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Published Date

Project

Trusted AI-assisted Programming

Machine learning, in particular Large Language Models, has shown great promise at automating several aspects of programming and software development such as coding, testing, integration, static analysis, verification etc. in recent years. In this project,…

Publication

AutoTSG: Learning and Synthesis for Incident Troubleshooting

Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta

ESEC/FSE 2022 | November 2022

Publication

NatGen: Generative pre-training by “Naturalizing” source code

Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar Devanbu,, Baishakhi Ray

The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) | November 2022

Publication

An Empirical Study of Log Analysis at Microsoft

Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维

2022 Foundations of Software Engineering (FSE) | November 2022

Project Project

Video

Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)

November 4, 2022 | Hanuma Kodavalla, Phil Bernstein

Over the past few years, my team at Microsoft worked on evolving our very successful on-prem database product, SQL Server, to a Database Platform as a Service, SQL Azure, running in the cloud managing millions…