• Design Patterns for Monitoring and Prediction Machine Learning Systems: Systematic Literature Review and Cluster Analysis
• A Systematic Mapping Study on Security in Configurable Safety-Critical Systems Based on Product-Line Concepts
• ODRL-Based Resource Definition in Business Processes
• How to Make IoT Sensitive to Privacy? An Approach Based on ODRL and Illustrated With WoT TD
• Incremental Reliability Assessment of Large-Scale Software via Theoretical Structure Reduction
• Conversational Agents for Simulation Applications and Video Games
• RPA Testing Using Symbolic Execution
• Practitioners’ Experiences on Developing Graphical Modeling Editors: A Survey
• Automatic Generation of an Informative Marketing Technological Platform
• RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series
• Exploiting Relations, Sojourn-Times, and Joint Conditional Probabilities for Automated Commit Classification
• Model-Based Documentation of Architectures for Cloud-Based Systems
• Inspect-GPU: A Software to Evaluate Performance Characteristics of CUDA Kernels Using Microbenchmarks and Regression Models
• Understanding Compiler Effects on Clone Detection Process
• Goal-Modeling Privacy-by-Design Patterns for Supporting GDPR Compliance
• A Tool-Supported Approach for Modeling and Verifying Hybrid Systems using EVENT-B and the Differential Equation Solver SAGEMATH
• Towards a Novel Approach for Smart Agriculture Predictability
• A Java Testing Framework Without Reflection
• Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection
• The Power of Scrum Mastery: An Analysis of Agile Team Performance and Scrum Master Influence
• Nagare Media Engine: Towards an Open-Source Cloud- and Edge-Native NBMP Implementation
• Indentation in Source Code: A Randomized Control Trial on the Readability of Control Flows in Java Code with Large Effects
• An Exploratory Study on the Evidence of Hackathons' Role in Solving OSS Newcomers' Challenges
• Effectiveness of Data Augmentation and Ensembling Using Transformer-Based Models for Sentiment Analysis: Software Engineering Perspective
• TERA-Scaler for a Proactive Auto-Scaling of e-Business Microservices
• A Topic Modelling Method for Automated Text Analysis of the Adoption of Enterprise Risk Management
• Quality Engineering Framework for Functional Safety Automotive Projects
• An Analysis of Improving Bug Fixing in Software Development
• A Methodology Based on Quality Gates for Certifiable AI in Medicine: Towards a Reliable Application of Metrics in Machine Learning
• ADM: An Agile Template for Requirements Documentation
• Child Vaccination in Peru: How to Support it Using Cloud Computing and Blockchain
• Study on Adversarial Attacks Techniques, Learning Methods and Countermeasures: Application to Anomaly Detection
• Multi-Output Learning for Predicting Evaluation and Reopening of GitHub Pull Requests on Open-Source Projects
• The Rise of Remote Project Management - A New Norm?: A Survey on IT Organizations in Bangladesh
• A Hybrid Approach to Overcome Requirements Challenges in the Software Industry
• Trust Management and Attribute-Based Access Control Framework for Protecting Maritime Cyber Infrastructure
• Risk Management in IT Project in the Framework of Agile Development
• An Analysis of Energy Consumption of JavaScript Interpreters with Evolutionary Algorithm Workloads
• Scientometric Analysis of Fake News Detection and Machine Learning Based on VOSviewer
• Multimodal Biometric Recognition Systems based on Physiological Traits: A Systematic Mapping Study
• Source Code Implied Language Structure Abstraction through Backward Taint Analysis
• Source-Code Embedding-Based Software Defect Prediction
• CI/CD Process Development for Blockchain Environment Based on Hyperledger Infrastructure
• Verifying Data Integrity for Multi-Threaded Programs
• Towards Good Practices for Collaborative Development of ML-Based Systems
• Adopting the Actor Model for Antifragile Serverless Architectures
• A Process Mining Methodology for People Analytics: With a Case Study on Recruitment Analysis
• Towards Incremental Model-Driven Software Modernisation: Feedback from an Industrial Proof of Concept in Railways
• Towards Readability-Aware Recommendations of Source Code Snippets
• Towards Interpretable Monitoring and Assignment of Jira Issues
• ACPS: Adaptive Cyber-Physical Systems in Industry 4.0
• Blockchain for Artificial Intelligence: An Industry and Literature Survey
• Closer: A Tool Support for Efficient Learning Integrating Alexa and ChatGPT
• Towards Computer Assisted Compliance Assessment in the Development of Software as a Medical Device
• Quality Measurement of Functional Requirements
• A Blockchain Self-Sovereign Solution for Secure Generation, Exchange and Management of User Identity Data
• Software Development Life Cycle for Engineering AI Planning Systems
• Towards Resolving Security Smells in Microservices, Model-Driven
• Uncovering Behavioural Patterns of One: And Binary-Class SVM-Based Software Defect Predictors
• Execution Patterns for Quantum Applications
• Semantic Coverage: Measuring Test Suite Effectiveness
• Robotic Process Automation for the Gaming Industry
• Acadela: A Domain-Specific Language for Modeling Clinical Pathways
• Can ChatGPT Generate Code Tasks? An Empirical Study on Using ChatGPT for Generating Tasks for SQL Queries
• Differentiated Monitor Generation for Real-Time Systems
• Enhancing Game Usability: A Framework for Small-to-Medium-Sized Game Development Businesses
• Conceptual Framework for Adaptive Safety in Autonomous Ecosystems
• AIM-RL: A New Framework Supporting Reinforcement Learning Experiments
• Towards Integration of Sustainable User Experience Aspects in Systems Design: A Human-Centered Framework
• An Empirical Study on the Possible Positive Effect of Imperative Constructs in Declarative Languages: The Case with SQL
• IBE.js: A Framework for Instrumenting Browser Extensions
• Can ChatGPT Fix My Code?
