Abstract: This paper proposes an approach to software classification in fine-grain based on SLIQ algorithm, uses testing tools and writes API’s to get both inner and outer attributes of software, cleans these data and abstract classification rules of software, and builds a classifying model applied in DBMS classification.

Key words: software classification, decision tree, Supervised Learning In Quest(SLIQ) algorithm

摘要： 提出一种基于决策树SLIQ算法的软件分类方法，在利用现有测试工具的条件下，编写应用接口，获取软件的外部属性和内部属性数据。对异构数据源进行清理转换，从中提取软件分类的规则，对软件进行细粒度的划分，构建分类模型并在数据库管理系统不同版本的分类中应用。

关键词: 软件分类, 决策树, SLIQ算法

CLC Number: 

• TP311