Aiswarya Raj Munappy

Doctoral Student at Testing, Requirements, Innovation and Psychology
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Showing 9 publications

2021

On the Trade-off Between Robustness and Complexity in Data Pipelines

Aiswarya Raj Munappy, Jan Bosch, Helena Holmström Olsson
International Conference on the Quality of Information and Communications Technology. Vol. 1439, p. 401-415
Paper in proceeding
2020

Towards automated detection of data pipeline faults

Aiswarya Raj Munappy, Jan Bosch, Helena Holmström Olsson et al
Proceedings - Asia-Pacific Software Engineering Conference, APSEC. Vol. 2020-December, p. 346-355
Paper in proceeding
2020

Large-scale machine learning systems in real-world industrial settings: A review of challenges and solutions

Lucy Lwakatare, Aiswarya Raj Munappy, Ivica Crnkovic et al
Information and Software Technology. Vol. 127
Journal article
2020

From Ad-Hoc Data Analytics to DataOps

Aiswarya Raj Munappy, David Issa Mattos, Jan Bosch et al
Proceedings of the International Conference on Software and System Processes, p. 165-174
Paper in proceeding
2020

Modelling Data Pipelines

Aiswarya Raj Munappy, Jan Bosch, Helena Holmström Olsson et al
2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), p. 13-20
Paper in proceeding
2020

Data Pipeline Management in Practice: Challenges and Opportunities

Aiswarya Raj Munappy, Jan Bosch, Helena Holmström Olsson
Lecture Notes in Computer Science. Vol. 12562, p. 168-184
Paper in proceeding
2019

Data Management Challenges for Deep Learning

Aiswarya Raj Munappy, Jan Bosch, Helena Holmström Olsson et al
Proceedings - 45th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2019, p. 140-147
Paper in proceeding
2019

A taxonomy of software engineering challenges for machine learning systems: An empirical investigation

Lucy Lwakatare, Aiswarya Raj Munappy, Jan Bosch et al
Lecture Notes in Business Information Processing. Vol. 355, p. 227-243
Paper in proceeding

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