Detailed knowledge about implemented concerns in the source code is crucial for the cost-
effective maintenance and successful evolution of large systems. Concern mining …

Domain analysis is a crucial step in the development of product lines and software reuse in
general, in which domain experts try to identify the commonalities and variability between …

Although today's software systems are composed of a diversity of software artifacts, source
code remains the most up-to-date artifact and therefore the most reliable data source. It …

Data-intensive software systems are generally made of a database and a collection of
application programs in strong interaction with the former. They constitute critical assets in …

Background Systems are considered legacy when their maintenance costs raise to
unmanageable levels, but they still deliver valuable benefits for companies. One intrinsic …

Los diferentes paradigmas de desarrollo de software por lo general nacen a partir de los
lenguajes de programación y de las tecnologías que permiten aplicar sus ideas. La …

Cross-cutting concerns are pieces of functionality that have not been captured into a
separate module, thereby hindering program comprehension and maintainability. Solving …

During software development, design rules and contracts in the source code are often
encoded through regularities, such as API usage protocols, coding idioms and naming …

Aspect mining is a growing area of research investigating the effective ways of finding
crosscutting concerns in existing non-aspect oriented software. Once found, these concerns …

Although object-oriented programming (OOP) methodologies immensely promote reusable
and well-factored decomposition of complex source code, legacy software systems often …