Work

Reverse engineering variability in an industrial product line

Year: 2018

Type: conference-paper

Abstract: Ideally, a variability model is a correct and complete representation of product line features and constraints among them. Together with a mapping between features and code, this ensures that only valid products can be configured and derived. However, in practice the modeled constraints might be neither complete nor correct, which causes problems in the configuration and product derivation phases. This paper presents an approach to reverse engineer variability constraints from the implementation, and thus improve the correctness and completeness of variability models.

DOI: 10.1145/3233027.3233047

Authors: Sascha El-Sharkawy, Saura Jyoti Dhar, Adam Krafczyk, Slawomir Duszynski, Tobias Beichter, Klaus Schmid

Institutions: University of Hildesheim, Robert Bosch (Germany)

Language: English

Topic: Advanced Software Engineering Methodologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, ITEA3

Award: G647003106