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work:semana_9_de_2022 [2022/03/02 14:24] – [Research] magsilvawork:semana_9_de_2022 [2022/03/02 14:42] – [Research] magsilva
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       * Considering the role congruity theory, they predicted the evaluation of code reviews of code which was authored by a person that "belongs to a group whose stereotypes do not align with the perceived qualities of a successful programmer or software engineering."  The stereotype was modeled considering three dimensions: gender, race/ethnicity, and age.       * Considering the role congruity theory, they predicted the evaluation of code reviews of code which was authored by a person that "belongs to a group whose stereotypes do not align with the perceived qualities of a successful programmer or software engineering."  The stereotype was modeled considering three dimensions: gender, race/ethnicity, and age.
       * For dependable variable, they considered "the perception of unnecessary interpersonal conflict in code review while a reviewer is blocking a chance request", which is named as pushback. A pushback is identified by excessive chance requests and approval withholding of code review. That was measured by the number of review rounds, amount of time spent by reviewers, and amount of time spent by the code author addressing the reviewers' concern.       * For dependable variable, they considered "the perception of unnecessary interpersonal conflict in code review while a reviewer is blocking a chance request", which is named as pushback. A pushback is identified by excessive chance requests and approval withholding of code review. That was measured by the number of review rounds, amount of time spent by reviewers, and amount of time spent by the code author addressing the reviewers' concern.
 +      * Results: "Women [code] authors face higher odds of pushback than men; Asian, Black, and Hispanic/Latinx [code] authors face higher odds than White authors; and older [code] authors face higher odds than younger authors."
 +      * Confounding factors not accounted for: language spoken by code authors, code quality in the change under review.