Maryi Arciniegas-Mendez

dblp:166/1000 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-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
Empirical software engineering · 56% Software maintenance and evolution · 44%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Empirical software engineering
collaborative software development
0.312017
Using the Model of Regulation to Understand Software Development Collaboration Practices and Tool Support · CSCW 2017

Methods — techniques the papers use, named apart from their topics

model of regulation · 0.3interview study · 0.3
YearPublicationVenuePosition
2017 Using the Model of Regulation to Understand Software Development Collaboration Practices and Tool Support
abstract
We developed the Model of Regulation to provide a vocabulary for comparing and analyzing collaboration practices and tools in software engineering. This paper discusses the model's ability to capture how individuals self-regulate their own tasks and activities, how they regulate one another, and how they achieve a shared understanding of project goals and tasks. Using the model, we created an "action-oriented" instrument that individuals, teams, and organizations can use to reflect on how they regulate their work and on the various tools they use as part of regulation. We applied this instrument to two industrial software projects, interviewing one or two stakeholders from each project. The model allowed us to identify where certain processes and communication channels worked well, while recognizing friction points, communication breakdowns, and regulation gaps. We believe this model also shows potential for application in other domains.
Maryi Arciniegas-Mendez
CSCW1