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Regression testing of datasets

Regression testing of datasets
数据集的回归测试
批准号:
521895-2018
负责人:
Miranskyy, Andriy
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
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英文摘要
Environics Analytics builds custom analytic solutions for their clients. These solutions require creation of specialized datasets**which should be refreshed on a regular basis. During the refresh, defects may get introduced in each dataset. The Quality**Assurance team manually tests the datasets to detect and eliminate the defects, but this process is time and resource consuming.**Our goal is to detect datasets defects automatically, to streamline data refresh schedules and reduce the cost of detecting and**fixing the defects. To reach this goal, we will develop a novel regression test framework for datasets, automating the dataset**testing process. This regression framework will be integrated into Environics Analytics software development lifecycle.**This research results will improve internal processes and bolster Environics Analytics market competitiveness, ensuring that this**Canadian company continues to be a leader in the rapidly growing industry of data analytics.
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