Projecte R+D+i amb finançament extern
Project PID2020-114615RB-I00 LOCOSS
Low-code development of smart software
Of National scope.
Artificial Intelligence (AI) has achieved remarkable levels of effectiveness in many domains. Examples are the use of chatbots for customer support; medical imaging to help doctors diagnose medical conditions or autonomous vehicles to assist drivers. AI systems face common challenges in their development: they require a different and specialized skillset; they are hard to specify, test, verify and debug; and are complex to evolve and maintain. Explainability (the ability to justify the decisions made by AI components) and AI ethics (the ability to define and check ethical principles to be respected in such decisions, e.g. the lack of bias) are also of special importance. Moreover, AI systems are almost always part of a larger software system that embodies them. This combination is usually referred to as AI-enhanced software or simply smart software. Currently, the AI part of smart software is developed separately from the rest. This poses additional challenges: defining the communication between the AI elements and the traditional ones, the end-to-end testing of the global system, their co-evolution, ... This complexity can further increase the AI-divide between the tech giants and the rest of the World. This research project aims to change this situation. Our goal is to simplify the specification, generation, testing, deployment and evolution of any type of smart software thanks to a LOw-COde development platform for Smart Software (LOCOSS). Low-code application platf...
