Reducing code duplication by identifying fresh domain abstractions

When software components are developed iteratively, code frequently evolves in an inductive manner: A unit is created and is then copied and modified many times. Such development often happens when variation points and, hence, proper domain abstractions are initially unclear. As a result, there may be substantial amounts of code duplication, and...

Pitfalls in applying model learning to industrial legacy software

Maintaining legacy software is one of the most common struggles of the software industry, being costly yet essential. We tackle that problem by providing better understanding of software by extracting behavioural models using the model learning technique. The used technique interacts with a running component and extracts abstract models that...

Cost-effective industrial software rejuvenation using domain-specific models

Software maintenance consumes a significant and increasing proportion of industrial software engineering budgets, only to maintain the existing product functionality. This hinders the development of new innovative features with added value to customers. To make software development efforts more effective, legacy software needs to be rejuvenated...