Pysurveillance: A Novel Tool for Supporting Researchers in the Systematic Literature Review Process

@Article {
author = {David Velásquez Rendón},
title = {Pysurveillance: A Novel Tool for Supporting Researchers in the Systematic Literature Review Process},
pages = {248},
keywds = {
Computational Intelligence, Artificial Intelligence, Control, Robotics, Automation, Cloud Computing
}
abstract = {

Systematic literature studies aim to identify, evaluate, and combine evidence from primary studies using a rigorous method. These analyses can be time-consuming, so it is necessary to use automatic tools which optimise this process and help to obtain as much insight as possible about a research subject. We present a tool named Pysurveillance which supports researchers in the initial stages of the literature review process. This work describes (i) The process of designing and constructing Pysurveillance and (ii) a comparative study with other similar tools. The results obtained show that Pysurveillance is a tool that can be considered to support researchers in their literature review processes. It is an open-source software tool based on Python that provides researchers quantitative and qualitative bibliometric results that allow them to analyse different levels about a specific topic through visual analytics.

}
isbn = {978-981-16-9734-0},
date = {2022-05-19},
}