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M. V. Mäntylä, N. Novielli, F. Lanubile, M. Claes and M. Kuutila, "Bootstrapping a Lexicon for Emotional Arousal in Software Engineering," 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR), Buenos Aires, 2017, pp. 198-202. doi: 10.1109/MSR.2017.47

Bootstrapping a lexicon for emotional arousal in software engineering

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Author: Mäntylä, Mika V.1; Novielli, Nicole2; Lanubile, Filippo2;
Organizations: 1M3S/ITEE, University of Oulu, Finland
2University of Bari, Italy
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2018082834223
Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-08-28
Description:

Abstract

Emotional arousal increases activation and performance but may also lead to burnout in software development. We present the first version of a Software Engineering Arousal lexicon (SEA) that is specifically designed to address the problem of emotional arousal in the software developer ecosystem. SEA is built using a bootstrapping approach that combines word embedding model trained on issue-tracking data and manual scoring of items in the lexicon. We show that our lexicon is able to differentiate between issue priorities, which are a source of emotional activation and then act as a proxy for arousal. The best performance is obtained by combining SEA (428 words) with a previously created general purpose lexicon by Warriner et al. (13,915 words) and it achieves Cohen’s d effect sizes up to 0.5.

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Series: IEEE International Working Conference on Mining Software Repositories
ISSN: 2160-1852
ISSN-E: 2160-1860
ISSN-L: 2160-1852
ISBN: 978-1-5386-1544-7
ISBN Print: 978-1-5386-1545-4
Pages: 198 - 202
DOI: 10.1109/MSR.2017.47
OADOI: https://oadoi.org/10.1109/MSR.2017.47
Host publication: 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR)
Conference: IEEE International Working Conference on Mining Software Repositories
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Emotional Arousal
Empirical Software Engineering
Issue Report
Lexicon
Sentiment Analysis
Article
Funding: Authors at the University of Oulu have been supported by the Academy of Finland Grant no 298020. Authors at the University of Bari have been supported by the project EmoQuest, funded by MIUR under the SIR program.
Academy of Finland Grant Number: 298020
Detailed Information: 298020 (Academy of Finland Funding decision)
Copyright information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.