• Automatic Fuzz Testing and Tuning Tools for Software Blueprints
• Automatic Test-Based Assessment of Assembly Programs
• Architectural Evolution Style Representation Model
• A Web Scraping Algorithm to Improve the Computation of the Maximum Common Subgraph
• Integration of Heterogeneous Components for Co-Simulation
• Enhancing ICS Security Diagnostics with Pseudo-Greybox Fuzzing During Maintenance Testing
• Agile Quality Requirements Elaboration: A Proposal and Evaluation
• A Knowledge-Based Proactive Intelligent System for Buildings Occupancy Monitoring
• A 3D Descriptive Model for Designing Multimodal Feedbacks in any Virtual Environment for Gesture Learning
• Beyond Traditional Web Technologies for Locally Web-Services Migration
• What's in a Persona? A Preliminary Taxonomy from Persona Use in Requirements Engineering
• A Perspective from Large vs Small Companies Adoption of Agile Methodologies
• Live Code Smell Detection of Data Clumps in an Integrated Development Environment
• Visualizing Dynamic Data-Flow Analysis of Object-Oriented Programs Based on the Language Server Protocol
• LibSteal: Model Extraction Attack Towards Deep Learning Compilers by Reversing DNN Binary Library
• An Empirical Evaluation of System-Level Test Effectiveness for Safety-Critical Software
• Evaluation of Contemporary Smart Contract Analysis Tools
• Multivocal Literature Review on Non-Technical Debt in Software Development: An Exploratory Study
• Multi-Step Reasoning for IoT Devices
• Studying Synchronization Issues for Extended Automata
• A Platform Selection Framework for Blockchain-Based Software Systems Based on the Blockchain Trilemma
• Compaction of Spacecraft Operational Models with Metamodeling Domain Knowledge
• An OWL Multi-Dimensional Information Security Ontology
• Predictive Power of Two Data Flow Metrics in Software Defect Prediction
• Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study
• A Step to Achieve Personalized Human Centric Privacy Policy Summary
• Evaluation of Approaches for Documentation in Continuous Software Development
• Toward a Deep Contextual Product Recommendation for SO-DSPL Framework
• A Comparison of Source Code Representation Methods to Predict Vulnerability Inducing Code Changes
• A Distance-Based Feature Selection Approach for Software Anomaly Detection
• Towards Synthesis of Code for Calculations Using Their Specifications
• Reverse Engineering of OpenQASM3 Quantum Programs to KDM Models
• From Descriptive to Predictive: Forecasting Emerging Research Areas in Software Traceability Using NLP from Systematic Studies
• A New Approach for Software Quality Assessment Based on Automated Code Anomalies Detection
• Methods for Model-Driven Development of IoT Applications: Requirements from Industrial Practice
• Software Code Smells and Defects: An Empirical Investigation
• A Goal-Oriented Requirements Engineering Approach for IoT Applications
• Using Bigrams to Detect Leaked Secrets in Source Code
• mHealthSwarm: A Unified Platform for mHealth Applications
• Ontology of Online Management Tools Aimed at Artificial Management Implementation: An Example of Use in Software Design
• A Study on Early & Non-Intrusive Security Assessment for Container Images
• Improved Business Analysis by Using 3D Models
• Toward a Goal-Oriented Methodology for Artifact-Centric Process Modeling
• Blockchain Technology in Medical Data Processing: A Study on Its Applications and Potential Benefits
• ASMS: A Metrics Suite to Measure Adaptive Strategies of Self-Adaptive Systems
• Web Platform for Job Recommendation Based on Machine Learning
• Extracting Queryable Knowledge Graphs from User Stories: An Empirical Evaluation
• Investigate How Developers and Managers View Security Design in Software
• Various Shades of Teaching Agile
• Specification Based Testing of Object Detection for Automated Driving Systems via BBSL
• Human-Centered Design for the Efficient Management of Smart Genomic Information
• Security Tools’ API Recommendation Using Machine Learning
• Time-Constrained, Event-Driven Coordination of Composite Resources’ Consumption Flows
• Schfuzz: Detecting Concurrency Bugs with Feedback-Guided Fuzzing
• VeriCombTest: Automated Test Case Generation Technique Using a Combination of Verification and Combinatorial Testing
• Carbon-Box Testing
• SmartMuVerf: A Mutant Verifier for Smart Contracts
• Constraint-Logic Object-Oriented Programming with Free Arrays of Reference-Typed Elements via Symbolic Aliasing
• MODINF: Exploiting Reified Computational Dependencies for Information Flow Analysis
• Efficient Academic Retrieval System Based on Aggregated Sources
• A Dynamic Service Placement in Fog Infrastructure
• Detecting Outliers in CI/CD Pipeline Logs Using Latent Dirichlet Allocation
• Software Vulnerability Prediction Knowledge Transferring Between Programming Languages
