Below is a complete list of my publications. I utilize the following notation to indicate the type of publication.

T = Thesis, FC = Full Conference paper (peer-reviewed), SC = Short Conference paper (peer-reviewed), J = Journal (peer-reviewed), NP = non peer-reviewed

You can also access my Google Scholar profile

2022

[J7] Ramos, E.M.S, Mattos, D.I. & Bergstad, C.J. Roundtrip, free-floating and peer-to-peer: A Bayesian behavioral analysis of carsharing. (In submission) preprint

[J6] Liu, Y., Mattos, D.I., Bosch, J., & Olsson, H.H., Lantz, J. (2022) Bayesian causal inference in automotive software engineering and online evaluation (In submission) preprint

[J5] Dakkak, A., Bosch, J., Olsson, H.H., Mattos, D.I., Continuous Deployment in Software-Intensive System-of-Systems. (In submission)

[SC2] Mattos, D.I., Liu, Y. (2022) On the Use of Causal Graphical Models for Designing Experiments in the Automotive Domain, To appear in the International Conference on Evaluation and Assessment in Software Engineering (EASE), 2022 preprint paper

[FC26] Fredriksson, T., Bosch, J., & Olsson, H. Mattos, D.I.. (2022) Machine Learning Algorithms for Labeling: Where and How They are Used?. In the IEEE Systems Conference paper

2021

[T4] Mattos, D.I. (2021) On Experimentation in Software Intensive Systems. Ph.D. Thesis, Computer Science and Engineering, Chalmers University of Technology, Sweden. Thesis available here.

[FC25] Zhang, H., Dakkak, A., Mattos, D.I., & Bosch, J., Olsson, H.H. (2021) Towards Federated Learning: A Case Study in the Telecommunication Domain. In the 12th International Conference on Software Business (ICSOB), 2021. paper

[FC24] Dakkak, A., Zhang, H., Mattos, D.I., & Bosch, J., Olsson, H.H. (2021) Towards Continuous Data Collection from In-service Products: Exploring the Relation Between Data Dimensions and Collection Challenges. In the 28th Asian-Pacific Software Engineering Conference (APSEC), 2021. paper

[FC23] Liu, Y., Mattos, D.I., Bosch, J., & Olsson, H.H., Lantz, J. (2021) Bayesian propensity score matching in automotive embedded software engineering. In the 28th Asian-Pacific Software Engineering Conference (APSEC), 2021. Best Paper Award. paper

[J4] Mattos, D.I., Ramos, E.M.S. (2021). Bayesian Paired-Comparison with the bpcs Package. Behavior and Research Methods preprint paper

[J3] Mattos, D.I., Dakkak, A., Bosch, J., & Olsson, H.H. The HURRIER Process for Experimentation in Business-to-Business Mission-Critical Systems. (2021) Journal of Software: Evolution and Process paper

[FC21] Dakkak, A., Mattos, D.I., & Bosch, J. Success Factors when Transitioning to Continuous Deployment in Software-Intensive Embedded Systems. To appear at the 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). paper

[FC20] Fredriksson, T., Mattos, D.I., Bosch, J., & Olsson, H. Assessing the Suitability of Semi-Supervised Learning Datasets with Item Response Theory. To appear at the 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). paper

[FC19] Liu, Y., Mattos, D.I., Bosch, J., & Olsson, H., Lantz, J. Size matters? Or not: A/B testing with limited sample in automotive embedded software. To appear at the 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). paper

[NP2] Mattos, D.I., Ruud, L. Bosch, J., & Olsson, H. (2021). On the Assessment of Benchmark Suites for Algorithm Comparison. arXiv preprint arXiv:2104.07381. preprint

[J2] Mattos, D.I., Bosch, J., & Olsson, H. (2021). Statistical Models for the Analysis of Optimization Algorithms with Benchmark Functions. IEEE Transactions on Evolutionary Computation preprint paper

[FC18] Fredriksson, T., Mattos, D.I,, Bosch, J., & Olsson, H. An Empirical Evaluation of Algorithms for Data Labeling. To appear at the 45th IEEE Computer Society Signature Conference on Computers, Software and Applications (COMPSAC), 2021. paper

[FC17] Dakkak, A., Mattos, D.I., & Bosch, J. Perceived benefits of Continuous Deployment in Software-Intensive Embedded Systems. To appear at the 45th IEEE Computer Society Signature Conference on Computers, Software and Applications (COMPSAC), 2021. paper

2020

[FC16] Fredriksson, T., Mattos, D., Bosch, J., & Olsson, H. (2020). Data Labeling: An Empirical Investigation into Industrial Challenges and Mitigation Strategies. In International Conference on Product-Focused Software Process Improvement (pp. 202–216). Paper

[FC15] Mattos, D., Bosch, J., Olsson, H., Korshani, A., & Lantz, J. (2020). Automotive A/B testing: Challenges and Lessons Learned from Practice. In 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) (pp. 101–109).Paper

[FC14] Diamantopoulos, N., Wong, J., Mattos, D., Gerostathopoulos, I., Wardrop, M., Mao, T., & McFarland, C. (2020). Engineering for a science-centric experimentation platform. In Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Practice (pp. 191–200) Paper.

