Demo Data from EDBT 2026 / reviewers in the wild / expert
Naveen Neelakandan
dblp:184/8073
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—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 |
Software testing · 44% Compilers and program optimization · 44% Software maintenance and evolution · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Compilers and program optimization › program instrumentation
instrumentation optimization |
0.2 | 1 | 2016 | Optimizing customized program coverage · ASE 2016 |
Software testing
test coverage |
0.2 | 1 | 2016 | Optimizing customized program coverage · ASE 2016 |
Methods — techniques the papers use, named apart from their topics
runtime overhead optimization · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Optimizing customized program coverageabstractProgram coverage is used across many stages of software development. While common during testing, program coverage has also found use outside the test lab, in production software. However, production software has stricter requirements on run-time overheads, and may limit possible program instrumentation. Thus, optimizing the placement of probes to gather program coverage is important. Peter Ohmann, David Bingham Brown, Naveen Neelakandan, Jeff T. Linderoth, Ben Liblit |
ASE | 3 |