Miroslaw Staron

Security in a Workflow: Exploring Role-Based Agentic Architectures for Vulnerability Handling

From Large Language Models to Reasoning and Agents

“Good” and “Bad” Failures in Industrial CI/CD–Balancing Cost and Quality Assurance

Toward Design and Architecture-Level Intelligence

2026

Understanding Conversational Patterns in Multi-agent Programming: A Case Study on Fibonacci Game Development

How not to get your paper rejected — From the editors’ notebook

An Investigation of the AUTOSAR Adaptive Platform from an Industry Perspective

2026

The Impact of Class Noise-handling on the Effectiveness of Machine Learning-based Methods for Build Outcome and Code Change Request Predictions

Intentions, Standards, and Emotions: How Requirements Are Engineered in the Era of Large Language Models

Engineering Generative AI-Based Software

2026

Evaluating the Robustness and Generalizability of D-LeDe Using Multiple Automotive Datasets

2026

Literate Programming with LLMs? - A Study on Rosetta Code and CodeNet

Evaluating Train-Test Data Leakage in Automotive Image Datasets

Variant Management Impact on Architectural Maintainability in Embedded Systems – A Case Study

2026

Mapping the landscape of software vulnerabilities in connected vehicles

Agentic Pipelines in Embedded Software Engineering: Emerging Practices and Challenges

Mapping the Software Evolution Landscape in the Age of Large Language Models

From LLMS to Agents in Programming: The Impact of Providing an LLM with a Compiler

What Developers Need to Know About AI Trends in Software Engineering [Practitioners’ Digest]

2025

Guidelines for Conducting Action Research Studies in Software Engineering

An AUTOSAR-Aligned Architectural Study of Vulnerabilities in Automotive SoC Software

2025

D-LeDe: A Data Leakage Detection Method for Automotive Perception Systems

2025

ACoRA – A Platform for Automating Code Review Tasks

2025

An Empirical study on LLM-based Log Retrieval for Software Engineering Metadata Management

Understanding the Changing Landscape of Automotive Software Vulnerabilities: Insights from a Seven-Year Analysis

Building Secure Software: The Future of Security, Privacy, and Compliance

Exploring Generative AI in Automated Software Engineering

Hybrid Classical-AI Systems for Software Testing and Bug Fixing

2025

Brain Injury Biomarkers in Humans Undergoing General Anaesthesia and Noncerebral Surgery

Laws, Ethics, and Fairness in Software Engineering

AI-Based Automotive Test Case Generation: An Action Research Study on Integration of Generative AI into Test Automation Frameworks

2025

Aspects of complexity in automotive software systems and their relation to maintainability effort. A case study

Modeling and Digital Twins: Insights and Strategies for Software Engineers

A Multi-model Approach for Video Data Retrieval in Autonomous Vehicle Development

2025

Design pattern recognition: a study of large language models

Comparing Machine Learning Algorithms for Medical Time-Series Data

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

2024

A SURVEY OF RECENT AUTOMOTIVE SOFTWARE SECURITY VULNERABILITIES: TRENDS AND ATTACK VECTORS

Testing, Debugging, and Log Analysis With Modern AI Tools

Human Aspects and Security in Software Development

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

Modeling and Architecting of Complex Software Systems

Emerging Trends in Requirements Engineering and Testing

2024

CEOs' understanding of blockchain technology and its adoption in export-oriented companies in West Sweden: a survey

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

Machine Learning Best Practices for Software Engineers

Using Generative AI to Support Standardization Work - the Case of 3GPP

Exploring Image Similarity-Based Splitting Techniques in Automotive Perception Systems

Po Herbacie a przed kawa

AI, Tech, Energy, and Collaboration

Defect Backlog Size Prediction for Open-Source Projects with the Autoregressive Moving Average and Exponential Smoothing Models

Privacy, Security, Soft Requirements, and Flaky Tests

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

Assessing Security of Internal Vehicle Networks

Focusing on Developers in the Era of AI and ML

Recent Research Into Infrastructure as Code

2023

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

TransDPR: Design Pattern Recognition Using Programming Language Models

Editorial

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

Open Source Software: Communities and Quality

2023

Mining Task-Specific Lines of Code Counters

Accelerating digital transformation: 10 years of software center

Automated Code Review Comment Classification to Improve Modern Code Reviews

2022

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

Technical Debt Problems and Concerns

AI Engineering Research in Software Engineering Venues

Comparing Input Prioritization Techniques for Testing Deep Learning Algorithms

Trusting Machine Learning Results from Medical Procedures in the OperatingRoom (The 36th AAAI Conference on Artificial Intelligence)

2022

Who are Metrics Team’s Stakeholders, What Do They Expect, and How to Communicate with Them? Conducting Stakeholder Mapping with Focus on Communication in Agile Software Development Organization

Bots in Software Engineering

Trusting Machine Learning Results from Medical Procedures in the OperatingRoom (AAAI 2022 Workshop: Trustworthy AI for Healthcare)

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?

