Arnau Casadevall-Saiz

dblp:401/6873 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0006-2970-9170ORCID · reported

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

Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021

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
Program analysis · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

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

TopicWeightPapersLastEvidence papers
Program analysis › dynamic analysis
program tracing
0.912025
Enabling Efficient Mobile Tracing with BTrace · ASPLOS (2) 2025
Embedded and real-time systems › mobile computing
smartphone systems
0.312025
Enabling Efficient Mobile Tracing with BTrace · ASPLOS (2) 2025

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

per-thread buffering · 1.7per-core buffering · 1.7
YearPublicationVenuePosition
2025 Enabling Efficient Mobile Tracing with BTrace
abstract
With the growing complexity of smartphone systems, effective tracing becomes vital for enhancing their stability and optimizing the user experience. Unfortunately, existing tracing tools are inefficient in smartphone scenarios. Their distributed designs (with either per-core or per-thread buffers) prioritize performance but lead to missing crucial clues with high probability. While these problems can be overlooked in previous scenarios (e.g., servers), they drastically limit the usefulness of tracing on smartphones.
Arnau Casadevall-Saiz, Diogo Behrens, Ming Fu, Ning Jia 0004, Hermann Härtig, Haibo Chen 0001
ASPLOS (2)3