期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2012
卷号：1
期号：3
页码：189-195
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Most interesting software systems are large and complex, and as a consequence, understanding their structure is difficult. One of the reasons for this complexity is that source code contains many entities (e.g., classes, modules) that depend on each other in intricate ways (e.g., procedure calls, variable references). Additionally, once a software engineer understands a system's structure, it is difficult to preserve this understanding, because the structure tends to change during maintenance. Research into the software clustering problem has proposed several approaches to deal with the above issue by defining techniques that partition the structure of a software system into subsystems (clusters). Subsystems are collections of source code resources that exhibit similar features, properties or behaviors. Because there are far fewer subsystems than modules, studying the subsystem structure is easier than trying to understand the system by analyzing the source code manually. The contribution of the work included: In previous single objective search problem has been developed. Our ultimate goal is to develop the multi-objective search problem and compared with Single-objective search problem. The results of this empirical study provide strong evidence to support the claim that the multi- objective approach provides significantly better solutions than the existing single-objective approach.
