Gaining an architectural level understanding of a software system is important for many
reasons. When the description of a system's architecture does not exist, attempts must be …

Software architectures are described by different views which depend upon the concerns of
the respective stakeholders. Far too often, software architectures are not documented …

During software evolution, programmers devote most of their effort to the understanding of
the structure and behavior of the system. For Object-Oriented code, this might be particularly …

Software systems need to evolve as business requirements, technology and environment
change. As software is modified to accommodate the required changes, its structure …

Context: Clustering algorithms, as a modularization technique, are used to modularize a
program aiming to understand large software systems as well as software refactoring. These …

Max-cut, clustering, and many other partitioning problems that are of significant importance
to machine learning and other scientific fields are NP-hard, a reality that has motivated …

Software variants emerge from ad-hoc copying in-the-large with adaptations to a specific
context. As the number of variants increases, maintaining such software variants becomes …

Decomposing a software system into smaller, more manageable clusters is a common
approach to support the comprehension of large systems. In recent years, researchers have …

Software modularization techniques are employed to understand a software system. The
purpose of modularization is to decompose a software system from a source code into …

Clustering is a useful technique to group data entities. Many different algorithms have been
proposed for software clustering. To combine the strengths of various algorithms …