Miroslaw Staron
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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.
Showing 150 publications
“Good” and “Bad” Failures in Industrial CI/CD–Balancing Cost and Quality Assurance
Variant Management Impact on Architectural Maintainability in Embedded Systems – A Case Study
What Developers Need to Know About AI Trends in Software Engineering [Practitioners’ Digest]
Guidelines for Conducting Action Research Studies in Software Engineering
Building Secure Software: The Future of Security, Privacy, and Compliance
ACoRA – A Platform for Automating Code Review Tasks
D-LeDe: A Data Leakage Detection Method for Automotive Perception Systems
Exploring Generative AI in Automated Software Engineering
Laws, Ethics, and Fairness in Software Engineering
Hybrid Classical-AI Systems for Software Testing and Bug Fixing
Brain Injury Biomarkers in Humans Undergoing General Anaesthesia and Noncerebral Surgery
Modeling and Digital Twins: Insights and Strategies for Software Engineers
Design pattern recognition: a study of large language models
A Multi-model Approach for Video Data Retrieval in Autonomous Vehicle Development
Bringing Software Engineering Discipline to the Development of AI-Enabled Systems
Testing, Debugging, and Log Analysis With Modern AI Tools
Human Aspects and Security in Software Development
Comparing Machine Learning Algorithms for Medical Time-Series Data
Modeling and Architecting of Complex Software Systems
Emerging Trends in Requirements Engineering and Testing
Design Patterns Understanding and Use in the Automotive Industry: An Interview Study
A SURVEY OF RECENT AUTOMOTIVE SOFTWARE SECURITY VULNERABILITIES: TRENDS AND ATTACK VECTORS
Impact of Image Data Splitting on the Performance of Automotive Perception Systems
Comparing Programming Language Models for Design Pattern Recognition
Research Highlights in Evidence-Based Software Engineering
Exploring Image Similarity-Based Splitting Techniques in Automotive Perception Systems
Using Generative AI to Support Standardization Work - the Case of 3GPP
Privacy, Security, Soft Requirements, and Flaky Tests
AI, Tech, Energy, and Collaboration
Comparing Anomaly Detection and Classification Algorithms: A Case Study in Two Domains
Focusing on Developers in the Era of AI and ML
Recent Research Into Infrastructure as Code
Assessing Security of Internal Vehicle Networks
Comparing Word-Based and AST-Based Models for Design Pattern Recognition
TransDPR: Design Pattern Recognition Using Programming Language Models
From the War in Ukraine to Cannabis Use: Exploring a Diverse Set of Papers
Mining Task-Specific Lines of Code Counters
Open Source Software: Communities and Quality
Accelerating digital transformation: 10 years of software center
Automated Code Review Comment Classification to Improve Modern Code Reviews
Predicting build outcomes in continuous integration using textual analysis of source code commits
Trusting Machine Learning Results from Medical Procedures in the OperatingRoom
Trusting Machine Learning Results from Medical Procedures in the OperatingRoom
AI Engineering Research in Software Engineering Venues
Technical Debt Problems and Concerns
Improving Software Regression Testing Using a Machine Learning-Based Method for Test Type Selection
Software Design Trends Supporting Multiconcern Assurance
How to Succeed in Communicating Software Metrics in Organization?
Comparing autoencoder-based approaches for anomaly detection in highway driving scenario images
Improving test case selection by handling class and attribute noise
Understanding Metrics Team-Stakeholder Communication in Agile Metrics Service Delivery
MeTeaM-A method for characterizing mature software metrics teams
(Research) Insights for Serverless Application Engineering
Robust machine learning in critical care - Software engineering and medical perspectives
Towards Trustworthy Cross-patient Model Development
Improving Quality of Code Review Datasets – Token-Based Feature Extraction Method
Software engineering and advanced applications conference 2019 – selected papers
A Method for Modeling Data Anomalies in Practice
Selective Regression Testing based on Big Data: Comparing Feature Extraction Techniques
Improving Data Quality for Regression Test Selection by Reducing Annotation Noise
Deep learning model for end-to-end approximation of COSMIC functional size based on use-case names
Predicting Test Case Verdicts Using TextualAnalysis of Commited Code Churns
Evolution of technical debt: An exploratory study
Assessing the Impact of Meta-Model Evolution - A Measure and Its Automotive Application
Milestone-oriented usage of key performance indicators - An industrial case study
Vetting automatically generated trace links: What information is useful to human analysts?
Comparison of model size predictors in practice
Using Machine Learning to Design a Flexible LOC Counter
Measuring the Evolution of Meta-Models - A Case Study of Modelica and UML Meta-Models
Predicting and evaluating software model growth in the automotive industry
Preface to the special issue on advances in software measurement
Should We Adopt a New Version of a Standard? - A Method and its Evaluation on AUTOSAR
Data veracity in intelligent transportation systems: the slippery road warning scenario
A portfolio of internal quality metrics for software architects
A Key Performance Indicator Quality Model and Its Industrial Evaluation
Supporting Continuous Integration by Code-Churn Based Test Selection
Addressing the Need for Strict Meta-Modeling in Practice - A Case Study of AUTOSAR
Collecting Product Usage Data Using a Transparent Logging Component
ARCA - Automated Analysis of AUTOSAR Meta-Model Changes
Influence of Software Complexity on ISO/IEC 26262 Software Verification Requirements
Identifying Complex Functions By Investigating Various Aspects of Code Complexity
Improving Dependability of Embedded Software Systems using Fault Bypass Modeling (FBM)
Evolution of Long-Term Industrial Meta-Models – A Case Study
MetricsCloud: Scaling-Up Metrics Dissemination in Large Organizations
Evolution of long-term industrial meta-models-an automotive case study of AUTOSAR
Monitoring Evolution of Code Complexity and Magnitude of Changes
Performance in software development - Special issue editorial
Quantifying long-term evolution of industrial meta-models - A case study
Dashboards for continuous monitoring of quality for software product under development
A Framework for Adoption of Machine Learning in Industry for Software Defect Prediction
Analysing defect inflow distribution of automotive software projects
Industrial Self-Healing Measurement Systems
Defining technical risks in software development
Identifying Implicit Architectural Dependencies using Measures of Source Code Change Waves
Why Do We not Learn from Defects? Towards Defect-Driven Software Process Improvement
Measuring and Visualizing Code Stability - A Case Study at Three Companies
Evaluating long-term predictive power of standard reliability growth models on automotive systems
Evaluation of standard reliability growth models in the context of automotive software systems
Supporting Software Decision Meetings: Heatmaps for Visualising Test and Code Measurements
Improving fault injection in automotive model based development using fault bypass modeling
Improving Fault Injection in Automotive Model Based Development using Fault Bypass Modeling
A Light-Weight Defect Classification Scheme for Embedded Automotive Software Development
Verification of ISO 26262 Software requirements in safety critical EE-systems
Measuring Size of Changes in Automotive Software Systems and their Impact on Product Quality
Characterizing Model Usage in Embedded Software Engineering: A Case Study
Characterizing model usage in embedded software engineering: A case study
Distribution of Effort Among Software Development Artefacts: An Initial Case Study
Use of Models in Automotive Software Development: A Case-study
A Domain Specific Modelling Language for Specifying and Visualizing Requirements
Methodology for Requirements Engineering in Model-Based Projects for Reactive Automotive Software
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Showing 6 research projects
Quantum computing for future mobility solutions
Automated and design-optimized software construction
Transforming Automotive Architecture with Assistance from AI
Architectural Design and Verification/Validation of Systems with Machine Learning Components
Verification of ISO 26262 Software requirements in safety critical EE-systems (VISEE)