The size and complexity of industrial strength software systems are constantly increasing.
This means that the task of managing a large software project is becoming even more …

Software systems nowadays are complex and difficult to maintain due to continuous
changes and bad design choices. To handle the complexity of systems, software products …

In today's applications data is produced at unprecedented rates. While the capacity to collect
and store new data grows rapidly, the ability to analyze these data volumes increases at …

In migrating production workloads to cloud, enterprises often face the daunting task of
evolving monolithic applications toward a microservice architecture. At IBM, we developed a …

To maintain and understand large applications, it is important to know their architecture. The
first problem is that unlike classes and packages, architecture is not explicitly represented in …

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 …

Mobile applications (or apps) are rapidly growing in number and variety. These apps
provide useful features, but also bring certain privacy and security risks. For example …

Source code duplication occurs frequently within large software systems. Pieces of source
code, functions, and data types are often duplicated in part or in whole, for a variety of …

The majority of the algorithms in the software clustering literature utilize structural
information to decompose large software systems. Approaches using other attributes, such …

Focuses on investigating the combined use of semantic and structural information of
programs to support the comprehension tasks involved in the maintenance and …