2022

Improving test case selection by handling class and attribute noise

2022

Machine learning analysis of heart rate variability to detect delayed cerebral ischemia in subarachnoid hemorrhage

2022

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

Collaboration Using Open Data

Understanding Metrics Team-Stakeholder Communication in Agile Metrics Service Delivery

(Research) Insights for Serverless Application Engineering

2021

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

2021

MeTeaM-A method for characterizing mature software metrics teams

Robust machine learning in critical care - Software engineering and medical perspectives

Applicability of machine learning architectural patterns in vehicle architecture: A case study

Towards Trustworthy Cross-patient Model Development

Machine Learning to Support Code Reviews in Continuous Integration

Automatic Program Repair

A Method for Modeling Data Anomalies in Practice

Improving Quality of Code Review Datasets – Token-Based Feature Extraction Method

Software engineering and advanced applications conference 2019 – selected papers

2020

PHANTOM: Curating GitHub for engineered software projects using time-series clustering

2020

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

2020

Selective Regression Testing based on Big Data: Comparing Feature Extraction Techniques

Using Machine Learning to Identify Code Fragments for Manual Review

LegacyPro: A DNA-inspired method for identifying process legacies in software development organizations

On Identifying Similarities in Git Commit Trends—A Comparison Between Clustering and SimSAX

Improving Data Quality for Regression Test Selection by Reducing Annotation Noise

Making Software Measurement Standards Understandable

2020

Recognizing lines of code violating company-specific coding guidelines using machine learning: A Method and Its Evaluation

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

Message from the program chairs

Simsax: A measure of project similarity based on symbolic approximation method and software defect inflow

2019

Predicting Test Case Verdicts Using TextualAnalysis of Commited Code Churns

2019

Evolution of technical debt: An exploratory study

Assessing the Impact of Meta-Model Evolution - A Measure and Its Automotive Application

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

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

Measuring the Evolution of Meta-Models - A Case Study of Modelica and UML Meta-Models

Using Machine Learning to Design a Flexible LOC Counter

Predicting and evaluating software model growth in the automotive industry

2017

Preface to the special issue on advances in software measurement

Co-evolution of Meta-Modeling Syntax and Informal Semantics in Domain-Specific Modeling Environments - A Case Study of AUTOSAR

Should We Adopt a New Version of a Standard? - A Method and its Evaluation on AUTOSAR

Analyzing defect inflow distribution and applying Bayesian inference method for software defect prediction in large software projects

Unveiling Anomalies and Their Impact on Software Quality in Model-Based Automotive Software Revisions with Software Metrics and Domain Experts

Data veracity in intelligent transportation systems: the slippery road warning scenario

Improving Measurement Certainty by Using Calibration to Find Systematic Measurement Error - A Case of Lines-of-Code Measure

A Key Performance Indicator Quality Model and Its Industrial Evaluation

A portfolio of internal quality metrics for software architects

Comparing the Applicability of Complexity Measurements for Simulink Models during Integration Testing – An Industrial Case Study

Identifying Optimal Sets of Standardized Architectural Features - A Method and its Automotive Application

Supporting Continuous Integration by Code-Churn Based Test Selection

ARCA - Automated Analysis of AUTOSAR Meta-Model Changes

Comparing the applicability of complexity measurements for simulink models during integration testing: an industrial case study

Addressing the Need for Strict Meta-Modeling in Practice - A Case Study of AUTOSAR

Collecting Product Usage Data Using a Transparent Logging Component

Identifying Optimal Sets of Standardized Architectural Features - A Method and its Automotive Application

2015

Barriers and enablers for shortening software development lead-time in mechatronics organizations: A case study

Influence of Software Complexity on ISO/IEC 26262 Software Verification Requirements

Measurement-as-a-Service - A New Way of Organizing Measurement Programs in Large Software Development Companies

On the role of cross-disciplinary research and SSE in addressing the challenges of the digitalization of society

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

Quantifying long-term evolution of industrial meta-models - A case study

On the Effect of Using SysML Requirement Diagrams to Comprehend Requirements: Results from two controlled experiments

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

Selecting software reliability growth models and improving their predictive accuracy using historical projects data

2014

Defect Prediction over Software Life Cycle in Automotive Domain - State of the Art and Road Map for Future

Performance in software development - Special issue editorial

Identifying risky areas of software code in Agile/Lean software development: An industrial experience report

The Adoption of Machine Learning Techniques for Software Defect Prediction: An Initial Industrial Validation

Analysing defect inflow distribution of automotive software projects

Dashboards for continuous monitoring of quality for software product under development

A Framework for Adoption of Machine Learning in Industry for Software Defect Prediction

Industrial Self-Healing Measurement Systems

Defining technical risks in software development

Early Verification and Validation According to ISO 26262 by Combining Fault Injection and Mutation Testing

Identifying Implicit Architectural Dependencies using Measures of Source Code Change Waves

Measuring and Visualizing Code Stability - A Case Study at Three Companies

Evaluating long-term predictive power of standard reliability growth models on automotive systems

Increasing Efficiency of ISO 26262 Verification and Validation by Combining Fault Injection and Mutation Testing with Model Based Development

Why Do We not Learn from Defects? Towards Defect-Driven Software Process Improvement

Monitoring Evolution of Code Complexity in Agile/Lean Software Development - A Case Study at Two Companies

Measuring the Impact of Changes to the Complexity and Coupling Properties of Automotive Software Systems

Comparing between Maximum Likelihood Estimator and Non-Linear Regression estimation procedures for Software Reliability Growth Modelling

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

Improving Fault Injection in Automotive Model Based Development using Fault Bypass Modeling

Evaluation of standard reliability growth models in the context of automotive software systems

Supporting Software Decision Meetings: Heatmaps for Visualising Test and Code Measurements

A light-weight defect classification scheme for embedded automotive software and its initial evaluation

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

Improving Efficiency of Change Impact Assessment Using Graphical Requirement Specifications: An Experiment

Distribution of Effort Among Software Development Artefacts: An Initial Case Study

Characterizing model usage in embedded software engineering: A 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