Abstract: The effectiveness of user session test techniques depend on the set of collected user session data, the wider this set, the greater the capability of the approach, but the wider the user session data set, the greater the cost of collecting, storing and analyzing data. For solving this problem, this paper develops a technique for reducing user session data sets in Web application test. It uses concept analysis for clustering user sessions to test suite reduction, and exploits incremental concept analysis to update data sets. It constructs an automated test prototype framework that enables to evaluate effectiveness of reduced user session data sets.

Key words: user session, Web application test, reduction, concept analysis

摘要： 基于用户会话的测试技术依赖于收集的用户会话数据集，数据集规模越大，测试效力就越强，但用于收集、储存和分析数据的成本也会迅速增加。该文提出一种在Web应用测试中对用户会话数据集进行约减的方法。运用概念分析技术聚类用户会话，从中选取数据，再利用增量式的概念分析算法更新数据集。设计一个试验原型框架用于评估新方法的实际效果。

关键词: 用户会话, Web应用测试, 约减, 概念分析

CLC Number: 

• TP311.5