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Anna Gorb

dblp:315/8699 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · unresolved

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

Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021

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.

Databases, data mining, and information retrieval
1 paper
Recommender systems · 100%
Software engineering, system software, and programming languages
1 paper
Requirements engineering and software design · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Recommender systems › representation learning for recommendation
metric learning for recommendation		 0.612022
A Recommender Algorithm to Automatically Generate Metrics for GQM Models in Software Development · SIGMOD Conference 2022
Recommender systems › domain-specific recommendation
software engineering recommender systems		 0.612022
A Recommender Algorithm to Automatically Generate Metrics for GQM Models in Software Development · SIGMOD Conference 2022

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

multi-label classification · 1.1
YearPublicationVenuePosition
2022 A Recommender Algorithm to Automatically Generate Metrics for GQM Models in Software Development
abstract
Software development is a wicked problem that has no formal criteria of solution correctness. For this reason, developers use goal-focused software metrics to estimate and improve the quality of the result. However, it is not an easy task to determine the minimal set of metrics that fits the goals. That is why this research presents the recommender system that automatically generates metrics for each question from the GQM model using multi-label classification.
Anna Gorb
 SIGMOD Conference1