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MSR 2018
Mon 28 - Tue 29 May 2018 Gothenburg, Sweden
co-located with * ICSE 2018 *
Tue 29 May 2018 11:34 - 11:51 at E4 room - Machine Learning for SE Chair(s): Alexander Serebrenik

A recent research trend has emerged to identify developers’ emotions, by applying sentiment analysis to the content of communication traces left in collaborative development environments. Trying to overcome the limitations posed by using off-the-shelf sentiment analysis tools, researchers recently started to develop their own tools for the software engineering domain. In this paper, we report a benchmark study to assess the performance and reliability of three sentiment analysis tools specifically customized for software engineering. Furthermore, we offer a reflection on the open challenges, as they emerge from a qualitative analysis of misclassified texts.

Tue 29 May
Times are displayed in time zone: (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

11:00 - 12:30: Technical Papers - Machine Learning for SE at E4 room
Chair(s): Alexander SerebrenikEindhoven University of Technology
msr-2018-papers11:00 - 11:17
Vivek Nair , Amritanshu AgrawalNorth Carolina State University, Jianfeng Chen , Wei Fu, George Mathew, Tim MenziesNorth Carolina State University, Leandro Minku , Markus Wagner , Zhe Yu
msr-2018-papers11:17 - 11:34
Houssem Ben Braiek , Foutse KhomhPolytechnique Montréal, Bram AdamsMCIS, École Polytechnique de Montréal
msr-2018-papers11:34 - 11:51
Nicole NovielliUniversity of Bari, Daniela Girardi, Filippo LanubileUniversity of Bari
DOI Pre-print
msr-2018-papers11:51 - 12:08
DOI Pre-print
msr-2018-papers12:08 - 12:15
Mika MäntyläUniversity of Oulu, Fabio CalefatoUniversity of Bari, Maëlick Claes
msr-2018-papers12:15 - 12:30