Demo Data from EDBT 2026 / reviewers in the wild / expert
Ning Ci
dblp:59/1901
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1998
—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 · 87% Software maintenance and evolution · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program analysis › static analysis › program slicing
interprocedural slicing |
0.0 | 1 | 1998 | Reuse-Driven Interprocedural Slicing · ICSE 1998 |
Program analysis › static analysis
program slicing |
0.0 | 1 | 1998 | Reuse-Driven Interprocedural Slicing · ICSE 1998 |
Software maintenance and evolution
program comprehension |
0.0 | 1 | 1998 | Reuse-Driven Interprocedural Slicing · ICSE 1998 |
Methods — techniques the papers use, named apart from their topics
control flow analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Reuse-Driven Interprocedural SlicingabstractTo manage the evolution of software systems effectively, software developers must understand software systems, identify and evaluate alternative modification strategies, implement appropriate modifications, and validate the correctness of the modifications. One analysis technique that assists in many of these activities is program slicing. To facilitate the application of slicing to large software systems, we adapted a control flow-based interprocedural slicing algorithm so that it accounts for interprocedural control dependencies not recognized by other slicing algorithms, and reuses slicing information for improved efficiency. Our initial studies suggest that additional slice accuracy and slicing efficiency may be achieved with our algorithm. Mary Jean Harrold, Ning Ci |
ICSE | 2 |