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Perceived diversity in software engineering: a systematic literature review.

Gema Rodríguez-Pérez1, Reza Nadri2, Meiyappan Nagappan2

  • 1University of British Columbia, Kelowna, Canada.

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Summary

Perceived diversity in Software Engineering (SE) research primarily focuses on gender, overlooking other factors like race and age. Future studies must broaden their scope to include these underrepresented diversity aspects for more inclusive SE practices.

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Perceived diversitySoftware engineeringSystematic literature review

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Area of Science:

  • Software Engineering
  • Human-Computer Interaction
  • Diversity and Inclusion Studies

Background:

  • Perceived diversity, encompassing innate factors like race, nationality, disability, and age, is increasingly valued in Software Engineering (SE) teams.
  • While gender diversity in SE has seen extensive research, other diversity dimensions remain under-explored.
  • Existing efforts focus on acknowledging diversity benefits rather than developing mitigation strategies for SE challenges.

Purpose of the Study:

  • To systematically review and clarify research on perceived diversity in Software Engineering.
  • To identify studied issues, reported results, proposed methods/tools, and limitations concerning perceived diversity in SE.
  • To pinpoint literature gaps and propose future research directions for a broader understanding of diversity in SE.

Main Methods:

  • Systematic literature review of perceived diversity in Software Engineering.
  • Analysis of research focusing on gender diversity, race, nationality, disability, and age.
  • Identification of common themes, methodologies, and reported limitations in the existing body of work.

Main Results:

  • Current SE research on perceived diversity predominantly adopts a gender-centric lens, often highlighting bias or differences.
  • Studies frequently focus on documenting diversity issues rather than proposing actionable tools or methods for mitigation.
  • Research on perceived diversity related to race, age, and disability in SE participants is notably limited.

Conclusions:

  • The field of Software Engineering needs to move beyond a narrow focus on gender diversity.
  • Future research must encompass a wider array of perceived diversity factors, including race, age, and disability.
  • There is a critical need for the development of methods and tools to address a broader spectrum of diversity challenges in SE.