Artículos con órdenes de acceso público - Diego Elias CostaMás información
Disponibles en algún lugar: 10
What’s Wrong With My Benchmark Results? Studying Bad Practices in JMH Benchmarks
D Costa, CP Bezemer, P Leitner, A Andrzejak
IEEE Transactions on Software Engineering, 2019
Órdenes: Swedish Research Council
Dependency Smells in JavaScript Projects
AJ Jafari, DE Costa, R Abdalkareem, E Shihab, N Tsantalis
IEEE Transactions on Software Engineering, 2021
Órdenes: Natural Sciences and Engineering Research Council of Canada
A systematic differential analysis for fast and robust detection of software aging
R Matias, A Andrzejak, F Machida, D Elias, K Trivedi
2014 IEEE 33rd International Symposium on Reliable Distributed Systems, 311-320, 2014
Órdenes: German Research Foundation
A case study on the stability of performance tests for serverless applications
S Eismann, DE Costa, L Liao, CP Bezemer, W Shang, A van Hoorn, ...
Journal of Systems and Software 189, 111294, 2022
Órdenes: European Commission
Human Activity Recognition: A Comparative Study to Assess the Contribution Level of Accelerometer, ECG, and PPG Signals
MSA Arani, DE Costa, E Shihab
Sensors, 6997, 2021
Órdenes: Natural Sciences and Engineering Research Council of Canada
Enhancing Commit Graphs with Visual Runtime Clues
JPS Alcocer, HC Jaimes, D Costa, A Bergel, F Beck
Órdenes: German Research Foundation
On the Impact of Biceps Muscle Fatigue in Human Activity Recognition
M Elshafei, DE Costa, E Shihab
Sensors 21 (4), 1070, 2021
Órdenes: Natural Sciences and Engineering Research Council of Canada
Open source software: an approach to controlling usage and risk in application ecosystems
S Zajdel, DE Costa, H Mili
Proceedings of the 26th ACM International Systems and Software Product Line …, 2022
Órdenes: Natural Sciences and Engineering Research Council of Canada
Breaking Type-Safety in Go: An Empirical Study on the Usage of the unsafe Package
DE Costa, S Mujahid, R Abdalkareem, E Shihab
IEEE Transactions on Software Engineering, 2021
Órdenes: Natural Sciences and Engineering Research Council of Canada
Toward the Personalization of Biceps Fatigue Detection Model for Gym Activity: An Approach to Utilize Wearables’ Data from the Crowd
M Elshafei, DE Costa, E Shihab
Sensors 22 (4), 1454, 2022
Órdenes: Natural Sciences and Engineering Research Council of Canada
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