Grand Challenge: Automatic Anomaly Detection over Sliding Window
Grand Challenge: Automatic Anomaly Detection over Sliding Window
Guidelines for Managing Requirements Rationales
Historical Markings in Neuroevolution of~Augmenting Topologies Revisited
Historical markings in the NEAT algorithm provides a powerful feature for easy genetic alignment of any networks in the population, and allows speciation to protect networks with novelties. The original approach incorporated in NEAT always generates a new record for a connection with a unique ID when the connection is proposed in a generation. However,...
A historical, textual analysis approach to feature location
How Best to Teach Global Software Engineering? Educators Are Divided
How Does Scrum Conform to the Regulatory Requirements Defined in MDevSPICE{textregistered}?
From Problem Landscapes to Language Landscapes: Questions in Genetic Improvement
A fully model-based approach to the design of the SEcube: community web app
Gems: A novel method to accelerate Evolutionary Algorithms
Generating Loop Invariants for Program Verification by Transformation