TraceLab Components for Reproducing Source Code Summarization Experiments. - Breno Dantas Cruz; Paul W. McBurney; Collin McMillan (ICSME, 2016)

Detecting Vague Words & Phrases in Requirements Documents in a Multilingual Environment. - Breno Dantas Cruz; Bargav Jayaraman; Anurag Dwarakanath; Collin McMillan (RE, 2017)

Programming support for data intensive distributed mobile applications at the edge. - Breno Dantas Cruz (MOBILESoft@ICSE, 2018)

Intent to share: enhancing Android inter-component communication for distributed devices. - Breno Dantas Cruz; Eli Tilevich (MOBILESoft@ICSE, 2018)

Stargazer: A Deep Learning Approach for Estimating the Performance of Edge- Based Clustering Applications. - Breno Dantas Cruz; Arnab Kumar Paul; Zheng Song 001; Eli Tilevich (SMDS, 2020)

Understanding the Potential of Edge-Based Participatory Sensing: an Experimental Study. - Breno Dantas Cruz; Junjie Cheng; Zheng Song 001; Eli Tilevich (VTC Spring, 2020)

Privacy-Preserving Sharing of Mobile Sensor Data. - Yin Liu; Breno Dantas Cruz; Eli Tilevich (MobiCASE, 2021)

HTPD: Secure and Flexible Message-Based Communication for Mobile Apps. - Yin Liu; Breno Dantas Cruz; Eli Tilevich (SecureComm (2), 2021)

Here, There, Anywhere: Profiling-Driven Services to Tame the Heterogeneity of Edge Applications. - Manish Pandey; Breno Dantas Cruz; Minh Le; Young-Woo Kwon 001; Eli Tilevich (SMDS, 2021)

Promoting Systematic Practices for Designing and Developing Edge Computing Applications via Middleware Abstractions and Performance Estimation. - Breno Dantas Cruz (2021)

DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs. - Mohammad Wardat; Breno Dantas Cruz; Wei Le; Hridesh Rajan (ICSE, 2022)

An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models. - Rangeet Pan; Sumon Biswas; Mohna Chakraborty; Breno Dantas Cruz; Hridesh Rajan (CoRR, 2022)

Secure and flexible message-based communication for mobile apps within and across devices. - Yin Liu; Breno Dantas Cruz; Eli Tilevich (J. Syst. Softw., 2022)

Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement. - Sayem Mohammad Imtiaz; Fraol Batole; Astha Singh; Rangeet Pan; Breno Dantas Cruz; Hridesh Rajan (ICSE, 2023)

Design by Contract for Deep Learning APIs. - Shibbir Ahmed; Sayem Mohammad Imtiaz; Syeda Khairunnesa Samantha; Breno Dantas Cruz; Hridesh Rajan (ESEC/SIGSOFT FSE, 2023)

Trusted and privacy-preserving sensor data onloading. - Yin Liu; Breno Dantas Cruz; Eli Tilevich (Comput. Commun., 2023)

Characterizing Bugs in Python and R Data Analytics Programs. - Shibbir Ahmed; Mohammad Wardat; Hamid Bagheri; Breno Dantas Cruz; Hridesh Rajan (CoRR, 2023)

An Effective Data-Driven Approach for Localizing Deep Learning Faults. - Mohammad Wardat; Breno Dantas Cruz; Wei Le; Hridesh Rajan (CoRR, 2023)