[FC13] Oliveira Neto, F., Horkoff, J., Svensson, R., Mattos, D., & Knauss, A. (2020). Evaluating the Effects of Different Requirements Representations on Writing Test Cases. In International Working Conference on Requirements Engineering: Foundation for Software Quality (pp. 257–274). Paper

[FC12] Mattos, D., Dakkak, A., Bosch, J., & Olsson, H. (2020). Experimentation for Business-to-Business Mission-Critical Systems: A Case Study. In Proceedings of the International Conference on Software and System Processes (pp. 95–104). Paper

[FC11] Munappy, A., Mattos, D., Bosch, J., Olsson, H., & Dakkak, A. (2020). From Ad-Hoc Data Analytics to DataOps. In Proceedings of the International Conference on Software and System Processes (pp. 165–174). Paper

2019

[NP1] Gerostathopoulos, I., Konersmann, M., Krusche, S., Mattos, D., Bosch, J., Bures, T., Fitzgerald, B., Goedicke, M., Muccini, H., Olsson, H., & others (2019). Continuous Data-driven Software Engineering-Towards a Research Agenda: Report on the Joint 5th International Workshop on Rapid Continuous Software Engineering (RCoSE 2019) and 1st International Workshop ACM SIGSOFT Software Engineering Notes, 44(3), 60–64. Paper

[FC10] Sveningson, R., Mattos, D., & Bosch, J. (2019). Continuous Experimentation for Software Organizations with Low Control of Roadmap and a Large Distance to Users: An Exploratory Case Study. In International Conference on Product-Focused Software Process Improvement (pp. 528–544). Paper

[FC9] Mattos, D., Bosch, J., Olsson, H., Dakkak, A., & Bergh, K. (2019). Automated Optimization of Software Parameters in a Long Term Evolution Radio Base Station. In 2019 Annual IEEE Systems Conference (SysCon).Paper

[J1] Mattos, D., Bosch, J., & Olsson, H. (2019). Multi-armed bandits in the wild: pitfalls and strategies in online experimentsInformation and Software Technology, 113, 68–81. Paper

[FC8] Mattos, D., Bosch, J., & Olsson, H. (2019). ACE: Easy Deployment of Field Optimization Experiments. In European Conference on Software Architecture (pp. 264–279). , Paper

[SC1] Mattos, D., Bosch, J., & Olsson, H. (2019). Leveraging Business Transformation with Machine Learning Experiments. In International Conference on Software Business (pp. 183–191). Paper

2018

[FC7] Mattos, D., Bosch, J., & Olsson, H. (2018). Challenges and Strategies for Undertaking Continuous Experimentation to Embedded Systems: Industry and Research Perspectives. In 19th International Conference on Agile Software Development. Paper

[FC6] Mattos, D., Mårtensson, E., Bosch, J., & Olsson, H. (2018). Optimization experiments in the continuous space. In International Symposium on Search Based Software Engineering (pp. 293–308). Paper

[T3] Mattos, D. (2018). Towards Automated Experiments in Software Intensive Systems. (Licentiate Thesis, Chalmers University of Technology). Main supervisor: Jan Bosch. Co-supervisor: Helena Holmström Olsson Thesis

[FC5] Mattos, D., Dmitriev, P., Fabijan, A., Bosch, J., & Olsson, H. (2018). An activity and metric model for online controlled experiments. In International Conference on Product-Focused Software Process Improvement (pp. 182–198). Paper

2017

[FC4] Mattos, D., Bosch, J., & Olsson, H. (2017). Your system gets better every day you use it: towards automated continuous experimentation. In 2017 43rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA) (pp. 256–265). Paper

[FC3] Mattos, D., Bosch, J., & Olsson, H. (2017). More for less: automated experimentation in software-intensive systems. In International Conference on Product-Focused Software Process Improvement (pp. 146–161). Paper

2016

[FC2] Vianna, W., Rodrigues, L., Yoneyama, T., & Mattos, D. (2016). Troubleshooting optimization using multi-start simulated annealing. In 2016 Annual IEEE Systems Conference (SysCon). Paper

[FC1] Mattos, D., Santos, D., & Nascimento, C. (2016). Development of a low-cost autonomous surface vehicle using MOOS-IvP. In 2016 Annual IEEE Systems Conference (SysCon). Paper

[T2] Mattos, D. (2016). Autonomy Implementations for a Low-Cost Autonomous Surface Vehicle Using the MOOS-IvP software. (Master Thesis, Instituto Tecnológico de Aeronáutica, Brasil). Main supervisor: Cairo Lúcio Nascimento Jr. Co-supervisor: Douglas Soares do Santos Thesis

2014

[T1] Mattos, D. (2014). Implementação do software MOOS-IvP em um barco autônomo. (Bachelor Thesis, Instituto Tecnológico de Aeronáutica, Brasil). Main supervisor: Cairo Lúcio Nascimento Jr. Co-supervisor: Douglas Soares do Santos Thesis

Last update: 2021-04-16 00:00:00 +0000 UTC.