Niranjana Deshpande

I am a data and applied scientist at Microsoft, where I analyze M365 Copilot usage patterns to drive product growth. I received my Ph.D. from Rochester Institute of Technology.

My dissertation research – Towards Algorithm Selection for Efficient Search-Based Software Engineering – centered on leveraging algorithm selection for software engineering tasks. The goal of my research was to enable practitioners in building and maintaining software systems more effectively, using specific optimization algorithms for different problem instances. My work combined empirical analysis of evolutionary algorithms on hard SE problems, training ML models to predict algorithm performance, and using those models to build computationally efficient and functionally correct software systems.

I’ve applied these techniques to service-oriented systems and automated API recommendations during library migration. Our paper on self-adaptive service-oriented systems using algorithm selection won the best paper award at IEEE ICWS 2021.

news

Jul 15, 2024	I’ve joined Microsoft as a Data and Applied Scientist, in Redmond.
Feb 02, 2024	Website revamp successful.
Nov 27, 2023	Our paper on evaluating multi-objective evolutionary algorithms for API migration was accepted to the Journal of Swarm and Evolutionary Computation.
Oct 04, 2023	I’m presenting my research at the Doctoral Symposium at ESEC/FSE in San Francisco this December.
Apr 15, 2023	I’ve accepted a data scientist internship in the Product Analytics and Data Science (PANDAS) team at Amazon Web Services in Seattle.
May 14, 2022	I’ve successfully defended my thesis proposal, and am looking forward to my internship in Seattle!

selected publications

ICWS

R-CASS: Using algorithm selection for self-adaptive service-oriented systems

Niranjana Deshpande , Naveen Sharma , Qi Yu , and 1 more author

In 2021 IEEE International Conference on Web Services (ICWS) , 2021

Bib

@inproceedings{deshpande2021r,
  title = {R-CASS: Using algorithm selection for self-adaptive service-oriented systems},
  author = {Deshpande, Niranjana and Sharma, Naveen and Yu, Qi and Krutz, Daniel E},
  booktitle = {2021 IEEE International Conference on Web Services (ICWS)},
  pages = {61--72},
  year = {2021},
  organization = {IEEE},
  doi = {10.1109/ICWS53863.2021.00021},
}

EvoApps

Search-based third-party library migration at the method-level

Niranjana Deshpande , Mohamed Wiem Mkaouer , Ali Ouni , and 1 more author

In International Conference on the Applications of Evolutionary Computation (Part of EvoStar) , 2022

Bib Code

@inproceedings{deshpande2022search,
  title = {Search-based third-party library migration at the method-level},
  author = {Deshpande, Niranjana and Mkaouer, Mohamed Wiem and Ouni, Ali and Sharma, Naveen},
  booktitle = {International Conference on the Applications of Evolutionary Computation (Part of EvoStar)},
  pages = {173--190},
  year = {2022},
  doi = {https://doi.org/10.1007/978-3-031-02462-7_12},
}

ICWS

Online Learning Using Incomplete Execution Data for Self-Adaptive Service-Oriented Systems

Niranjana Deshpande , Naveen Sharma , Qi Yu , and 1 more author

In 2022 IEEE International Conference on Web Services (ICWS) , 2022

Bib Code

@inproceedings{9885741,
  author = {Deshpande, Niranjana and Sharma, Naveen and Yu, Qi and Krutz, Daniel E.},
  booktitle = {2022 IEEE International Conference on Web Services (ICWS)},
  title = {Online Learning Using Incomplete Execution Data for Self-Adaptive Service-Oriented Systems},
  year = {2022},
  volume = {},
  number = {},
  pages = {296-301},
  doi = {10.1109/ICWS55610.2022.00051},
}

SEC

Third-party software library migration at the method-level using multi-objective evolutionary search

Niranjana Deshpande , Mohamed Wiem Mkaouer , Ali Ouni , and 1 more author

Swarm and Evolutionary Computation, 2024

Bib Code

@article{DESHPANDE2024101444,
  title = {Third-party software library migration at the method-level using multi-objective evolutionary search},
  journal = {Swarm and Evolutionary Computation},
  volume = {84},
  pages = {101444},
  year = {2024},
  issn = {2210-6502},
  doi = {https://doi.org/10.1016/j.swevo.2023.101444},
  url = {https://www.sciencedirect.com/science/article/pii/S221065022300216X},
  author = {Deshpande, Niranjana and Mkaouer, Mohamed Wiem and Ouni, Ali and Sharma, Naveen},
}