David Issa Mattos

Doktorand vid Software Engineering
Image of David Issa Mattos

Visar 19 publikationer

2020

Data Labeling: An Empirical Investigation into Industrial Challenges and Mitigation Strategies Authors

Teodor Fredriksson, David Issa Mattos, Jan Bosch et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12562 LNCS, p. 202-216
Paper i proceeding
2020

Evaluating the Effects of Different Requirements Representations on Writing Test Cases

Francisco Gomes, Jennifer Horkoff, Richard Berntsson Svensson et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12045 LNCS, p. 257-274
Paper i proceeding
2020

Experimentation for Business-to-Business Mission-Critical Systems: A Case Study

David Issa Mattos, Anas Dakkak, Jan Bosch et al
ICSSP '20: International Conference on Software and System Processes. Vol. 26 June 2020, p. 95-104
Paper i proceeding
2020
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From Ad-Hoc Data Analytics to DataOps

Aiswarya Raj Munappy, David Issa Mattos, Jan Bosch et al
Proceedings of the International Conference on Software and System Processes, p. 165-174
Paper i proceeding
Visa projekt
2020

Automotive A/B testing: Challenges and Lessons Learned from Practice

David Issa Mattos, Jan Bosch, Helena Holmström Olsson et al
Euromicro Conference on Software Engineering and Advanced Applications (SEAA). Vol. August 2020, p. 101-109
Paper i proceeding
2020
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Engineering for a science-centric experimentation platform

Nikos Diamantopoulos, Jeffrey Wong, David Issa Mattos et al
Proceedings - International Conference on Software Engineering, p. 191-200
Paper i proceeding
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

Continuous Experimentation for Software Organizations with Low Control of Roadmap and a Large Distance to Users: An Exploratory Case Study

Robin Sveningson, David Issa Mattos, Jan Bosch
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11915, p. 528-544
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
Open Access icon

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
2017

Your system gets better every day you use it: Towards automated continuous experimentation

David Issa Mattos, Jan Bosch, Helena Holmström Olsson
43rd Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2017; Vienna; Austria; 30 August 2017 through 1 September 2017, p. 256-265
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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