Miroslaw Staron
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Visar 82 publikationer
“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
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
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
MeTeaM-A method for characterizing mature software metrics teams
(Research) Insights for Serverless Application Engineering
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
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
Predicting and evaluating software model growth in the automotive industry
Performance in software development - Special issue editorial
Why Do We not Learn from Defects? Towards Defect-Driven Software Process Improvement
Improving fault injection in automotive model based development using fault bypass modeling
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ISO 26262 Verifiering av programvara i säkerhetskritiska EE-system (VISEE)