Demo Data from EDBT 2026 / reviewers in the wild / expert
Jeannine Pinto
dblp:08/3368
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 1988
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Software engineering, systems software and programming languages · 1Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1 · 1 first-author
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 maintenance and evolution · 77% Empirical software engineering · 23% | |
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computing education · 100% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution
software documentation |
0.0 | 1 | 1988 | Providing the requisite knowledge via software documentation · CHI 1988 |
Computing education
programming education |
0.0 | 1 | 1986 | An Analysis of Tutorial Reasoning about Programming Bugs · AAAI 1986 |
Methods — techniques the papers use, named apart from their topics
documentation guidelines · 0.0case study · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | Providing the requisite knowledge via software documentationabstractSoftware documentation should be useful to the programmer trying to understand a program. The key in that sentence was the word should: by and large documentation has a very bad reputation. We have been working on trying to improve documentation, in order that it may realize its potential. In this case study, we examine a programmer's use of documentation constructed along some specific guidelines. These guidelines, developed from our previous studies of documentation, are intended to help programmers draw causal connections between non-contiguous portions of programming plans in the program. This documentation appears to be helpful to a particular class of programmers, i.e., those who come to a program without the requisite background knowledge. Jeannine Pinto, Elliot Soloway |
CHI | 1 |
| 1987 | Mental models and software maintenance
David C. Littman, Jeannine Pinto, Stanley Letovsky, Elliot Soloway |
J. Syst. Softw. | 2 |
| 1986 | An Analysis of Tutorial Reasoning about Programming Bugs
David C. Littman, Jeannine Pinto, Elliot Soloway |
AAAI | 2 |