ASE 2022 (series) / Student Research Competition /
Identifying Sexism and Misogyny in Pull Request Comments
Tue 11 Oct 2022 15:30 - 16:00 at Ballroom A - Poster Session
Being extremely dominated by men, software development organizations lack diversity. People from other groups often encounter sexist, misogynistic, and discriminatory (SMD) speech during communication. To identify SMD contents, I aim to build an automatic misogyny identification (AMI) tool for the domain of software developers. On this goal, I built a dataset of 10,138 pull request comments mined from Github based on a keyword-based selection, followed by manual validation. Using ten-fold cross-validation, I evaluated ten machine learning algorithms for automatic identification. The best performing model achieved 67.7% precision, 55.9% recall, 60.9% f-score, and 96.2% accuracy for the best performing model.
Tue 11 OctDisplayed time zone: Eastern Time (US & Canada) change
Tue 11 Oct
Displayed time zone: Eastern Time (US & Canada) change
15:30 - 16:00 | |||
15:30 30mPoster | ASTOR: An Approach to Identify Security Code Reviews Student Research Competition Rajshakhar Paul Wayne State University | ||
15:30 30mPoster | ‘Who built this crap?’ Developing a Software Engineering Domain Specific Toxicity Detector Student Research Competition Jaydeb Sarker Department of Computer Science, Wayne State University Pre-print | ||
15:30 30mPoster | Automatically Fixing Breaking Changes of Data Science Libraries Student Research Competition Hailie Mitchell Carnegie Mellon University | ||
15:30 30mPoster | Execution Path Detection through Dynamic Analysis in Black-Box Testing Environments Student Research Competition Frank Whitworth Wake Forest University | ||
15:30 30mPoster | Automatic Software Timing Attack Evaluation & Mitigation on Clear Hardware Assumption Student Research Competition Prabuddha Chakraborty University of Florida | ||
15:30 30mPoster | Automatically Tagging the “AAA" Pattern in Unit Test Cases Using Machine Learning Models Student Research Competition Chenhao Wei Stevens Institute of Technology, Lu Xiao Stevens Institute of Technology, Tingting Yu University of Cincinnati, Xinyu Chen HSBC Software Development (Guangdong) Limited, Xiao Wang Stevens Institute of Technology, Sunny Wong Envestnet, Abigail Clune AGI | ||
15:30 30mPoster | A Unified Specification Mining Framework for Smart Contracts Student Research Competition Ye Liu Nanyang Technological University | ||
15:30 30mPoster | Identifying Sexism and Misogyny in Pull Request Comments Student Research Competition Sayma Sultana Wayne State University | ||
15:30 30mPoster | Detecting Inconsistencies in If-Condition-Raise Statements Student Research Competition Islem BOUZENIA Software Lab, University of Stuttgart | ||
15:30 30mPoster | Software Evolution Management with Differential Facts Student Research Competition Xiuheng Wu Nanyang Technological University, Singapore | ||
15:30 30mPoster | RESTCluster: Automated Crash Clustering for RESTful API Student Research Competition Yi Liu Nanyang Technological University | ||
