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!
- Alexi Turcotte from Northeastern visits CUNY
- Talk at NEPLS at Harvard University
- Reviewer for Empirical Software Engineering (EMSE)
- Program committee (PC) member for ICSE ’24
- Invited to serve on ISEC ’23 SRC Program Committee (PC)
- Talk at University of Tokyo
- Visiting Tokyo Tech
- Highlights of “Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study”
- NYU GSTEM students visit during the summer of 2022
- Fully-funded Ph.D. student position(s) in analysis and transformations of Deep Learning programs in New York City
2021 2022 acm aspect-oriented programming automated refactoring automatic parallelization award awards computer science conference cuny default methods eclipse empirical software engineering empirical study fellowship grant hunter college icse ieee java java 8 logging new paper new student new york city nsf office hours plugin poster preprint program committee member programming languages refactoring research reviewer slides software engineering splash streams summer research talk tool demonstrations travel workshop
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Tool demo paper on feature logging accepted at ICSE ’22
By Raffi Khatchadourian in Papers on .
Tags: icse, icse2022, logging, tool demonstrations
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