软件功能类缺陷重要程度数据

通过对功能类缺陷数据的优先级、缺陷等级、处理结果等进行分析，得出缺陷数据的重要程度得分。有助于企业对软件测试工作的KPI制定，量化对测试人员的考核。同时可以用来为代码生成机器人训练使用。数据来源：企业内部。 计分规则：对功能类缺陷数据的优先级、缺陷等级、处理结果等进行分析，得出缺陷数据的重要程度得分。 优先级评分规则：低-10、中等+0、高+10
缺陷等级评分规则：致命+20、严重+15、一般+10、轻微+5、建议+0
处理结果评分规则：Duplicate+0、Notabug+0、NotRepro+10、Open+15、Rejected+20、Reopen+5、Solved +0、Suspended+10
综合各得分，使用回归线法计算最终评分，帮助企业对软件测试工作的KPI制定，量化对测试人员的考核。

By analyzing attributes including priority, defect severity and processing results of functional defect data, the importance score of such defect data can be calculated. This dataset aids enterprises in formulating Key Performance Indicators (KPIs) for software testing work and quantifying the performance assessment of testers, and can also be utilized for training code generation robots. Data Source: Internal Enterprise.

Scoring Rules: The importance score of functional defect data is derived by analyzing its priority, defect severity, processing results and other relevant attributes.

Priority Scoring Rules: Low -10, Medium +0, High +10
Defect Severity Scoring Rules: Critical +20, Major +15, General +10, Minor +5, Suggestion +0
Processing Result Scoring Rules: Duplicate +0, Notabug +0, NotRepro +10, Open +15, Rejected +20, Reopen +5, Solved +0, Suspended +10

By combining all the above scores, the final comprehensive score is computed via the linear regression method, which assists enterprises in formulating KPIs for software testing work and quantifying the performance assessment of testers.