J
Jesus Gorronogoitia
Researcher at Atos
Publications - 12
Citations - 223
Jesus Gorronogoitia is an academic researcher from Atos. The author has contributed to research in topics: Cloud computing & Software development. The author has an hindex of 6, co-authored 12 publications receiving 201 citations.
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Proceedings ArticleDOI
Migrating Legacy Software to the Cloud with ARTIST
Alexander Bergmayr,Hugo Bruneliere,Javier Luis Cánovas Izquierdo,Jesus Gorronogoitia,George Kousiouris,Dimosthenis Kyriazis,Philip Langer,Andreas Menychtas,Leire Orue-Echevarria,C. Pezuela,Manuel Wimmer +10 more
TL;DR: ARTIST proposes a comprehensive software modernization approach covering business and technical aspects and employs Model-Driven Engineering techniques to automate the reverse engineering of legacy software and forward engineering of cloud-based software in a way that modernized software truly benefits from targeted cloud environments.
Proceedings ArticleDOI
ARTIST Methodology and Framework: A Novel Approach for the Migration of Legacy Software on the Cloud
Andreas Menychtas,Christina Santzaridou,George Kousiouris,Theodora Varvarigou,Leire Orue-Echevarria,Juncal Alonso,Jesus Gorronogoitia,Hugo Bruneliere,Oliver Strauss,Tatiana Senkova,Bram Pellens,Peter Stuer +11 more
TL;DR: A novel model-driven approach for the migration of legacy applications in modern cloud environments which covers all aspects and phases of the migration process, as well as an integrated framework that supports all migration process.
Journal ArticleDOI
The MegaM@Rt2 ECSEL project: MegaModelling at Runtime – Scalable model-based framework for continuous development and runtime validation of complex systems
Wasif Afzal,Hugo Bruneliere,Davide Di Ruscio,Andrey Sadovykh,Silvia Mazzini,Eric Cariou,Dragos Truscan,Jordi Cabot,Abel Gómez,Jesus Gorronogoitia,Luigi Pomante,Pavel Smrz +11 more
TL;DR: This paper presents an overview of the ECSEL 1 project entitled “MegaModelling at runtime – Scalable model-based framework for continuous development and runtime validation of complex systems” (MegaM@Rt2), whose aim is to address the above mentioned challenges facing MDE.
Proceedings ArticleDOI
Cloud modernization assessment framework: Analyzing the impact of a potential migration to Cloud
TL;DR: The solution proposed by the ARTIST project to assess companies which are considering the migration of their products to Cloud is presented, and estimations of the costs, ROI, efforts and migration tasks that this process could imply are provided.
Journal ArticleDOI
Software modernization and cloudification using the ARTIST migration methodology and framework
Andreas Menychtas,Kleopatra Konstanteli,Juncal Alonso,Leire Orue-Echevarria,Jesus Gorronogoitia,George Kousiouris,Christina Santzaridou,Hugo Bruneliere,Bram Pellens,Peter Stuer,Olivier Strauss,Tatiana Senkova,Theodora Varvarigou +12 more
TL;DR: This work presents a complete methodology and a methodology instantiation framework for the effective migration of legacy software to modern cloud environments.