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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!
“Migrating Imperative Deep Learning Programs to Graph Execution” guest lecture on YouTube
Thanks to Stevens Institute of Technology for posting my guest lecture on imperative Deep Learning program execution to YouTube!
Paper on hybridization challenges in imperative Deep Learning programs accepted at MSR ’22
Our paper entitled, “Challenges in migrating imperative Deep Learning programs to graph execution: An empirical study,” has been accepted to the main technical research track at the IEEE/ACM SIGSOFT 2022 International Conference on Mining Software Repositories (MSR)! Out of 138 papers, 45 were accepted, amounting to a 32.6% acceptance rate. The conference will take place later this year in Pittsburgh and is co-located with ICSE 2022.
A special congratulations to Tatiana for publishing her first full conference paper as first-author in the second year of her Ph.D. studies! Also congrats to Mehdi and Anita, and thank you for all of your hard work!
Slides for SANER ’22 talk now available
Slides for our SANER 2022 talk on “Automated Evolution of Feature Logging Statement Levels Using Git Histories and Degree of Interest” are now available!
Video of SANER ’22 talk now available
A video of our IEEE SANER 2022 journal-first track talk on “Automated Evolution of Feature Logging Statement Levels Using Git Histories and Degree of Interest” is now available!
Tool demo paper on feature logging accepted at ICSE ’22
Our paper entitled, “A tool for rejuvenating feature logging levels via Git histories and degree of interest,” has been accepted to the formal tool demonstration track at the 2022 International Conference on Software Engineering (ICSE)! Out of 98 papers, 49 were accepted, amounting to a 50% acceptance rate. Congrats to Yiming, Allan, and Mehdi!
Tatiana selected to 2022 CRA-WP Grad Cohort for Women
Congratulations to Tatiana for being selected to participate in the 2022 CRA-WP Grad Cohort for Women! The NSF-funded workshop, which “aims to increase the ranks of senior women in computing-related studies and research by building and mentoring nationwide communities of women through their graduate studies,” will take place later this year in New Orleans. More information can be found on the event page. Congrats, Tatiana!
Paper on feature log level rejuvenation to be presented at SANER ’22
I am pleased to announce that our journal paper, “Automated Evolution of Feature Logging Statement Levels Using Git Histories and Degree of Interest,” has been accepted to the journal-first track of the IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER ’22). The paper originally appeared in Science of Computer Programming and will now also be presented at the conference. SANER is a CORE A conference, and the 2022 edition is scheduled to be held next March in Honolulu, Hawaii. Congrats to Yiming, Allan, and Mehdi!
