  Most software systems today do not support cognitive diversity. Further,
because of differences in problem-solving styles that cluster by gender,
software that poorly supports cognitive diversity can also embed gender biases.
To help software professionals fix gender bias "bugs" related to people's
problem-solving styles for information processing and learning of new software
we collected inclusivity fixes from three sources. The first two are empirical
studies we conducted: a heuristics-driven user study and a field research
industry study. The third is data that we obtained about a before/after user
study of inclusivity bugs. The resulting seven potential inclusivity fixes show
how to debug software to be more inclusive for diverse problem-solving styles.
