Evaluation of Novel Approaches to Software Engineering

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.