag (połaczony z Kluwer Academic Publishing), 2018
Most significant publications
- Michał Mnich, Adam Roman, Test-driven development with mutation testing – an experimental study, Software Quality Journal 29 (2021), 1-38
- Igor Podolak, Adam Roman, Marek Szykuła, Bartosz Zieliński, A machine learning approach to synchronization of automata, Expert Systems with Applications 97 (2018), 357-371
- Rafał Babiarz, Adam Roman, Dynamic Stylometry for Defect Prediction, Advances in Intelligent Systems and Computing (2016), 91-102
- Mateusz Drewienkowski, Adam Roman, A complete solution to the complexity of Synchronizing Road Coloring for non-binary alphabets, Information and Computation 242 (2015), 383-393
- Igor Podolak, Adam Roman, Theoretical foundations and practical results for a hierarchical classifier with overlapping clusters, Computational Intelligence (2013), 357-388
Recent publications
- Jarosław Hryszko, Artur Michałek, Adam Roman, Application of large language models in medical interview training: a study with medical students, BMC Medical Education 26:586 (2026), 17
- Ewa Woźny, Jarosław Hryszko, Adam Roman, Leveraging Large Language Models for Software Defect Detection, Euromicro Conference on Software Engineering and Advanced Applications [SEAA] LNCS 16082 (2026), 125–142
- Adam Roman, Michał Mnich, Jarosław Hryszko, "To Measure Is to Know", but Not in Software Engineering. A Call for Operational Definitions of Code Metrics, Euromicro Conference on Software Engineering and Advanced Applications [SEAA] Lecture Notes in Computer Science (2026), 80-89
- Jarosław Hryszko, Adam Roman, Quantum machine learning algorithms in software defect prediction for cybersecurity, (2025), "AI and quantum computing in unique synergy for cybersecurity", Wydawnictwo Politechniki Śląskiej
- Jakub Zelek, Adam Roman, Diblob: A Python framework for computations on digraphs as software models with focus on effective test case design, SoftwareX 32 (2025), 102452
Interests
software testing and quality
code metrics
software quality models
test techniques
Software Defect Prediction
Major awards and honours
- Nagroda Polskiego Towarzystwa Informatycznego za Najlepszą Polską Książkę Informatyczną 2016 r. , 2016, Polskie Towarzystwo Informatyczne
Adam Roman
academic degree/title Professor positionresearch and faculty staff member group, professor
unit
- Division of Software Engineering
- Institute of Computer Science and Computational Mathematics
adam.roman@uj.edu.pl
www