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Viet-Man Le

Institute of Software Technology, Graz University of Technology

17 papers hereh-index 12503 citations63 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author3
  • middle author11
  • last author2

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.IR6
  • cs.AI5
  • cs.SE5
  • cs.HC1
affiliations
  • Institute of Software Technology, Graz University of Technology
same name
  • Viet-Man Le — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedRecommender Systems for Sustainability: Overview and Research Issues

58 citations · 146 across the 17 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.AI2021

Configuring Multiple Instances with Multi-Configuration

Alexander Felfernig, Andrei Popescu, Mathias Uta +5

Configuration is a successful application area of Artificial Intelligence. In the majority of the cases, configuration systems focus on configuring one solution (configuration) tha…

cs.AI2021

Group Recommendation Techniques for Feature Modeling and Configuration

Viet-Man Le

In large-scale feature models, feature modeling and configuration processes are highly expected to be done by a group of stakeholders. In this context, recommendation techniques ca…

cs.IR2021★ 14 cited

An Overview of Recommender Systems and Machine Learning in Feature Modeling and Configuration

Alexander Felfernig, Viet-Man Le, Andrei Popescu +3

Recommender systems support decisions in various domains ranging from simple items such as books and movies to more complex items such as financial services, telecommunication equi…

cs.SE2021★ 5 cited

DirectDebug: Automated Testing and Debugging of Feature Models

Viet-Man Le, Alexander Felfernig, Mathias Uta +3

Variability models (e.g., feature models) are a common way for the representation of variabilities and commonalities of software artifacts. Such models can be translated to a logic…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.