Demo Data from VLDB 2026 / reviewers in the wild / expert
Nupoor Patil
dblp:222/5861
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—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 |
Empirical software engineering · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering
developer studies |
0.3 | 1 | 2018 | Open source barriers to entry, revisited: a sociotechnical perspective · ICSE 2018 |
Empirical software engineering
open source software |
0.3 | 1 | 2018 | Open source barriers to entry, revisited: a sociotechnical perspective · ICSE 2018 |
Empirical software engineering › human factors in software engineering
socio-technical analysis |
0.3 | 1 | 2018 | Open source barriers to entry, revisited: a sociotechnical perspective · ICSE 2018 |
Collaborative and social computing › peer production
open source communities |
0.1 | 1 | 2018 | Open source barriers to entry, revisited: a sociotechnical perspective · ICSE 2018 |
Methods — techniques the papers use, named apart from their topics
use case analysis · 0.7field study · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Open source barriers to entry, revisited: a sociotechnical perspectiveabstractResearch has revealed that significant barriers exist when entering Open-Source Software (OSS) communities and that women disproportionately experience such barriers. However, this research has focused mainly on social/cultural factors, ignoring the environment itself --- the tools and infrastructure. To shed some light onto how tools and infrastructure might somehow factor into OSS barriers to entry, we conducted a field study with five teams of software professionals, who worked through five use-cases to analyze the tools and infrastructure used in their OSS projects. These software professionals found tool/infrastructure barriers in 7% to 71% of the use-case steps that they analyzed, most of which are tied to newcomer barriers that have been established in the literature. Further, over 80% of the barrier types they found include attributes that are biased against women. Christopher J. Mendez, Hema Susmita Padala, Zoe Steine-Hanson, Claudia Hilderbrand, Amber Horvath, Charles Hill 0001, Logan Simpson, Nupoor Patil, Anita Sarma, Margaret M. Burnett |
ICSE | 8 |