What You Use is What You Get: Unforced Errors in Studying Cultural Aspects in Agile Software Development

• URL: http://arxiv.org/abs/2404.17009v1
• Date: Thu, 25 Apr 2024 20:08:37 GMT
• Title: What You Use is What You Get: Unforced Errors in Studying Cultural Aspects in Agile Software Development
• Authors: Michael Neumann, Klaus Schmid, Lars Baumann,
• Abstract summary: Investigating the influence of cultural characteristics is challenging due to the multi-faceted concept of culture. Cultural and social aspects are of high importance for their successful use in practice.
• Score: 2.9418191027447906
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Context: Cultural aspects are of high importance as they guide people's behaviour and thus, influence how people apply methods and act in projects. In recent years, software engineering research emphasized the need to analyze the challenges of specific cultural characteristics. Investigating the influence of cultural characteristics is challenging due to the multi-faceted concept of culture. People's behaviour, their beliefs and underlying values are shaped by different layers of culture, e.g., regions, organizations, or groups. In this study, we focus on agile methods, which are agile approaches that focus on underlying values, collaboration and communication. Thus, cultural and social aspects are of high importance for their successful use in practice. Objective: In this paper, we address challenges that arise when using the model of cultural dimensions by Hofstede to characterize specific cultural values. This model is often used when discussing cultural influences in software engineering. Method: As a basis, we conducted an exploratory, multiple case study, consisting of two cases in Japan and two in Germany. Contributions: In this study, we observed that cultural characteristics of the participants differed significantly from cultural characteristics that would typically be expected for people from the respective country. This drives our conclusion that for studies in empirical software engineering that address cultural factors, a case-specific analysis of the characteristics is needed.

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