University of Hertfordshire

On the randomness and seasonality of affective metrics for software development

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Giuseppe Destefanis
  • Marco Ortu
  • Steve Counsell
  • Stephen Swift
  • Roberto Tonelli
  • Michele Marchesi
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Original languageEnglish
Title of host publication32nd Annual ACM Symposium on Applied Computing, SAC 2017
PublisherAssociation for Computing Machinery
Pages1266-1271
Number of pages6
VolumePart F128005
ISBN (Electronic)9781450344869
DOIs
Publication statusPublished - 3 Apr 2017
Event32nd Annual ACM Symposium on Applied Computing, SAC 2017 - Marrakesh, Morocco
Duration: 4 Apr 20176 Apr 2017

Conference

Conference32nd Annual ACM Symposium on Applied Computing, SAC 2017
CountryMorocco
CityMarrakesh
Period4/04/176/04/17

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.

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