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Gabrio Rivera

dblp:94/22 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Programming languages and type systems › type systems
strong typing
0.012004
"May you have a Strong (-typed) Foundation" why Strong-typed Programming Languages do Matter · ICRA 2004
Programming languages and type systems › type systems
type soundness
0.012004
"May you have a Strong (-typed) Foundation" why Strong-typed Programming Languages do Matter · ICRA 2004

Methods — techniques the papers use, named apart from their topics

case study · 0.0
YearPublicationVenuePosition
2004 "May you have a Strong (-typed) Foundation" why Strong-typed Programming Languages do Matter
abstract
Programming efficient and reliable code can be considered a non-trivial task, as it requires deep understanding of the problem to be solved along with good programming skills. However, software frameworks and programming paradigms can provide a dependable infrastructure upon which better programs can be written and deployed. This allows engineers to focus mainly on their task, while relying on the underlying run-time environment for taking care of low-level programming issues, such as memory allocation and disposal, typing consistency and interface compliance. In this paper, we argue that strong-typed programming languages and paradigms offer a valid support for the production of reliable programs. Aware of the challenges of formal measurement metrics for code quality, we present the benefits of strong-typing by considering a practical application: the design and implementation of RoboX, a tour-guide robot for the Swiss National Exhibition Expo.02. The example is extremely well suited for such a discussion, since complex mechatronic applications can be considered critical systems - i.e., systems whose failure may endanger missions, lives and society - thus their reliability has to be made a prime concern.
Nicola Tomatis, Roberto Brega, Gabrio Rivera, Roland Siegwart
ICRA3
2003 Project InfoSpace: From Information Managing to Information Representation
Pamela Ravasio, Ljiljana Vukelja, Gabrio Rivera, Moira C. Norrie
INTERACT3