Silverio Martínez-Fernández

Publications

• 1st QuASD Workshop: Managing Quality in Agile and Rapid Software Development Processes
• Data-driven and tool-supported elicitation of quality requirements in agile companies
• A framework for software reference architecture analysis and review
• Artifacts of software reference architectures: A case study
• Exploring quality-aware architectural transformations at run-time: The ENIA case
• Aggregating Empirical Evidence about the Benefits and Drawbacks of Software Reference Architectures
• QuPreSS: A service-oriented framework for predictive services quality assessment
• Benefits and drawbacks of reference architectures
• A survey on the benefits and drawbacks of AUTOSAR
• Practical experiences in designing and conducting empirical studies in industry-academia collaboration
• Benefits and drawbacks of software reference architectures: A case study
• Reference architectures and scrum: Friends or foes?
• Towards an ontology for strategic decision making: The Case of quality in rapid software development projects
• Data-driven requirements engineering in agile projects: the Q-rapids approach
• Editorial
• A quality model for actionable analytics in rapid software development
• Data Science: Technologies for Better Software
• Measuring and Improving Agile Processes in a Small-Size Software Development Company
• REARM: A reuse-based economic model for software reference architectures
• Dealing with Non-Functional Requirements in Model-Driven Development: A Survey
• 2nd QuASD Workshop: Managing Quality in Agile and Rapid Software Development Processes
• Quality measurement in agile and rapid software development: A systematic mapping
• Architectural Solutions for Self-Adaptive Systems
• Continuously assessing and improving software quality with software analytics tools: a case study
• Message from the CESI 2018 chairs
• Q-rapids tool prototype: Supporting decision-makers in managing quality in rapid software development
• Data-driven elicitation, assessment and documentation of quality requirements in agile software development
• Towards automated data integration in software analytics
• Quality-aware architectural model transformations in adaptive mashups user interfaces
• Towards guidelines for building a business case and gathering evidence of software reference architectures in industry
• Definition of the On-time Delivery Indicator in Rapid Software Development
• How Practitioners Manage Quality Requirements in Rapid Software Development: A Survey
• A framework for software reference architecture analysis and review
• Editorial
• Aggregating Empirical Evidence about the Benefits and Drawbacks of Software Reference Architectures
• Management of quality requirements in agile and rapid software development: A systematic mapping study
• Three decades of software reference architectures: A systematic mapping study
• Software Engineering for AI-Based Systems: A Survey
• Mercury: Using the QuPreSS reference model to evaluate predictive services
• Data-Driven Elicitation of Quality Requirements in Agile Companies
• Developing and Operating Artificial Intelligence Models in Trustworthy Autonomous Systems
• Architectural Decisions in AI-Based Systems: An Ontological View
• A preliminary investigation of developer profiles based on their activities and code quality: Who does what?
• Safe Traffic Sign Recognition through Data Augmentation for Autonomous Vehicles Software
• QaSD: A Quality-aware Strategic Dashboard for supporting decision makers in Agile Software Development
• Success Factors for Effective Process Metrics Operationalization in Agile Software Development: A Multiple Case Study
• Integrating Runtime Data with Development Data to Monitor External Quality: Challenges from Practice
• Practical experiences and value of applying software analytics to manage quality
• Towards suitable description of reference architectures
• Bayesian Network analysis of software logs for data‐driven software maintenance
• A Requirements Engineering Perspective to AI-Based Systems Development: A Vision Paper
• Guiding the retraining of convolutional neural networks against adversarial inputs
• Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI?
• Integration of Convolutional Neural Networks in Mobile Applications
• Gathering empirical evidence and building a business case for software reference architectures in industry
• Which design decisions in AI-enabled mobile applications contribute to greener AI?
• Metrics for Code Smells of ML Pipelines
• Analyzing the Evolution and Maintenance of ML Models on Hugging Face
• Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study
• Teaching MLOps in Higher Education through Project-Based Learning
• Do DL models and training environments have an impact on energy consumption?
• Energy Efficiency of Training Neural Network Architectures: An Empirical Study
• Skuld: A self-learning tool for impact-driven technical debt management
• Training future ML engineers: a project-based course on MLOps
• Energy Consumption of Automated Program Repair
• Identifying Architectural Design Decisions for Achieving Green ML Serving
• Evidence-based quality-aware agile software development process: Design and evaluation
• GAISSALabel: A Tool for Energy Labeling of ML Models
• Energy-efficient neural network training through runtime layer freezing, model quantization, and early stopping
• Lessons Learned from Mining the Hugging Face Repository
• Environmental Sustainability of Machine Learning Systems: Reducing the Carbon Impact of Their Lifecycle Process
• Innovating for Tomorrow: The Convergence of Software Engineering and Green AI
• A Quality Model for Actionable Analytics in Rapid Software Development
• Impact of ML optimization tactics on greener pre-trained ML models