This repository contains our data and source code for our paper titled "Improving Quality of a Post's Set of Answers in Stack Overflow". In this paper, we propose an approach to automate the identification process of deficient posts in Stack Overflow and boost their set of answers, utilizing the help of related experts.
We have made the following public available: our implementations of machine-learning algorithms using R, our labelled data, and information about evaluators. An image describing our final model is shown below. Our paper is accessible from arxiv.
