Imagine your apps could hear your complaints and automatically fix themselves. SUPERSEDE built tools that collect what users say about software — plus data from sensors and context around them — then use all that to update and personalize the app on the fly. Think of it like a restaurant that changes its menu based on what diners actually order and enjoy, not just what the chef assumes they want. The team tested this with real companies running energy and sports streaming services.
Software companies lose users because they cannot adapt fast enough to what people actually want. Collecting feedback manually, analyzing it, and pushing updates takes weeks or months — by then, users have moved on. The sheer diversity of devices, contexts, and preferences makes one-size-fits-all software a losing strategy for data-intensive applications.
An integrated tool suite with multimodal feedback collection, comprehensive context monitoring, runtime decision-making for software adaptation, and a data management layer — all delivered across 38 deliverables with 3 prototype iterations. Concrete tools include feedback gathering interfaces, monitoring instrumentation, automated decision-making engines, and a front-end integration platform.
If you are a mobile app company dealing with high churn because users leave before you can react to their complaints — this project developed an integrated tool suite that collects multimodal feedback directly from users, analyzes it alongside context data, and triggers software adaptations at runtime. Validated across 3 use cases with 5 industry partners.
If you are an energy software provider dealing with diverse user devices and consumption patterns that make personalization nearly impossible — this project developed monitoring and decision-making tools that adapt your application based on real usage context. One of the 3 validated use cases specifically addressed energy consumption applications.
If you are a streaming platform dealing with unpredictable viewer behavior during live events — this project developed runtime adaptation methods that adjust your service based on monitored context and user feedback. Sport event webcasting was one of the 3 validated use cases, demonstrating the tools work under real-time pressure.
The project was publicly funded with EUR 3,246,675 under Horizon 2020 RIA, meaning core results are typically available for further use. Specific licensing terms would need to be discussed with the coordinator, Fondazione Bruno Kessler. Commercial terms were not published in the project data.
The tool suite went through 3 prototype iterations (v1, v2, v3) with performance benchmarks documented in the data management deliverables. The system was designed for data-intensive applications, but scaling to millions of concurrent users would require further engineering beyond what was validated in the 3 use cases.
As a Horizon 2020 RIA project, IP typically stays with the partners who created it. The consortium included 5 industry partners across 5 countries (AT, CH, DE, ES, IT). Licensing arrangements would need to be negotiated with individual partners or the coordinator.
The project delivered multiple prototype iterations of the tool suite, including proof-of-concept software implementations across 38 deliverables. These are research prototypes validated in 3 use cases, not commercial products. Integration into a production environment would require additional development work.
SUPERSEDE built an integration layer (developed in Task 5.3) with a front-end interface (Task 5.4) designed to connect feedback collection, monitoring, and adaptation tools. Based on available project data, the tool suite was designed as a complement to existing development processes, not a replacement.
The project collected end-user feedback and monitored contextual data, which involves personal data processing. Based on available project data, the project ran from 2015-2018, overlapping with GDPR preparation. Specific compliance measures would need to be verified with the consortium.
The SUPERSEDE consortium of 9 partners across 5 countries (AT, CH, DE, ES, IT) is well balanced for a research-to-industry project, with 56% industry participation — 5 companies including 2 SMEs alongside 3 universities and 1 research organization. Led by Fondazione Bruno Kessler, a well-known Italian research foundation, the mix suggests the tools were built with real business needs in mind, not just academic curiosity. The presence of both large companies and SMEs means the solutions were tested across different organizational scales, which adds credibility for adoption.
Fondazione Bruno Kessler (Trento, Italy) — contact via institution website or SciTransfer can facilitate introduction
Want to explore how SUPERSEDE's user-feedback-driven adaptation tools could work for your software product? SciTransfer can arrange a direct introduction to the research team and help you evaluate fit.
