Home » Posts tagged 'automated refactoring'

Tag Archives: automated refactoring

Subscribe

Archives

Categories

Attribution-NonCommercial-ShareAlike 4.0 International

Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license.

Received three-year NSF research grant on combating technical debt in Machine Learning systems as PI

I am pleased to announce that I have received a three-year standard research grant from the National Science Foundation (NSF) Software & Hardware Foundations (SHF) program as principal investigator (PI) for a project entitled “Knowledge, Methodologies, and Tool-support for Combating Technical Debt in Machine Learning Systems.” The total grant amount is ~$600K.

(more…)

Slides for ASE ’23 NIER paper on imperative Deep Learning refactoring now available

Slides for our ASE ’23 NIER paper on our ongoing work towards automated refactoring of imperative Deep Learning programs to graph execution are now available. The talk will take place tomorrow at 1:54 pm CEST.

(more…)

Talk at NEPLS at Harvard University

I gave a talk at the New England Programming Languages and Systems (NEPLS) symposium at Harvard University earlier this month.

Talk at University of Tokyo

On August 18, I visited Professor Shigeru Chiba at the Core Software Group of the Dept. of Creative Informatics Graduate School of Information Science and Technology at The University of Tokyo. I gave a talk about preliminary research in automated refactoring of Deep Learning software.

(more…)

Received three-year NSF research grant on imperative Deep Learning program robustness and evolution as PI

I am pleased to announce that I, along with co-PI Anita Raja, have received a three-year standard research grant from the National Science Foundation (NSF) Software & Hardware Foundations (SHF) program as principal investigator (PI) for a project entitled “Practical Analyses and Safe Transformations for Imperative Deep Learning Programs.” The total grant amount is $600K.

The project will facilitate the robustness and automated evolution and maintenance of large, industrial Deep Learning (DL) software systems that use imperative style programming. More information may be found on NSF’s website; stay tuned for more details and funded research opportunities!

Slides for stream refactoring talk at Columbia University now available

Slides for my talk on Safe Automated Refactoring for Intelligent Parallelization of Java 8 Streams at Columbia University are now available.

Preprint now available for ICSE 2019 paper

A preprint for our ICSE 2019 paper entitled “Safe Automated Refactoring for Intelligent Parallelization of Java 8 Streams” is now available!

Best paper award at IEEE SCAM 2018

We are honored to receive a best paper award at the 2018 IEEE International Working Conference on Source Code Analysis and Transformation (SCAM ’18) for our paper entitled, “A Tool for Optimizing Java 8 Stream Software via Automated Refactoring” with Yiming Tang, Mehdi Beherdezeh, and Syed Ahmed. (more…)

Paper accepted at IEEE SCAM 2018

Our paper entitled, “A Tool for Optimizing Java 8 Stream Software via Automated Refactoring,” has been accepted in the Engineering Track of the 18th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2018), to be held in Madrid, Spain in September. An abstract of the paper is listed below: (more…)

Optimize Java 8 Streams Refactoring Tool Demonstration on YouTube