Mojdeh Golagha

According to our database1, Mojdeh Golagha authored at least 12 papers between 2016 and 2022.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Data-Driven Assessment of Parameterized Scenarios for Autonomous Vehicles.
Proceedings of the Computer Safety, Reliability, and Security, 2022

2020
A Framework for Failure Diagnosis.
PhD thesis, 2020

Can We Predict the Quality of Spectrum-based Fault Localization?
Proceedings of the 13th IEEE International Conference on Software Testing, 2020

How to Effectively Reduce Failure Analysis Time?
Proceedings of the Ernst Denert Award for Software Engineering 2020: Practice Meets Foundations, 2020

2019
Failure clustering without coverage.
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

2018
Machine learning-based run-time anomaly detection in software systems: An industrial evaluation.
Proceedings of the 2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation, 2018

Pairika: a failure diagnosis benchmark for C++ programs.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Aletheia: a failure diagnosis toolchain.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

2017
Challenges of Operationalizing Spectrum-Based Fault Localization from a Data-Centric Perspective.
Proceedings of the 2017 IEEE International Conference on Software Testing, 2017

A Framework for Failure Diagnosis.
Proceedings of the 2017 IEEE International Conference on Software Testing, 2017

Reducing Failure Analysis Time: An Industrial Evaluation.
Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice Track, 2017

2016
MalFlow: identification of C&C servers through host-based data flow profiling.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016


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