DECA: Development Emails Content Analyzer

We are happy to announce that the paper “DECA: Development Emails Content Analyzer” got accepted at the ICSE 2016 Demonstrations Track! The paper was written in collaboration with the University of Sannio. The authors of the paper are: Andrea Di Sorbo, Sebastiano Panichella, Corrado A. Visaggio, Massimiliano Di Penta, Gerardo Canfora and Harald C. Gall.

The paper presents DECA (Development Emails Content Analyzer)  a Java tool to automatically recognize natural language fragments in emails that are relevant in the software engineering domain. Actually, DECA implements an approach which allows to recognize most informative sentences for development purposes by exploiting a set of recurrent natural language patterns that developers often use in such communication channel. DECA purpose is to capture the intent of each informative sentence (requesting a new feature, description of a problem, or proposing a solution) and consequently to allow developers to better manage the information contained in emails.

This video provides a short demonstration of DECA:

DECA is available for download at

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