David Issa Mattos
Doktorand vid
Software Engineering for People, Architecture, Requirements and Traceability
Visar 11 publikationer
2019
Multi-armed bandits in the wild: Pitfalls and strategies in online experiments
David Issa Mattos, Jan Bosch, Helena Holmström Olsson
Information and Software Technology. Vol. 113 (September), p. 68-81
Artikel i vetenskaplig tidskrift
2019
Message from the RCoSE-DDrEE 2019 workshop organizers
Ilias Gerostathopoulos, Marco Konersmann, Stephan Krusche et al
Konferensbidrag (offentliggjort, men ej förlagsutgivet)
2019
ACE: Easy deployment of field optimization experiments
David Issa Mattos, Jan Bosch, Helena Holmström Olsson
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11681 LNCS, p. 264-279
Paper i proceeding
2019
Leveraging business transformation with machine learning experiments
David Issa Mattos, Jan Bosch, Helena Holmström Olsson
Lecture Notes in Business Information Processing. Vol. 370 LNBIP, p. 183-191
Paper i proceeding
2019
Automated optimization of software parameters in a long term evolution radio base station
David Issa Mattos, Jan Bosch, Helena Holmström Olsson et al
SysCon 2019 - 13th Annual IEEE International Systems Conference, Proceedings
Paper i proceeding
2018
An activity and metric model for online controlled experiments
David Issa Mattos, Pavel Dmitriev, A. Fabijan et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11271 LNCS, p. 182-198
Paper i proceeding
2018
Towards Automated Experiments in Software Intensive Systems
David Issa Mattos
Licentiatavhandling
2018
Challenges and strategies for undertaking continuous experimentation to embedded systems: Industry and research perspectives
David Issa Mattos, Jan Bosch, Helena Holmström Olsson
Lecture Notes in Business Information Processing. Vol. 314, p. 277-292
Paper i proceeding
2018
Optimization experiments in the continuous space: The limited growth optimistic optimization algorithm
David Issa Mattos, Erling Mårtensson, Jan Bosch et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11036 LNCS, p. 293-308
Paper i proceeding
2016
Development of a low-cost autonomous surface vehicle using MOOS-IvP
David Issa Mattos, Douglas Soares dos Santos, Cairo Lucio Nascimento Jr
IEEE Systems Conference (SysCon)
Paper i proceeding
2016
Troubleshooting Optimization Utilizing Multi-Start Simulated Annealing
Wlamir Olivares Loesch Vianna, Leonardo Ramos, Takashi Yoneyama et al
Annual IEEE Systems Conference (SysCon)
Paper i proceeding
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