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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.

Conference Day
Tue 29 May

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

11:00 - 12:30
Machine Learning for SETechnical Papers at E4 room
Chair(s): Alexander SerebrenikEindhoven University of Technology
11:00
17m
Full-paper
Data-Driven Search-based Software Engineering
Technical Papers
A: Vivek Nair, A: Amritanshu AgrawalNorth Carolina State University, A: Jianfeng Chen , A: Wei Fu, A: George Mathew, A: Tim MenziesNorth Carolina State University, A: Leandro Minku , A: Markus Wagner , A: Zhe Yu
11:17
17m
Full-paper
The Open-Closed Principle of Modern Machine Learning Frameworks
Technical Papers
A: Houssem Ben Braiek , A: Foutse KhomhPolytechnique Montréal, A: Bram AdamsMCIS, École Polytechnique de Montréal
Pre-print
11:34
17m
Full-paper
A Benchmark Study on Sentiment Analysis for Software Engineering Research
Technical Papers
A: Nicole NovielliUniversity of Bari, A: Daniela Girardi, A: Filippo LanubileUniversity of Bari
DOI Pre-print
11:51
17m
Full-paper
A Deep Learning Approach to Identifying Source Code in Images and Video
Technical Papers
A: Jordan Ott , A: Abigail AtchisonChapman University, A: Paul Harnack , A: Adrienne Bergh , A: Erik LinsteadChapman University
DOI Pre-print
12:08
7m
Short-paper
Natural Language or Not (NLoN) - package for Software Engineering Text Analysis Pipeline
Technical Papers
A: Mika MäntyläUniversity of Oulu, A: Fabio CalefatoUniversity of Bari, A: Maëlick Claes
Pre-print
12:15
15m
Other
Discussion phase
Technical Papers