Software quality and patterns of security frauds are directly related to legal liability patterns but, so far, software providers have succeeded in limiting their legal liability for their products. The increasing dependence of society on software changes the situation however, and calls for stronger liability rules.
The precise definition of the expected functionalities of software products is quite a challenge, not to mention the use of such definition as a basis for a liability agreement. Taking up this challenge is precisely the objective of the LISE project. To achieve this goal, software liability is addressed both from the legal and the technical points of view with the aim to put forward methods (1) to define liability in a precise and legally sound way and (2) to establish liability in case of incident.
- AMAZONES (Inria Lyon Rhône-Alpes)
- DANTE (University of Versailles Saint-Quentin-en-Yvelines)
- LICIT (Inria Grenoble Rhône-Alpes)
- PrINT (University of Caen Basse-Normandie)
- SSIR (Supelec Rennes)
- VERIMAG (University of Grenoble)