Understanding Approval Rating of Agile Project Management Tools using Twitter

Martina Matta, Michele Marchesi

Abstract

The role of managing a software project can be extremely complicated, requiring many teams and organizational resources. Many people are acknowledging that Agile development is helpful to business, with an high increase over the last years in the number of people who believe that Agile helps companies to complete projects faster. Since there is a multitude of available tools that supports Agile methods, in this position paper we tried to understand which tools are most looked for using Web Search media, most mentioned and most appreciated through Social media. Furthermore, we applied automated Sentiment Analysis on shared short messages of users on Twitter, one of the most popular social networks, in order to analyze automatically developers' opinions, sentiments, evaluations and attitudes.

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Paper Citation


in Harvard Style

Matta M. and Marchesi M. (2015). Understanding Approval Rating of Agile Project Management Tools using Twitter . In Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2015) ISBN 978-989-758-114-4, pages 168-173. DOI: 10.5220/0005557201680173


in Bibtex Style

@conference{icsoft-ea15,
author={Martina Matta and Michele Marchesi},
title={Understanding Approval Rating of Agile Project Management Tools using Twitter},
booktitle={Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2015)},
year={2015},
pages={168-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005557201680173},
isbn={978-989-758-114-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2015)
TI - Understanding Approval Rating of Agile Project Management Tools using Twitter
SN - 978-989-758-114-4
AU - Matta M.
AU - Marchesi M.
PY - 2015
SP - 168
EP - 173
DO - 10.5220/0005557201680173