Demo Data from SIGIR 2026 / reviewers in the wild / expert
Allison Waingold
dblp:69/5552
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2Databases, data management, data science and information retrieval · 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
2 papers |
Program analysis · 66% Software maintenance and evolution · 26% Programming languages and type systems · 8% | |
| Databases, data mining, and information retrieval
1 paper |
Data models and query languages · 100% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program analysis
static analysis |
0.1 | 2 | 2001 | Lightweight Extraction of Object Models from Bytecode · IEEE Trans. Software Eng. 2001 Lightweight Extraction of Object Models from Bytecode · ICSE 1999 |
Data models and query languages
query interface |
0.1 | 1 | 2005 | Query By Excel · VLDB 2005 |
Software maintenance and evolution › reverse engineering
design recovery |
0.0 | 1 | 2001 | Lightweight Extraction of Object Models from Bytecode · IEEE Trans. Software Eng. 2001 |
Program analysis › binary analysis
bytecode analysis |
0.0 | 1 | 1999 | Lightweight Extraction of Object Models from Bytecode · ICSE 1999 |
Data models and query languages
query language |
0.0 | 1 | 2005 | Query By Excel · VLDB 2005 |
Methods — techniques the papers use, named apart from their topics
heuristic analysis · 0.0bytecode analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Query By Excel
Andrew Witkowski, Srikanth Bellamkonda, Tolga Bozkaya, Aman Naimat, Sankar Subramanian, Allison Waingold |
VLDB | 7 |
| 2001 | Lightweight Extraction of Object Models from BytecodeabstractA program's object model captures the essence of its design. For some programs, no object model was developed during design; for others, an object model exists but may be out-of-sync with the code. This paper describes a tool that automatically extracts an object model from the class-files of a Java program. Unlike existing tools, it handles container classes by inferring the types of elements stored in a container and eliding the container itself. This feature is crucial for obtaining models that show the structure of the abstract state and bear some relation to conceptual models. Although the tool performs only a simple, heuristic analysis that is almost entirely local, the resulting object model is surprisingly accurate. The paper explains what object models are and why they are useful; describes the analysis, its assumptions, and limitations; evaluates the tool for accuracy, and illustrates its use on a suite of sample programs. Daniel Jackson 0001, Allison Waingold |
IEEE Trans. Software Eng. | 2 |
| 1999 | Lightweight Extraction of Object Models from BytecodeabstractA program's object model captures the essence of its design.For some programs, no object model was developed during design; for others, an object model exists but may be outof-sync with the code.This paper describes a tool that automatically extracts an object model from the classfiles of a Java program.Although the tool performs only a simple, heuristic analysis that is almost entirely local, the resulting object model is surprisingly accurate.The paper explains the form of the object model, the assumptions upon which the analysis is based, and its limitations, and evaluates the tool on a suite of sample programs.1 Daniel Jackson 0001, Allison Waingold |
ICSE | 2 |