Feature location by IR modules and call graph

摘要

When different types of test are performed on software, from unit test, to component test to system test many bugs can be detected and recorded in bug reports. Developers must then fix them one by one. However, an important job before fixing bugs is to locate them in source code. Given a large scale software project with hundreds of bugs, it is a tedious job to locate the problems in source code. Feature location is a solution of this problem. Feature location seeks to identify pieces of source code corresponding to a specific feature, where a feature is defined as a function in software. Since bugs have the same attributes as features, they can be treated as features. In this paper, we provide a technique to achieve feature location. The approach uses a combination of lexical information and structural information. We combine Latent Semantic Indexing with Call Graphs to on a small test case to assist in feature location. Comparing our approach to an approach that uses LSI shows improved accuracy ad effectiveness.