Using Stanford Core NLP Capabilities for Semantic Information Extraction from Textual Descriptions
An Overview of Ways of Discovering Cause-effect Relations in Text by using Natural Language Processing
From Requirements to Automated Acceptance Tests with the RSL Language
Experimenting with Liveness in Cloud Infrastructure Management
Live Software Development Environment Using Virtual Reality: A Prototype and Experiment
Model-Based Risk Analysis and Evaluation Using CORAS and CVSS
Towards GDPR Compliant Software Design: A Formal Framework for Analyzing System Models
Evaluation of Software Product Quality Metrics
Model-Driven Development Applied to Mobile Health and Clinical Scores
Model-driven Software Development Combined with Semantic Mutation of UML State Machines
Model-driven Automatic Question Generation for a Gamied Clinical Guideline Training System
New Method to Reduce Verication Time of Reconfigurable Real-time Systems using R-TNCESs Formalism
On Improving R-TNCES Rebuilding for Reconfigurable Real-time Systems
Towards the Efficient Use of Dynamic Call Graph Generators of Node.js Applications
Comparison of Computer Vision Approaches in Application to the Electricity and Gas Meter Reading
Expanding Tracing Capabilities Using Dynamic Tracing Data
Automated Software Measurement Strategies Elaboration using Unsupervised Learning Data Analysis
Agile Scaled Steps of Doneness: A Standardized Procedure to Conceptualizing and Completing User Stories across Scrum Teams and Industries
Indoor Localization Techniques Within a Home Monitoring Platform.