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Hen Amar

dblp:228/5711 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none

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

Software engineering, systems software and programming languages · 1 · 1 first-author

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
Software maintenance and evolution · 100%
Theoretical computer science
1 paper
Automata and formal languages · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software maintenance and evolution
log analysis
0.312018
Using finite-state models for log differencing · ESEC/SIGSOFT FSE 2018
Automata and formal languages
finite-state models
0.312018
Using finite-state models for log differencing · ESEC/SIGSOFT FSE 2018
Software maintenance and evolution
software evolution
0.112018
Using finite-state models for log differencing · ESEC/SIGSOFT FSE 2018

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

finite-state model extraction · 0.7
YearPublicationVenuePosition
2018 Using finite-state models for log differencing
abstract
Much work has been published on extracting various kinds of models from logs that document the execution of running systems. In many cases, however, for example in the context of evolution, testing, or malware analysis, engineers are interested not only in a single log but in a set of several logs, each of which originated from a different set of runs of the system at hand. Then, the difference between the logs is the main target of interest.
Hen Amar, Lingfeng Bao, Nimrod Busany, David Lo 0001, Shahar Maoz
ESEC/SIGSOFT FSE1