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Published Date

Publication

Beyond Notations: Hygienic Macro Expansion for Theorem Proving Languages

Sebastian Ullrich, Leonardo de Moura

2022 International Joint Conference on Automated Reasoning | April 2022

Project

Event

Microsoft at CGO 2022

April 2, 2022 – April 6, 2022 | Seoul, South Korea

Microsoft is proud to be a sponsor of International Symposium on Code Generation and Optimization (CGO 2022). See more details on our contributions below. Program Committee Bettina Heim, Madan Musuvathi Steering Committee Carol Eidt, Aaron…

Publication

UniParser: A Unified Log Parser for Heterogeneous Log Data

Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

TheWebConf 2022 | April 2022

Project Project

Publication

Linear Types for Large-Scale Systems Verification

Jialin Li, Andrea Lattuada, Yi Zhou, Jonathan Cameron, Jon Howell, Bryan Parno, Chris Hawblitzel

OOPSLA (in Proceedings of the ACM on Programming Languages) | April 2022

Distinguished Paper Award

Publication

SoftNER: Mining knowledge graphs from Cloud Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan

Empirical Software Engineering | April 2022, Vol 27(4)

Publication

Netherite: Efficient Execution of Serverless Workflows

Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu

VLDB 2022 | April 2022

Publication

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

WWW’22 Companion | April 2022

Publication

Learning to Complete Code with Sketches

Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltos Allamanis

ICLR 2022 | April 2022

Project Project

Microsoft Research Blog

Jigsaw fixes bugs in machine-written software

March 31, 2022 | Rahul Sharma, Suresh Parthasarathy, Sriram Rajamani, Nagarajan Natarajan, Arun Iyer

Large pre-trained language models such as GPT-3, Codex, and others can be tuned to generate code from natural language specifications of programmer intent. Such automated models have the potential to improve productivity for every programmer…

A flowchart showing inputs pre-processed before being fed into large language models including GPT-3, Codex, and others. The post-process output is returned to the end-user for verification. If they find the output incorrect, it is edited by them, and the learning is fed back into the pre-process and post-process mechanisms to improve them further.

Project

AI for Testing

AI-driven test case generation for Visual Studio and VSCode This project aims at developing AI-based systems with the goal of automating software testing activities. We train large transformer models to learn from developers’ code how…

Programming languages and software engineering

Highlights