David Issa Mattos

Doktorand vid Software Engineering

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Publikationer (19)
Projekt (0)

Visar 19 publikationer

2020

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

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

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

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

Övrigt konferensbidrag

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

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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