Adrián Palacios

dblp:164/4773 · DBLP profile ↗
← Back
4ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0002-8747-1790ORCID · corroborated

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

Software engineering, systems software and programming languages · 3 · 1 first-authorTheory of computation · 3 · 1 first-author · 1 since 2021Computer networks · 1
YearPublicationVenuePosition
2021 Causal-Consistent Replay Reversible Semantics for Message Passing Concurrent Programs
abstract
Causal-consistent reversible debugging is an innovative technique for debugging concurrent systems. It allows one to go back in the execution focusing on the actions that most likely caused a visible misbehavior. When such an action is selected, the debugger undoes it, including all and only its consequences. This operation is called a causal-consistent rollback. In this way, the user can avoid being distracted by the actions of other, unrelated processes. In this work, we introduce its dual notion: causal-consistent replay. We allow the user to record an execution of a running program and, in contrast to traditional replay debuggers, to reproduce a visible misbehavior inside the debugger including all and only its causes. Furthermore, we present a unified framework that combines both causal-consistent replay and causal-consistent rollback. Although most of the ideas that we present are rather general, we focus on a popular functional and concurrent programming language based on message passing: Erlang.
Ivan Lanese, Adrián Palacios, Germán Vidal
Fundam. Informaticae2
2019 Causal-Consistent Replay Debugging for Message Passing Programs
Ivan Lanese, Adrián Palacios, Germán Vidal
FORTE2
2016 A Reversible Semantics for Erlang
Naoki Nishida 0001, Adrián Palacios, Germán Vidal
LOPSTR2
2015 Concolic Execution in Functional Programming by Program Instrumentation
Adrián Palacios, Germán Vidal
LOPSTR1