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Published Date

Microsoft Research Blog

PwR: Using representations for AI-powered software development

December 1, 2023 | Sameer Segal, Akash Lal

PwR uses domain-specific languages to bridge communication between developers and AI tools. Learn how it can help simplify code creation and enhance software reliability and customization, no matter your coding expertise.

Flowchart showing natural language is transformed into a program in domain specific language using an LLM. This step is called Intent formalization. The user is able to modify, repair and query. The Program in DSL is then converted into natural language representation that can be in text or visual formats. The Program in DSL is also separatedly converted into Code via the Code Generation pipeline. This step is called Robust Code Generation.

Publication

InferFix: End-to-End Program Repair with LLMs over Retrieval-Augmented Prompts

Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy

The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE ’23) | December 2023

Github

Publication

AdaptivePaste: Intelligent Copy-Paste in IDE

Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltos Allamanis, Alexey Svyatkovskiy

The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE ’23) | December 2023

Publication

Ranking LLM-Generated Loop Invariants for Program Verification

Saikat Chakraborty, Shuvendu Lahiri, Sarah Fakhoury, Madan Musuvathi, Akash Lal, Aseem Rastogi, Nikhil Swamy, Rahul Sharma

2023 Empirical Methods in Natural Language Processing | December 2023

EMNLP-Findings 2023

Github Project

Publication

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval

Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang

ICCV’23 | December 2023

Tool

InferredBugs

InferredBugs is a metadata-rich dataset of bugs and fixes in Java and C# programming languages, extracted using Infer (for Java) and InferSharp (for C#). The dataset has been constructed by systematically analyzing open-source repositories, scrutinizing…

GitHub Publication

Publication

STEAM: Observability-Preserving Trace Sampling

Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang

FSE’23 Industry | November 2023

Publication

Detection Is Better Than Cure: A Cloud Incidents Perspective

A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023

Publication

Grace: Language Models Meet Code Edits

Priyanshu Gupta, Avishree Khare, Yasharth Bajpai, Saikat Chakraborty, Sumit Gulwani, Aditya Kanade, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023

Publication

Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365

Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

FSE’23 Industry | November 2023

Programming languages and software engineering

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