EDBT 2026 Demo / reviewers in the wild / expert

Nikos Filippakis

dblp:266/9150 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—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 · 100%

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

TopicWeightPapersLastEvidence papers
Program analysis
static analysis		 0.412020
Static analysis of Java enterprise applications: frameworks and caches, the elephants in the room · PLDI 2020
Program analysis › static analysis
cache analysis		 0.112020
Static analysis of Java enterprise applications: frameworks and caches, the elephants in the room · PLDI 2020

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

static analysis · 0.4
YearPublicationVenuePosition
2020 Static analysis of Java enterprise applications: frameworks and caches, the elephants in the room
abstract
Enterprise applications are a major success domain of Java, and Java is the default setting for much modern static analysis research. It would stand to reason that high-quality static analysis of Java enterprise applications would be commonplace, but this is far from true. Major analysis frameworks feature virtually no support for enterprise applications and offer analyses that are woefully incomplete and vastly imprecise, when at all scalable.
Anastasios Antoniadis, Nikos Filippakis, Paddy Krishnan, Raghavendra Ramesh, Nicholas Allen, Yannis Smaragdakis
 PLDI2