Abstract
Automatic and semi-automatic approaches supporting program comprehension are sought by researchers and practitioners to facilitate software engineering tasks, such as development, maintenance, extension and so on. Using topic modeling is a promising way to automatically discover feature and structure from textual software assets. However, there are gaps between knowing and doing when applying topic modeling to software engineering practice. In this paper, we explored how to infuse topic modeling into understanding Java programs in a generic level, and summarized the whole procedure as a methodology called MAT. MAT utilizes essential information automatically generated from Java projects to establish a project overview and to bring search capability for software engineers. Experiments on two open source Java projects suggest that MAT can support program comprehension for Java software engineers during carrying on software maintenance and extension tasks.
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