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Date de publication

Projet

NBLyzer: A static analysis framework for data science notebooks

A static analysis framework for data science notebooks Notebooks provide an interactive environment for programmers to develop code, analyse data and inject interleaved visualisations in a single environment. Despite their flexibility, a major pitfall that…

Publication

LOGIC: Log Intelligence in Cloud

Lingling Zheng, Xu Zhang, Ze Li, Cong Chen, Shilin He, Liqun Li, Yu Kang, Yudong Liu, Qingwei Lin 林庆维, Yingnong Dang

MLSys Cloud Intelligence Workshop | June 2022

Publication

Infer#’s journey to bring Infer to the .NET world

Xin Shi, Xiaoyu Liu, Matthew Jin, Neel Sundaresan

PLDI 2022 | June 2022

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Data Science Through the Looking Glass

Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos

SIGMOD Record | June 2022, Vol 51(2): pp. 30-37

Publication

Hardening Attack Surfaces with Formally Proven Binary Format Parsers

Nikhil Swamy, Tahina Ramananandro, Aseem Rastogi, Irina Spiridonova, Haobin Ni, Dmitry Malloy, Juan Vazquez, Michael Tang, Omar Cardona, Arti Gupta

Programming Language Design and Implementation | June 2022

Projet

Publication

Walk a Mile in Their Shoes: The Covid pandemic through the lens of four tech workers

Jenna Butler, Catherine Yeh

ACM Queue | May 2022, Vol 20(2)

Projet

Next Generation of Developer Communities

Microsoft is home to the world’s largest developer communities and ecosystems with Azure, GitHub, and Visual Studio. Having sustainable and inclusive communities has the potential to transform society by enabling more people to develop software.…

Publication

Towards Learning (Dis)-Similarity of Source Code from Program Contrasts

Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty

60th Annual Meeting of the Association for Computational Linguistics | May 2022

Publication

Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers

Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan

2022 IEEE/ACM International Conference on Automation of Software Test (AST) | May 2022

Projet

Publication

Refty: Refinement Types for Valid Deep Learning Models

Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang

ICSE 2022 | May 2022

The 44th International Conference on Software Engineering

Projet