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Sebastian Fiss

dblp:150/8837 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

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

Software engineering, systems software and programming languages · 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
Program analysis · 36% Software maintenance and evolution · 36% Debugging and program repair · 28%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program analysis › specification mining
behavioral model inference		 0.212014
Behavioral resource-aware model inference · ASE 2014
Debugging and program repair
fault localization		 0.212014
Behavioral resource-aware model inference · ASE 2014
Software maintenance and evolution
program comprehension		 0.212014
Behavioral resource-aware model inference · ASE 2014
Program analysis
dynamic analysis		 0.112014
Behavioral resource-aware model inference · ASE 2014
Software maintenance and evolution
log analysis		 0.112014
Behavioral resource-aware model inference · ASE 2014

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

log analysis · 0.2finite-state machine inference · 0.2
YearPublicationVenuePosition
2014 Behavioral resource-aware model inference
abstract
Software bugs often arise because of differences between what developers think their system does and what the system actually does. These differences frustrate debugging and comprehension efforts. We describe Perfume, an automated approach for inferring behavioral, resource-aware models of software systems from logs of their executions. These finite state machine models ease understanding of system behavior and resource use.
Tony Ohmann, Michael Herzberg, Sebastian Fiss, Armand Halbert, Marc Palyart, Ivan Beschastnikh, Yuriy Brun
 ASE3