GenderMag experiences in the field: The whole, the parts, and the workload
GenderMag experiences in the field: The whole, the parts, and the workload
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GenderMag 在该领域的经验：整体、部分和工作量
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
M. Burnett
中科院分区：
文献类型：
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作者：
Charles Hill;Shannon Ernst;A. Oleson;Amber Horvath;M. Burnett
最近的研究报告了许多对各种软件的性别包容性提出质疑的研究。软件的包容性(性别或其他)很重要，因为支持多样性很重要-众所周知，解决问题的人员群体越多样化，解决方案的质量就越高。为了帮助软件创建者识别他们软件中不包含性别的功能，我们最近创建了一种名为GenderMag的方法。在本文中，我们调查了软件专业人员团队使用GenderMag查找他们正在构建的软件的问题的经验。我们的结果显示，GenderMag人物角色的参与度很高--是其他人物角色研究的两倍多--而且大部分时间都有非常高的准确率(93%)。最后，我们的结果准确地指出了我们称之为“迂回”的情况，这些情况特别容易出错，团队在迂回中犯错的可能性是其他情况的6倍。
Recent research has reported numerous studies bringing into question the gender inclusiveness of many kinds of software. Inclusiveness of software (gender or otherwise) matters because supporting diversity matters - it is well-known that the more diverse a group of problem-solvers, the higher the quality of the solution. To help software creators identify features within their software that are not gender-inclusive, we recently created a method known as GenderMag. In this paper, we investigate the experience of teams of software professionals using GenderMag to find problems with software they are building. Our results show a high engagement with GenderMag personas - more than twice that of other personas research - and a very high degree of accuracy (93%) most of the time. Finally, our results pinpointed situations that we term “detours” that were especially prone to errors, with teams 6 times more likely to make errors in detours than they did otherwise.