结合文本相似度的缺陷报告评分机制

Scoring Mechanism of Defect Report Based on Text Similarity

随着近年来软件行业的快速发展,社会对软件测试人才的需求也越来越大。因此,越来越多的高校在相关专业开设了“软件测试技术”课程。发现缺陷是软件测试技术培训的一项基本技能。有些缺陷很难发现,有些缺陷很容易发现。如何根据学生提交的缺陷报告中缺陷的难易程度和数量给予合理的评价,往往需要教师花费大量的时间和精力。本文提出了一种结合TF-IDF和余弦相似度的缺陷重复检测方法,并提出了一种基于学生发现缺陷的难度和数量的缺陷报告评分机制。与教师手工对缺陷报告打分相比,该打分机制合理有效,大大提高了教师的工作效率。

With the rapid development of the software industry in recent years,the demand for software testing talents in the society is also growing.Therefore,more and more colleges and universities set up"software testing technology"courses in related majors.Finding defects is a basic skill of software testing technology training.Some defects are difficult to find and some defects are easy to find.How to give reasonable evaluation according to the difficulty and quantity of defects in the defect report submitted by students often requires much of teacher’s time and effort.This paper proposes a defect repetitive detection method based on the combination of TF-IDF and cosine similarity and proposes a defect report scoring mechanism based on the difficulty level and number of defects found by students.Comparing the manually scores of the defect reports by the teachers,the scoring mechanism is reasonable and effective,and greatly improves the work efficiency of the teachers.