Breno Dantas Cruz

Orcid: 0000-0002-0243-6591

According to our database1, Breno Dantas Cruz authored at least 18 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
An Effective Data-Driven Approach for Localizing Deep Learning Faults.
CoRR, 2023

Characterizing Bugs in Python and R Data Analytics Programs.
CoRR, 2023

Trusted and privacy-preserving sensor data onloading.
Comput. Commun., 2023

Design by Contract for Deep Learning APIs.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Secure and flexible message-based communication for mobile apps within and across devices.
J. Syst. Softw., 2022

An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models.
CoRR, 2022

DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Promoting Systematic Practices for Designing and Developing Edge Computing Applications via Middleware Abstractions and Performance Estimation.
PhD thesis, 2021

Here, There, Anywhere: Profiling-Driven Services to Tame the Heterogeneity of Edge Applications.
Proceedings of the IEEE International Conference on Smart Data Services, 2021

HTPD: Secure and Flexible Message-Based Communication for Mobile Apps.
Proceedings of the Security and Privacy in Communication Networks, 2021

Privacy-Preserving Sharing of Mobile Sensor Data.
Proceedings of the Mobile Computing, Applications, and Services, 2021

2020
Understanding the Potential of Edge-Based Participatory Sensing: an Experimental Study.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Stargazer: A Deep Learning Approach for Estimating the Performance of Edge- Based Clustering Applications.
Proceedings of the IEEE International Conference on Smart Data Services, 2020

2018
Intent to share: enhancing Android inter-component communication for distributed devices.
Proceedings of the 5th International Conference on Mobile Software Engineering and Systems, MOBILESoft@ICSE 2018, Gothenburg, Sweden, May 27, 2018

Programming support for data intensive distributed mobile applications at the edge.
Proceedings of the 5th International Conference on Mobile Software Engineering and Systems, MOBILESoft@ICSE 2018, Gothenburg, Sweden, May 27, 2018

2017
Detecting Vague Words & Phrases in Requirements Documents in a Multilingual Environment.
Proceedings of the 25th IEEE International Requirements Engineering Conference, 2017

2016
TraceLab Components for Reproducing Source Code Summarization Experiments.
Proceedings of the 2016 IEEE International Conference on Software Maintenance and Evolution, 2016


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