• Modelling Adaptive Systems with Nets-Within-Nets in Maude
• A Study on Hybrid Classical: Quantum Computing Instructions for a Fragment of the QuickSI Algorithm for Subgraph Isomorphism
• A Reflection on the Use of Systemic Thinking in Software Development
• Clouds Coalition Detection for Business Processes Outsourcing
• Impact of COVID-19 on the Factors Influencing on-Time Software Project Delivery: An Empirical Study
• Text Mining Studies of Software Repository Contents
• Rethinking Certification for Higher Trust and Ethical Safeguarding of Autonomous Systems
• Managing Domain Analysis in Software Product Lines with Decision Tables: An Approach for Decision Representation, Anomaly Detection and Resolution
• Towards Automated Prediction of Software Bugs from Textual Description
• Sustainability-Driven Meetings as a Way to Incorporate Sustainability into Software Development Phases
• Timed Transition Tour for Race Detection in Distributed Systems
• Git Workflow for Active Learning: A Development Methodology Proposal for Data-Centric AI Projects
• Toward a Modeling Language Prototype for Modeling the Behavior of Wireless Body Area Networks Communication Protocols
• Impact of Machine Learning on Software Development Life Cycle
• Leveraging Transformer and Graph Neural Networks for Variable Misuse Detection
• Enhancing Unit Tests in Refactored Java Programs
• An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities
• Tendencies in Database Learning for Undergraduate Students: Learning In-Depth or Getting the Work Done?
• Supervised Machine Learning for Recovering Implicit Implementation of Singleton Design Pattern
• Software Engineering Comments Sentiment Analysis Using LSTM with Various Padding Sizes
• Mapping Process Mining Techniques to Agile Software Development Perspectives
• Empirical Analysis for Investigating the Effect of Machine Learning Techniques on Malware Prediction
• Digital Twins for Trust Building in Autonomous Drones Through Dynamic Safety Evaluation
• Features and Supervised Machine Learning Based Method for Singleton Design Pattern Variants Detection
• Programming Language Identification in Stack Overflow Post Snippets with Regex Based Tf-Idf Vectorization over ANN
• An Innovative Approach to Develop Persona from Application Reviews
• InTra: A Pragmatic Approach of Using Rule-Based Model Transformation to Reduce Complexity of UML and SysML Models
• Lightweight Software Language Processing Using Antlr and CGTL
• On the Interest of Combining Several Variability Tactics to Design the Implementation of Product Lines
• Mutation of Formally Verified SysML Models
• Hierarchical Design of Cyber-Physical Systems
• Go Meta of Learned Cost Models: On the Power of Abstraction
• A Tool for Supporting Round-Trip Engineering with the Ability to Avoid Unintended Design Changes
• Model-Driven Collaborative Design of Professional Education Programmes with Extended Online Whiteboards
• Visualizing Errors and Inconsistencies in the DSML IEC 61499
• A Modelling Methodology for Developing an Information Model for Cyber-Physical Production Systems using OPC UA
• Towards Specification of Medical Processes According to International Standards and Semantic Interoperability Needs
• A Proposal Towards Discovering Metamodels from Low-Code Application Platforms
• Model-Driven Optimisation of Monitoring System Configurations for Batch Production
• Modeling Machine Learning Concerns in Collective Adaptive Systems
• Application of a Process-Oriented Build Tool for Verification and Validation of a Battery Slave Controller for a Battery Modular Multilevel Management System Along the DO-178C/DO-331 Process
• Metamodel-Based Multi-View Modeling Framework for Machine Learning Systems
• NICE: A Flexible Expression Language
• Challenges in Modeling and Unmodeling Emergence, Rule Composition, and Networked Interactions in Complex Reactive Systems
• Creating Python-Style Domain Specific Languages: A Semi-Automated Approach and Intermediate Results
• Exploiting Meta-Model Structures in the Generation of Xtext Editors
• Experiences and Lessons from Introducing Model-Based Analysis in Brown-Field Product Family Development
• Requirement Formalisation Using Natural Language Processing and Machine Learning: A Systematic Review
• An Integrated Framework for Running Extended Class Models
• Supporting Change Impact Analysis in System Architecture Design: Towards a Domain-Specific Modeling Method
• Verifying Static Constraints on Models Using General Formal Verification Methods
• Enhancing Deep Learning with Scenario-Based Override Rules: A Case Study
• Towards Multi-Level Structuring of Goal-Oriented Models for Improved Model-Based Systems Engineering
• Toward Automated Modeling of Abstract Concepts and Natural Phenomena: Autoencoding Straight Lines
• ATMO: Autonomous Train Map Ontology
• Future Directions for MBSE with SysML v2