Write a Blog >>
ESEM 2021
Mon 11 - Fri 15 October 2021

Background: As contemporary software development organizations are dominated by males, occurrences of misogynistic and sexist remarks are abundant in many communities. Such remarks are barriers to promoting diversity and inclusion in the software engineering (SE) domain.

Aims: This study aims to develop a rubric to identify misogynistic remarks and sexist jokes specifically from software developer communications.

Method: We have followed the systematic literature review protocol to identify 10 primary studies that have characterized misogynistic and sexist texts in various domains.

Results: Based on our syntheses of the primary studies, we have developed a rubric to manually identity various categories of misogynistic or sexist remarks. We have also provided SE domain specific examples of those categories.

Conclusions: Our annotation guideline will pave the path towards building automated misogynistic text classifier for the SE domain.

Thu 14 Oct

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

14:20 - 15:15
Development Approaches, Requirements & Behavioral Software EngineeringTechnical Papers / Journal-first Papers / Emerging Results and Vision papers at ESEM ROOM
Chair(s): Valentina Lenarduzzi LUT University
Views on Quality Requirements in Academia and Practice: Commonalities, Differences, and Context-Dependent Grey Areas
Journal-first Papers
Andreas Vogelsang University of Cologne, Jonas Eckhardt Technische Universität München, Daniel Mendez Blekinge Institute of Technology, Moritz Berger University of Bonn
Research paper
Characteristics and Challenges of Low-Code Development: The Practitioners’ Perspective
Technical Papers
Yajing Luo Wuhan University, Peng Liang Wuhan University, Chong Wang Wuhan University, Mojtaba Shahin Monash University, Jing Zhan University of Illinois at Urbana-Champaign
Link to publication DOI Pre-print Media Attached
Towards a Human Values Dashboard for Software Development: An Exploratory Study
Technical Papers
Arif Nurwidyantoro Faculty of Information Technology, Monash University, Mojtaba Shahin Monash University, Michel Chaudron Eindhoven University of Technology, The Netherlands, Waqar Hussain Monash University, Harsha Perera Monash University, Rifat Ara Shams Monash University, Jon Whittle CSIRO's Data61 and Monash University
Pre-print Media Attached
A Rubric to Identify Misogynistic and Sexist Texts from Software Developer Communications
Emerging Results and Vision papers
Sayma Sultana Wayne State University, Jaydeb Sarker Department of Computer Science, Wayne State University, Amiangshu Bosu Wayne State University

Information for Participants