Matias Pol'la

11 papers C 1Journal 4Unranked 6
YearRankTypeTitle / Venue / Authors
2022 J jnl
Improving Variabilty Analysis through Scenario-Based Incompatibility Detection.
Inf.
Agustina Buccella, Matias Pol'la, Alejandra Cechich
2021 J jnl
Analysis of variability models: a systematic literature review.
Softw. Syst. Model.
Matias Pol'la, Agustina Buccella, Alejandra Cechich
2019 — conf
Using Scope Scenarios to Verify Multiple Variability Models.
ICCSA (5)
Matias Pol'la, Agustina Buccella, Alejandra Cechich
2018 — conf
Automated Analysis of Variability Models: The SeVaTax Process.
ICCSA (4)
Matias Pol'la, Agustina Buccella, Alejandra Cechich
2018 — conf
Combining Automatic Variability Analysis Tools: An SPL Approach for Building a Framework for Composition.
ICCSA (4)
Agustina Buccella, Matias Pol'la, Esteban Ruiz de Galarreta, Alejandra Cechich
2017 — conf
A DL Semantics for Reasoning over OVM-based Variability Models.
Description Logics
Germán Alejandro Braun, Matias Pol'la, Laura Andrea Cecchi, Agustina Buccella, Pablo R. Fillottrani, Alejandra Cechich
2015 C conf
A Reusable Software Architecture for Geographic Information Systems Based on Software Product Line Engineering.
MEDI
Nieves R. Brisaboa, Alejandro Cortiñas, Miguel Rodríguez Luaces, Matias Pol'la
2015 — conf
SeVaTax: service taxonomy selection & validation process for SPL development.
SCCC
Matias Pol'la, Agustina Buccella, Maximiliano Arias, Alejandra Cechich
2014 — conf
A Variability Representation Approach Based on Domain Service Taxonomies and Their Dependencies.
SCCC
Agustina Buccella, Matias Pol'la, Alejandra Cechich, Maximiliano Arias
2014 J jnl
Marine ecology service reuse through taxonomy-oriented SPL development.
Comput. Geosci.
Agustina Buccella, Alejandra Cechich, Matias Pol'la, Maximiliano Arias, Maria del Socorro Doldan, Enrique Morsan
2013 J jnl
Towards systematic software reuse of GIS: Insights from a case study.
Comput. Geosci.
Agustina Buccella, Alejandra Cechich, Maximiliano Arias, Matias Pol'la, Maria del Socorro Doldan, Enrique Morsan