Projects

Reverse Engineering a Feature Model (FM) of an existing system allows its migration to a software product line approach to simplify the management of this system by applying a Software Product Line Engineering methodology that focuses mainly on the FM to determine the reusable artefacts and the variation points of the system. This thesis is a case study on the Odoo framework to define a reverse engineering approach that can drive an automatic synthesis of an FM to represent the variability architecture of the system. We manually explored the Odoo framework source code to identify variability patterns, then exploited Formal Concept Analysis properties to derive the FM based on the Odoo module’s dependencies. The heuristic that we executed for the process of reverse engineering is effective and results in FM, which describes the product configuration variability.

Many applications are developed with a lot of different purposes and can provide quality output. Nevertheless, crashes still happen. Many techniques such as unit testing, peer-reviewing, or crash reproduction are being researched to improve quality by reducing crashes. This thesis contributes to the fast-evolving field of research on crash reproduction tools. These tools seek better reproduction with minimum information as input while delivering correct outputs in various scenarios. Different approaches have previously been tested to gather input-output data, also called benchmarks, but they often take time and manual e↵ort to be usable. The research documented in this thesis endeavours to synthesize crashes using mutation testing to serve as input for crash reproduction tools.

ARIAC by DigitalWallonia4.ai is a research project funded by the Wallonia region bringing together the five French-speaking universities and four Walloon research centres with the primary objective to accelerate the development of artificial intelligence technologies in Wallonia.

The project’s general purpose is to map individual personality traits to the full spectrum of agile concepts—from the core mindset and values down to specific principles and practices. The goal is to understand how personality influences an individual’s affinity for each layer of agility, providing a nuanced guide to the human factors essential for successful agile adoption.