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Quantitative Analysis of the Scrum Framework

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Advances in Agile and User-Centred Software Engineering (LASD 2019, MIDI 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 376))

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Abstract

Scrum provides many benefits to organizations requiring a project management framework for complex adaptive problems. Some of these benefits include improved teamwork, improved time to market, and a noticeable decrease in software defects. The primary objective of this paper is to test nineteen research hypotheses that require a quantitative analysis of the Scrum framework. In order to test these hypotheses, the findings of a survey questionnaire was used to gather response data from Scrum practitioners on their perceptions of factors affecting Scrum adoption. Exploratory factor analysis and Cronbach’s alpha analysis confirmed the validity and reliability of the measuring instrument. Following these analyses, a correlation matrix was used to test the relationship strength among the different factors. The Spearman correlation analysis revealed statistically significant correlations. Multiple linear regression statistical models were developed to examine the existence of factors and constructs impacting Scrum adoption. Our findings indicate that four of the nineteen hypotheses are statistically significant. The factors Change Resistance, Sprint Management, Relative Advantage, and Complexity are shown to have a significant linear relationship to Scrum as perceived by Scrum Practitioners working within South African organizations. Future research could incorporate a larger population sample to improve the generalizability of the findings.

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Author information

Authors and Affiliations

  1. Council for Scientific and Industrial Research, Pretoria, South Africa

    Ridewaan Hanslo

  2. Data Intensive Research Initiative of South Africa, Pretoria, South Africa

    Anwar Vahed

  3. School of Computing, College of Science, Engineering and Technology, University of South Africa, Pretoria, South Africa

    Ernest Mnkandla

Authors
  1. Ridewaan Hanslo
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  2. Anwar Vahed
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  3. Ernest Mnkandla
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Corresponding author

Correspondence to Ridewaan Hanslo .

Editor information

Editors and Affiliations

  1. Gdańsk University of Technology, Gdansk, Poland

    Adam Przybyłek

  2. University of Canterbury, Christchurch, New Zealand

    Miguel Ehécatl Morales-Trujillo

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Hanslo, R., Vahed, A., Mnkandla, E. (2020). Quantitative Analysis of the Scrum Framework. In: Przybyłek, A., Morales-Trujillo, M. (eds) Advances in Agile and User-Centred Software Engineering. LASD MIDI 2019 2019. Lecture Notes in Business Information Processing, vol 376. Springer, Cham. https://doi.org/10.1007/978-3-030-37534-8_5

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  • DOI: https://doi.org/10.1007/978-3-030-37534-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37533-1

  • Online ISBN: 978-3-030-37534-8

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