Software test cases recommendation system research based on collaborative filtering
Jianxin Ge, Jiaomin Liu · 2016
With software system gradually going deep into all aspects of public life, software test, as an important way to verify that software system quality level, has received widespread attention of the society, and how to improve design quality, efficiency and reuse degree in software test use case has become a problem needs to be solved. This paper studies recommendation system principle and software test case design and property, analyzes the thought and advantages of collaborative filtering algorithm, sums up two attributes of software test cases and the key problems in collaborative filtering recommendation algorithm and related solutions, such as similarity calculation and similar neighbors calculation. At the same time it analyzes the advantages and disadvantages of various algorithms in different computational complexity and under the condition of the scene and proposes a combination coordination filtering algorithm and software test case recommendation system basic frame, and finally introduces the problems need to be improved and solved in collaborative filtering recommendation algorithm.