Abstract/Details

A Quantitative Examination of Gender Bias and Language Paradigm in the Evaluation of Source Code

Rangel, Pamela J.   Northcentral University ProQuest Dissertations Publishing,  2018. 10784617.

Abstract (summary)

Women represent 16% of the software development workforce in the United States. Simultaneously, organizations are unable to meet the increasing demands of software development and maintenance due to a lack of personnel. Gender bias influences female departure from STEM, but for software engineering the problem is possibly exacerbated by disregarded preferences for programming paradigms which impact self-efficacy. The purpose of this study examining gender bias in STEM was to determine if software source code developed by female and male software engineers is evaluated differently, to determine if code developed under structured and object oriented paradigms is evaluated differently, and to determine if there is an interaction effect between developer gender and programing paradigm. This study was framed by Social Cognitive Career Theory, which encompasses perspectives of career choice, occupational roles, and gender bias, and their impact on self-efficacy. Respondents were asked to score source code written by a fictive male or female developer, and written in an object oriented or structured programming language, for readability, quality and organization. The independent variables, gender of code author and software language paradigm, provided the basis for 2 x 2 between subjects experimental analyses examining main effects related to readability, quality, and organization, and any interaction effect. The target population for this study was software developers or students in the United States, sought via an online survey. Participants were randomly assigned one of four code examples. No interaction effect was demonstrated, but there were significant main effects related to gender of code author and quality, and related to code paradigm and readability. The overall trend suggested the fictive female author was scored higher than the fictive male author. These unexpected results support the need for further understanding of the complexities of gender related to software engineering, and should not provide a foundation for complacency in regard to improving female participation in software engineering. This extension of Social Cognitive Career Theory to software engineering may serve to influence stakeholders in understanding why female persistence and participation in software engineering remains minimal.

Indexing (details)


Subject
Engineering;
Computer science;
Computer engineering
Classification
0464: Computer Engineering
0537: Engineering
0984: Computer science
Identifier / keyword
Applied sciences; Gender bias; Paradigm; Self-efficacy; Social cognitive career theory; Software development; Software engineering
Title
A Quantitative Examination of Gender Bias and Language Paradigm in the Evaluation of Source Code
Author
Rangel, Pamela J.
Number of pages
204
Degree date
2018
School code
1443
Source
DAI-B 79/08(E), Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
978-0-355-82264-9
Advisor
Kong, Ying
Committee member
Roberts, Kenny
University/institution
Northcentral University
Department
Business and Technology Management
University location
United States -- California
Degree
Ph.D.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
10784617
ProQuest document ID
2030074216
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
https://www.proquest.com/docview/2030074216