The Struggle to Measure Gender Bias in Remote Programming Environments | HackerNoon
The validity of the experimental design in studying gender bias is significantly affected by the treatment operationalization and participant behavior during the study.
How Gender Perception Affects Developer Communication | HackerNoon
In comparing the replication data analysis to the original study, we noted a significant decrease in effectiveness, from close to 60% to nearly 40%, indicating potential variability in treatment outcomes.
How GitHub and Stack Overflow Data Were Verified for Research Accuracy | HackerNoon
To enhance construct validity, we implemented strategies such as pilot experiments for data labelling agreements and consensus involvement to mitigate personal bias.
Experiment Design and Metrics for Mutation Testing with LLMs | HackerNoon
In evaluating LLM-generated mutations, we designed metrics that encompass cost, usability, and behavior, recognizing that higher mutation scores don't guarantee higher quality.