Regression Test Case Generation Technique Using Mobile Agents

Abstract

Regression testing involves testing modified software to expose faults if any introduced by the updates. It ensures that the functionality of previous code is not affected by the updates in the modified code. The focus of regression test case generation is to generate test cases for changed functionality and is a very time consuming and labor intensive task in regression testing. Most of the regression testing systems are using localized environment for test case generation, but that alone seems to be inadequate in today s complex and rapidly changing scenario. The potential alternative to address the issues of agility and complexity seems to be distributed systems. Agent-based technology seems to be an alternative for testing multifaceted, large, complex and heterogeneous distributed systems. Agent is a portion of code that perform on behalf of a user or other program. It possess additional properties like autonomy, intelligence, proactive mobility etc. and interacts in multi-agent system. In our work, we conducted systematic literature review of existing test case generation approaches for regression testing and agent-based software testing systems. The emphasis is articulated on agent-based regression test case generation. Based on our inclusion and exclusion criteria, we identified 123 potential research papers on test case generation in regression testing and agent-based software testing and categorized them under model based testing, formal specifications based testing, structural testing, functional testing, mutation testing and random testing. The data extracted from our study are classified into seven broader areas of agent-based software testing. Based on our systematic literature survey, we recognized available techniques, approaches, platforms as well as methodologies for regression test case generation and developing agent-based software testing systems.