基于模糊筛选的软件维护任务评价

Ž. Stojanov, V. Brtka, D. Dobrilović
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引用次数: 5

摘要

软件维护任务的评估可以显著地提高维护管理的效率,维护管理被认为是软件生命周期中成本最高的部分。提出了一种基于模糊筛选的软件维护任务评价方法。本案例研究的数据集的构建基于从本地一家非常小的软件公司可用的维护存储库中提取的真实数据。在数据集的构建中,来自选定公司的研究人员和经验丰富的软件专家参与其中。分析结果表明,模糊筛选可以用于基于所选属性的维护任务评价。结论部分概述了进一步的工作方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of the software maintenance tasks based on fuzzy screening
Evaluation of software maintenance tasks can significantly contribute to the efficiency of maintenance management, which is recognized as the most costly part of the software life cycle. This paper presents an approach to evaluation of software maintenance tasks based on fuzzy screening. The construction of data set for the case study is based on the real data extracted from the maintenance repository available in a local very small software company. In the construction of data set participated researchers and experienced software experts from the selected company. Results of the analysis provide evidence that fuzzy screening can be used for evaluation of maintenance tasks based on selected attributes. Further work directions are outlined in the conclusion section.
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