Aiswarya Raj Munappy

Orcid: 0000-0002-1333-5825

Affiliations:
  • Chalmers University of Technology, Gothenburg, Sweden


According to our database1, Aiswarya Raj Munappy authored at least 11 papers between 2019 and 2022.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2022
Data management for production quality deep learning models: Challenges and solutions.
J. Syst. Softw., 2022

Customer Support In The Era of Continuous Deployment: A Software-Intensive Embedded Systems Case Study.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021
On the Trade-off Between Robustness and Complexity in Data Pipelines.
Proceedings of the Quality of Information and Communications Technology, 2021

On the Impact of ML use cases on Industrial Data Pipelines.
Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021

2020
Large-scale machine learning systems in real-world industrial settings: A review of challenges and solutions.
Inf. Softw. Technol., 2020

Data Pipeline Management in Practice: Challenges and Opportunities.
Proceedings of the Product-Focused Software Process Improvement, 2020

From Ad-Hoc Data Analytics to DataOps.
Proceedings of the ICSSP '20: International Conference on Software and System Processes, 2020

Modelling Data Pipelines.
Proceedings of the 46th Euromicro Conference on Software Engineering and Advanced Applications, 2020

Towards Automated Detection of Data Pipeline Faults.
Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2019
A Taxonomy of Software Engineering Challenges for Machine Learning Systems: An Empirical Investigation.
Proceedings of the Agile Processes in Software Engineering and Extreme Programming, 2019

Data Management Challenges for Deep Learning.
Proceedings of the 45th Euromicro Conference on Software Engineering and Advanced Applications, 2019


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