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Breno Dantas Cruz
Breno Dantas Cruz
Postdoctoral Research Associate at Iowa State University
Verified email at iastate.edu - Homepage
Title
Cited by
Cited by
Year
DeepDiagnosis: automatically diagnosing faults and recommending actionable fixes in deep learning programs
M Wardat, BD Cruz, W Le, H Rajan
Proceedings of the 44th international conference on software engineering …, 2022
322022
Detecting vague words & phrases in requirements documents in a multilingual environment
BD Cruz, B Jayaraman, A Dwarakanath, C McMillan
2017 IEEE 25th International requirements engineering conference (RE), 233-242, 2017
172017
Stargazer: A deep learning approach for estimating the performance of edge-based clustering applications
BD Cruz, AK Paul, Z Song, E Tilevich
2020 IEEE International Conference on Smart Data Services (SMDS), 9-17, 2020
72020
Decomposing a recurrent neural network into modules for enabling reusability and replacement
SM Imtiaz, F Batole, A Singh, R Pan, BD Cruz, H Rajan
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023
52023
Intent to share: enhancing Android inter-component communication for distributed devices
BD Cruz, E Tilevich
Proceedings of the 5th International Conference on Mobile Software …, 2018
52018
Understanding the Potential of Edge-Based Participatory Sensing: an Experimental Study
BD Cruz, J Cheng, Z Song, E Tilevich
2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 1-5, 2020
32020
Characterizing Bugs in Python and R Data Analytics Programs
S Ahmed, M Wardat, H Bagheri, BD Cruz, H Rajan
arXiv preprint arXiv:2306.08632, 2023
22023
Here, there, anywhere: Profiling-driven services to tame the heterogeneity of edge applications
M Pandey, BD Cruz, M Le, YW Kwon, E Tilevich
2021 IEEE International Conference on Smart Data Services (SMDS), 61-71, 2021
22021
HTPD: Secure and flexible message-based communication for mobile apps
Y Liu, BD Cruz, E Tilevich
Security and Privacy in Communication Networks: 17th EAI International …, 2021
22021
Design by Contract for Deep Learning APIs
S Ahmed, SM Imtiaz, SS Khairunnesa, BD Cruz, H Rajan
Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023
12023
An Effective Data-Driven Approach for Localizing Deep Learning Faults
M Wardat, BD Cruz, W Le, H Rajan
arXiv preprint arXiv:2307.08947, 2023
12023
An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models
R Pan, S Biswas, M Chakraborty, BD Cruz, H Rajan
arXiv preprint arXiv:2212.00105, 2022
12022
Secure and flexible message-based communication for mobile apps within and across devices
Y Liu, BD Cruz, E Tilevich
Journal of Systems and Software 193, 111460, 2022
12022
Privacy-preserving sharing of mobile sensor data
Y Liu, BD Cruz, E Tilevich
International Conference on Mobile Computing, Applications, and Services, 19-41, 2021
12021
Programming support for data intensive distributed mobile applications at the edge
BD Cruz
Proceedings of the 5th International Conference on Mobile Software …, 2018
12018
Tracelab components for reproducing source code summarization experiments
BD Cruz, PW McBurney, C McMillan
2016 IEEE International Conference on Software Maintenance and Evolution …, 2016
12016
Trusted and privacy-preserving sensor data onloading
Y Liu, BD Cruz, E Tilevich
Computer Communications 206, 133-151, 2023
2023
Promoting Systematic Practices for Designing and Developing Edge Computing Applications via Middleware Abstractions and Performance Estimation
B Dantas Cruz
Virginia Tech, 2021
2021
Um mapeamento sistemático de métricas para metodologias ágeis Scrum, Kanban e XP
BD Cruz
2013
Organizing Committee of MOBILESoft 2019
E Tilevich, D Poshyvanyk, I Malavolta, C Poellabauer, YW Kwon, ...
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