Clustering techniques are commonly used to decompose a software system into small units for easier comprehension. Some studies analyze syntax features or ...
Thus, these large-sized packages are separated as small-sized clusters, which are easier for developers to comprehend. Empirical studies on four real-world ...
May 31, 2024 · The sub-visual distributions are discovered through a clustering algorithm, and probabilistically associated with semantic classes using mixture ...
Abstract. During software maintenance and evolution, one of the important tasks faced by developers is to understand a system quickly and accurately.
The results show that the effectiveness of our approach is better than Latent Semantic Indexing- (LSI-) and Probabilistic Latent Semantic Analysis- (PLSA-) ...
School of Computing and Information Systems. 4-2017. Clustering classes in packages for program comprehension. Xiaobing SUN. Yangzhou University. Xiangyue LIU.
clusters. 8. Conclusion and Future Work. In this article, we propose an approach of clustering classes in large-sized packages for program comprehension. Our.
Clustering classes in packages for program comprehension ; English · Institutional Knowledge at Singapore Management University 2017 · Based clustering · Empirical ...
Feb 13, 2017 · Did someone ever think about applying a clustering approach to group such a large set of Java classes into packages?
Missing: Comprehension. | Show results with:Comprehension.
Mar 1, 2024 · On the other hand, Software classes, packages, modules, and files are the input entities when the clustering goal is architectural recovery.