Foyzul Hassan

Orcid: 0000-0003-4543-282X

According to our database1, Foyzul Hassan authored at least 28 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Empirical Analysis on CI/CD Pipeline Evolution in Machine Learning Projects.
CoRR, 2024

2023
UniLoc: Unified Fault Localization of Continuous Integration Failures.
ACM Trans. Softw. Eng. Methodol., November, 2023

An Empirical Study of High Performance Computing (HPC) Performance Bugs.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Virtual Reality (VR) Automated Testing in the Wild: A Case Study on Unity-Based VR Applications.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022
An empirical study on ML DevOps adoption trends, efforts, and benefits analysis.
Inf. Softw. Technol., 2022

Analyzing Performance Issues of Virtual Reality Applications.
CoRR, 2022

Characterizing Virtual Reality Software Testing.
CoRR, 2022

DyTRec: A Dynamic Testing Recommendation tool for Unity-based Virtual Reality Software.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Characterizing the Usage of CI Tools in ML Projects.
Proceedings of the ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19, 2022

2021
Refactorings and Technical Debt in Docker Projects: An Empirical Study.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

How Developers Optimize Virtual Reality Applications: A Study of Optimization Commits in Open Source Unity Projects.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
Taming behavioral backward incompatibilities via cross-project testing and analysis.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

An Empirical Study of Software Exceptions in the Field using Search Logs.
Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

2019
Tackling Build Failures in Continuous Integration.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

2018
RUDSEA: recommending updates of Dockerfiles via software environment analysis.
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

HireBuild: an automatic approach to history-driven repair of build scripts.
Proceedings of the 40th International Conference on Software Engineering, 2018

2017
Mining readme files to support automatic building of Java projects in software repositories: poster.
Proceedings of the 39th International Conference on Software Engineering, 2017

Change-Aware Build Prediction Model for Stall Avoidance in Continuous Integration.
Proceedings of the 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2017

Automatic Building of Java Projects in Software Repositories: A Study on Feasibility and Challenges.
Proceedings of the 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2017

2011
Inhibition/Enhancement Network Based ASR using Multiple DPF Extractors.
J. Multim., 2011

MLN-based Bangla ASR using context sensitive triphone HMM.
Int. J. Speech Technol., 2011

Development of Analysis Rules for Bangla Part of Speech for Universal Networking Language.
Proceedings of the Eighth International Conference on Information Technology: New Generations, 2011

Phone Segmentation for Japanese Triphthong Using Neural Networks.
Proceedings of the Eighth International Conference on Information Technology: New Generations, 2011

Recurrent Neural Network Based Phoneme Recognition Incorporating Articulatory Dynamic Parameters.
Proceedings of the Advances in Computing and Communications, 2011

Local Feature or Mel Frequency Cepstral Coefficients - Which One Is Better for MLN-Based Bangla Speech Recognition?
Proceedings of the Advances in Computing and Communications, 2011

2010
DPF-based japanese phoneme recognition using tandem MLNs.
Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010

Bangla triphone HMM based word recognition.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2010

Effect of articulatory Δ and ΔΔ parameters on multilayer neural network based speech recognition.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2010


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