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Jakub Stolfa
Jakub Stolfa
Verified email at vsb.cz
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DRIVES—EU blueprint project for the automotive sector—A literature review of drivers of change in automotive industry
J Stolfa, S Stolfa, C Baio, U Madaleno, P Dolejsi, F Brugnoli, R Messnarz
Journal of Software: Evolution and Process 32 (3), e2222, 2020
412020
Automotive Engineering Skills and Job Roles of the Future?
J Stolfa, S Stolfa, R Messnarz, O Veledar, D Ekert, G Macher, U Madaleno
European Conference on Software Process Improvement, 352-369, 2020
212020
Automotive Cybersecurity Engineering Job Roles and Best Practices–Developed for the EU Blueprint Project DRIVES
R Messnarz, G Macher, F Stahl, S Wachter, D Ekert, J Stolfa, S Stolfa
European Conference on Software Process Improvement, 499-510, 2020
192020
Automotive quality universities-AQUA alliance extension to higher education
J Stolfa, S Stolfa, A Riel, S Tichkiewitch, C Kreiner, R Messnarz, M Rodic, ...
European Conference on Software Process Improvement, 176-187, 2016
182016
An application of process mining to invoice verification process in sap
J Štolfa, M Kopka, S Štolfa, O Koběrský, V Snášel
Innovations in Bio-Inspired Computing and Applications, 61-74, 2014
152014
Highly Autonomous Vehicle (System) Design Patterns–Achieving Fail Operational and High Level of Safety and Security
R Messnarz, G Macher, J Stolfa, S Stolfa
European Conference on Software Process Improvement, 465-477, 2019
122019
Industry-academia cooperation to empower automotive engineering designers
A Riel, S Tichkiewitch, J Stolfa, S Stolfa, C Kreiner, R Messnarz, M Rodic
Procedia CIRP 50, 739-744, 2016
112016
Formalization of software process using intuitive mapping of UML activity diagram to CPN
J Czopik, MA Košinár, J Štolfa, S Štolfa
Proceedings of the Fifth International Conference on Innovations in Bio …, 2014
112014
Addition of static aspects to the intuitive mapping of UML activity diagram to CPN
J Czopik, MA Košinár, J Štolfa, S Štolfa
Afro-European Conference for Industrial Advancement, 77-86, 2015
102015
Methodology for estimating working time effort of the software project
J Štolfa, S Štolfa, O Koběrský, M Kopka, J Kožuszník, V Snášel
CEUR Workshop Proceedings, 25-37, 2012
82012
A Study of Electric Powertrain Engineering-Its Requirements and Stakeholders Perspectives
G Macher, E Brenner, R Messnarz, D Ekert, J Stolfa, S Stolfa, J Niemann, ...
European Conference on Software Process Improvement, 396-407, 2020
72020
Comparison of fuzzy rules and SVM approach to the value estimation of the use case parameters
J Štolfa, O Koběrský, P Krömer, S Štolfa, M Kopka, V Snášel
2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 789-794, 2013
72013
Value estimation of the use case parameters using SOM and fuzzy rules
J Štolfa, O Koběrský, M Kopka, P Krömer, S Štolfa, J Kožusznik, V Snášel
Proceedings of the International Conference on Management of Emergent …, 2012
72012
Floreon–the system for an emergent flood prediction
J Martinovic, J Stolfa, J Kozusznik, J Unucka, I Vondrák
ECEC-FUBUTEC-EUROMEDIA, Porto, 2008
52008
Application of Process Mining in Intelligent Process Support
J Štolfa
Vysoká škola báňská-Technická univerzita Ostrava, 2018
42018
An Application of Neural Networ in Method for Use Case based Effort Estimation
R ŠTRBA, J ŠTOLFA, S ŠTOLFA, I VONDÁK, V SNÁŠEL
Frontiers in Artificial Intelligence and Applications 292, 231-248, 2017
42017
Finding an Optimal Configuration of the Feed-forward Neural Networ
R ŠTRBA, J ŠTOLFA, S ŠTOLFA
Frontiers in Artificial Intelligence and Applications 280, 199-206, 2016
42016
Introduction to integration of the process mining to the knowledge framework for software processes
J Stolfa, S Stolfa, MA Kosinar, V Snasel
Proceedings of the Second International Afro-European Conference for …, 2016
42016
Knowledge framework for clinical processes architecture and analysis
MA Košinár, J Czopik, J Štolfa, M Penhaker
2015 IEEE 13th International Symposium on Applied Machine Intelligence and …, 2015
42015
Intelligent software support of the SCRUM process
R Štrba, J Štolfa, S Štolfa, M Košinár
Frontiers in Artificial Intelligence and Applications 272, 408-416, 2014
42014
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