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Approaching the Relative Estimation Concept with Planning Poker
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
2018 (English)In: ACM International Conference Proceeding Series, Association for Computing Machinery , 2018, p. 21-25Conference paper, Published paper (Refereed)
Abstract [en]

Simulation is a powerful instrument in the education process that can help students experience a reality context and understand complex concepts required to accomplish practitioners' tasks. The present study aims to investigate the software engineering students' perception about the usefulness of the Planning Poker technique in relation to their understanding of the relative estimation concept. We conducted a simulation exercise where students first estimated tasks applying the concepts of relative estimation based on the concepts explained in the lecture, and then to estimate tasks applying the Agile Planning Poker technique. To investigate the students' perception, we used a survey at the end of each exercise. The preliminary results did not show statistical significance on the students' confidence to estimate relatively the user stories. However, from the students' comments and feedback, there are indications that students are more confident in using Agile Planning Poker when they are asked to estimate user stories. The study will be replicated in the near future to a different group of students with a different background, to have a better understanding and also identify possible flaws of the exercise. © 2018 Association for Computing Machinery.

Place, publisher, year, edition, pages
Association for Computing Machinery , 2018. p. 21-25
Keywords [en]
Agile Planning Poker, Learning, Simulation, Software Engineering, Computer software, Education computing, Education process, Relative estimation, Simulation exercise, Software engineering students, Statistical significance, Students
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-17629DOI: 10.1145/3289406.3289409Scopus ID: 2-s2.0-85061365993ISBN: 9781450366243 (print)OAI: oai:DiVA.org:bth-17629DiVA, id: diva2:1290831
Conference
7th Computer Science Education Research Conference, CSERC 2018, Saint-Petersburg, 10 October 2018 through 12 October 2018
Available from: 2019-02-21 Created: 2019-02-21 Last updated: 2019-02-21Bibliographically approved

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Chatzipetrou, PanagiotaOuriques, RaquelGonzalez-Huerta, Javier

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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