Samuel Sepúlveda Cuevas

dblp:00/7707 · also Samuel Sepúlveda · DBLP profile ↗
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7ranked-venue papers
2as first author
2since 2021 · last 2026
0000-0002-0369-7750ORCID · verified

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

Software engineering, systems software and programming languages · 6 · 2 first-author · 2 since 2021Artificial intelligence and machine learning · 2Databases, data management, data science and information retrieval · 2Applied, interdisciplinary, general and emerging computing · 1
YearPublicationVenuePosition
2026 Engineering Control in LLM-Based Recommender Systems
Zihao Xiao 0007, Jesús Tapia, Jorge Díaz, Samuel Sepúlveda Cuevas, Oscar Ancán Bastías, Carlos Cares
ENASE (1)4
2025 A software product line approach for developing hybrid software systems
Samuel Sepúlveda Cuevas, Ricardo Pérez-Castillo, Mario Piattini
Inf. Softw. Technol.1
2020 A Virtual Reality Approach to Automatic Blood Sample Generation
Jaime Díaz, Jeferson Arango-López, Samuel Sepúlveda Cuevas, Danay Ahumada, Fernando Moreira, Joaquin Gebauer
WorldCIST (2)3
2019 FM-CF: A framework for classifying feature model building approaches
Ricardo Gacitúa, Samuel Sepúlveda Cuevas, Raúl Mazo
J. Syst. Softw.2
2016 Feature modeling tool: A proposal using ADOxx technology
abstract
Recently there have been several efforts to address the problem of development tools for building feature models. However, such efforts have not considered a number of factors due to human imprecision such as syntax, semantics or congruence, that must be taken into account to build these models. This paper presents a proof of concept for a tool for building feature models. The tool (i) is based on a previously defined meta model, (ii) includes a set of constraints to prevent building syntactically incorrect models, (iii) use of ADOxx technology and ADO script programming language. The tool aims to provide engineers and researchers the ability to build feature models exploiting the potential that delivers ADOxx.
Marcelo Esperguel, Samuel Sepúlveda Cuevas
CLEI2
2016 Building feature models: A framework for comparing and classifying proposals
abstract
There are several proposals to build models feature either semi-automatic or fully automatic in the field of Software Product Lines. Unfortunately, there is no clarity on the common elements, their main differences and elements that characterize these proposals. The wide variety of terms used to refer to the process of building a feature model (e.g. synthesis, location, re engineering) makes the proposals are varied and very heterogeneous, which makes it complex to understand and classify them. This paper introduces a conceptual framework for classifying and comparing proposals related to the construction of feature models by semi-automatic or fully automatic means. The proposal considers six dimensions mainly focused on characterizing the input sources, methods and techniques, the results and the type of evaluation. The conceptual framework provides guidance to researchers for choosing the appropriate aspects to build feature models and helps to understand and clarify the various approaches proposed in the literature.
Ricardo Gacitúa, Samuel Sepúlveda Cuevas, Raúl Mazo
CLEI2
2016 Requirements modeling languages for software product lines: A systematic literature review
Samuel Sepúlveda Cuevas, Ania Cravero Leal, Cristina Cachero
Inf. Softw. Technol.1