Shanto Rahman

Orcid: 0009-0004-3375-0227

According to our database1, Shanto Rahman authored at least 14 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Automatically Reproducing Timing-Dependent Flaky-Test Failures.
Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2024

Quantizing Large-Language Models for Predicting Flaky Tests.
Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2024

FlakeSync: Automatically Repairing Async Flaky Tests.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
Optimizing Continuous Development by Detecting and Preventing Unnecessary Content Generation.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

TSVD4J: Thread-Safety Violation Detection for Java.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2018
MCCT: a multi-channel complementary census transform for image classification.
Signal Image Video Process., 2018

A histogram specification technique for dark image enhancement using a local transformation method.
IPSJ Trans. Comput. Vis. Appl., 2018

2017
DTCTH: a discriminative local pattern descriptor for image classification.
EURASIP J. Image Video Process., 2017

A Statement Level Bug Localization Technique using Statement Dependency Graph.
Proceedings of the ENASE 2017, 2017

2016
Bilateral Histogram Equalization for Contrast Enhancement.
Int. J. Softw. Innov., 2016

An adaptive gamma correction for image enhancement.
EURASIP J. Image Video Process., 2016

Bilateral histogram equalization with pre-processing for contrast enhancement.
Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering, 2016

An Appropriate Method Ranking Approach for Localizing Bugs using Minimized Search Space.
Proceedings of the ENASE 2016, 2016

An Improved Method Level Bug Localization Approach Using Minimized Code Space.
Proceedings of the Evaluation of Novel Approaches to Software Engineering, 2016


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