面向分布式软件开发的专家推荐系统:需求、项目和初步结果

C. Trindade, Yuri Barbosa, Alan Moraes, Jones O. Albuquerque, S. Meira
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引用次数: 6

摘要

在分布式软件开发中,地理和时间上的距离会导致沟通效率低下,并影响各个团队的感知水平——接近度、活动、意识、过程和观点。低水平的感知使专家定位任务变得困难,并且在实现过程中无法在源代码中快速定位专家会使项目变慢,从而延迟其进度。本文提出Presley,一个工具,通过识别和推荐专家在某些领域的源代码使用项目沟通,减少等待帮助的时间来减少这些延迟。我们还提出了初步结果,显示了我们的方法的实际潜力
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Expert Recommender System to Distributed Software Development: Requirements, Project and Preliminary Results
In distributed software development, geographical and temporal distances turn communication inefficient and affect the various team’s perceptions levels – proximity, activity, awareness, process and perspective. The low level of perception turns the task of expert location hard and not being able to quickly locate the experts in the source code during the implementation makes the project slower, consequently delaying its schedule. This paper proposes Presley, a tool to reduce these delays through identification and recommendation of experts in some areas of the source code using the project communication, decreasing the waiting time for help. We also present preliminary results which show the practical potential of our approach
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