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Jeannine Pinto

dblp:08/3368 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Software maintenance and evolution
software documentation
0.011988
Providing the requisite knowledge via software documentation · CHI 1988
Computing education
programming education
0.011986
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
YearPublicationVenuePosition
1988 Providing the requisite knowledge via software documentation
abstract
Software 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
CHI1
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
AAAI2