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Sergii Shmarkatiuk

dblp:145/4021 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—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
Software maintenance and evolution · 67% Empirical software engineering · 33%
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

TopicWeightPapersLastEvidence papers
Software maintenance and evolution
code change analysis		 0.212014
How do centralized and distributed version control systems impact software changes? · ICSE 2014
Empirical software engineering
mining software repositories		 0.212014
How do centralized and distributed version control systems impact software changes? · ICSE 2014
Software maintenance and evolution › software configuration management
version control		 0.212014
How do centralized and distributed version control systems impact software changes? · ICSE 2014
Collaborative and social computing › team collaboration
collaborative software development		 0.112014
How do centralized and distributed version control systems impact software changes? · ICSE 2014

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

empirical study · 0.4
YearPublicationVenuePosition
2014 How do centralized and distributed version control systems impact software changes?
abstract
Distributed Version Control Systems (DVCS) have seen an increase in popularity relative to traditional Centralized Version Control Systems (CVCS). Yet we know little on whether developers are benefitting from the extra power of DVCS. Without such knowledge, researchers, developers, tool builders, and team managers are in the danger of making wrong assumptions.
Caius Brindescu, Mihai Codoban, Sergii Shmarkatiuk, Danny Dig
 ICSE3