On the randomness and seasonality of affective metrics for software development

Giuseppe Destefanis; Marco Ortu; Steve Counsell; Stephen Swift; Roberto Tonelli; Michele Marchesi

doi:10.1145/3019612.3019786

On the randomness and seasonality of affective metrics for software development

Giuseppe Destefanis, Marco Ortu, Steve Counsell, Stephen Swift, Roberto Tonelli, Michele Marchesi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

Abstract

The role of emotions and human aspects of software development is gaining increasing attention from both academics and developers. Software development is a complex activity, but since software is everywhere and it is necessary to achieve the highest quality possible. High technical skills, knowledge and competence of a software developer are not the only factors which inuence the final product. Good attitudes, communication skills and good manners are equally as important. In this paper we focused our attention on understanding how developer sentiment and emotions evolved over time during the development process of 10 systems, considering affectiveness as time series. We studied seasonality, randomness and correlations. Results showed that there was not a significant correlation among joy and love, sadness and anger, sentiment and joy. Regarding seasonality and randomness, results showed that in the majority of the cases, the analysed time series are seasonal and not random.

Original language	English
Title of host publication	32nd Annual ACM Symposium on Applied Computing, SAC 2017
Publisher	ACM Press
Pages	1266-1271
Number of pages	6
Volume	Part F128005
ISBN (Electronic)	9781450344869
DOIs	https://doi.org/10.1145/3019612.3019786
Publication status	Published - 3 Apr 2017
Event	32nd Annual ACM Symposium on Applied Computing, SAC 2017 - Marrakesh, Morocco Duration: 4 Apr 2017 → 6 Apr 2017

Conference

Conference	32nd Annual ACM Symposium on Applied Computing, SAC 2017
Country/Territory	Morocco
City	Marrakesh
Period	4/04/17 → 6/04/17

Keywords

Afiective analysis
Issue reports
Mining software repositories

Access to Document

10.1145/3019612.3019786Licence: Unspecified

Cite this

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title = "On the randomness and seasonality of affective metrics for software development",

abstract = "The role of emotions and human aspects of software development is gaining increasing attention from both academics and developers. Software development is a complex activity, but since software is everywhere and it is necessary to achieve the highest quality possible. High technical skills, knowledge and competence of a software developer are not the only factors which inuence the final product. Good attitudes, communication skills and good manners are equally as important. In this paper we focused our attention on understanding how developer sentiment and emotions evolved over time during the development process of 10 systems, considering affectiveness as time series. We studied seasonality, randomness and correlations. Results showed that there was not a significant correlation among joy and love, sadness and anger, sentiment and joy. Regarding seasonality and randomness, results showed that in the majority of the cases, the analysed time series are seasonal and not random.",

keywords = "Afiective analysis, Issue reports, Mining software repositories",

author = "Giuseppe Destefanis and Marco Ortu and Steve Counsell and Stephen Swift and Roberto Tonelli and Michele Marchesi",

year = "2017",

month = apr,

day = "3",

doi = "10.1145/3019612.3019786",

language = "English",

volume = "Part F128005",

pages = "1266--1271",

booktitle = "32nd Annual ACM Symposium on Applied Computing, SAC 2017",

publisher = "ACM Press",

address = "United States",

note = "32nd Annual ACM Symposium on Applied Computing, SAC 2017 ; Conference date: 04-04-2017 Through 06-04-2017",

}

Destefanis, G, Ortu, M, Counsell, S, Swift, S, Tonelli, R & Marchesi, M 2017, On the randomness and seasonality of affective metrics for software development. in 32nd Annual ACM Symposium on Applied Computing, SAC 2017. vol. Part F128005, ACM Press, pp. 1266-1271, 32nd Annual ACM Symposium on Applied Computing, SAC 2017, Marrakesh, Morocco, 4/04/17. https://doi.org/10.1145/3019612.3019786

TY - GEN

T1 - On the randomness and seasonality of affective metrics for software development

AU - Destefanis, Giuseppe

AU - Ortu, Marco

AU - Counsell, Steve

AU - Swift, Stephen

AU - Tonelli, Roberto

AU - Marchesi, Michele

PY - 2017/4/3

Y1 - 2017/4/3

N2 - The role of emotions and human aspects of software development is gaining increasing attention from both academics and developers. Software development is a complex activity, but since software is everywhere and it is necessary to achieve the highest quality possible. High technical skills, knowledge and competence of a software developer are not the only factors which inuence the final product. Good attitudes, communication skills and good manners are equally as important. In this paper we focused our attention on understanding how developer sentiment and emotions evolved over time during the development process of 10 systems, considering affectiveness as time series. We studied seasonality, randomness and correlations. Results showed that there was not a significant correlation among joy and love, sadness and anger, sentiment and joy. Regarding seasonality and randomness, results showed that in the majority of the cases, the analysed time series are seasonal and not random.

AB - The role of emotions and human aspects of software development is gaining increasing attention from both academics and developers. Software development is a complex activity, but since software is everywhere and it is necessary to achieve the highest quality possible. High technical skills, knowledge and competence of a software developer are not the only factors which inuence the final product. Good attitudes, communication skills and good manners are equally as important. In this paper we focused our attention on understanding how developer sentiment and emotions evolved over time during the development process of 10 systems, considering affectiveness as time series. We studied seasonality, randomness and correlations. Results showed that there was not a significant correlation among joy and love, sadness and anger, sentiment and joy. Regarding seasonality and randomness, results showed that in the majority of the cases, the analysed time series are seasonal and not random.

KW - Afiective analysis

KW - Issue reports

KW - Mining software repositories

UR - http://www.scopus.com/inward/record.url?scp=85020882574&partnerID=8YFLogxK

U2 - 10.1145/3019612.3019786

DO - 10.1145/3019612.3019786

M3 - Conference contribution

AN - SCOPUS:85020882574

VL - Part F128005

SP - 1266

EP - 1271

BT - 32nd Annual ACM Symposium on Applied Computing, SAC 2017

PB - ACM Press

T2 - 32nd Annual ACM Symposium on Applied Computing, SAC 2017

Y2 - 4 April 2017 through 6 April 2017

ER -

On the randomness and seasonality of affective metrics for software development

Abstract

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Keywords

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