Measuring Effectiveness and Affectiveness in Software Systems

Marco Ortu, who is visiting for the week, will be giving the presentation 'Measuring Effectiveness and Affectiveness in Software Systems'.

Abstract is below:

This presentation highlights the results obtained in a four-years project aiming at analyzing the development process of software artifacts from two points of view: Effectiveness and Affectiveness. The first attribute is meant to analyze the productivity of the Open Source Communities by measuring the time required to resolve an issue, while the latter provides a novel approach for studying the development process by analyzing the affectiveness expressed by developers in their comments posted during the issue resolution. Affectivenes is obtained by measuring Sentiment, Politeness and Emotions and other emotional state indicators.

Date: 13/10/2017
Time: 16:00
Location: LB252

Share this post on: Twitter| Facebook| Google+| Email

Categories

Tags

olfaction synaptic plasticity robotics machine learning Associative memory Purkinje cell Computer Science Neuromorphic hardware neural networks neuroscience Convolutional Neural Networks PCA Neuronal Morphology optimization Evolutionary algorithms Dendritic computation Persistent homology Deep learning computational modelling Open position cerebellum Neurons computational neuroscience Software development COVID-19 Network connectivity Studentship Homoeostasis Structural plasticity Artificial intelligence