A preprint of our ICSE ’21 paper on studying refactoring and technical debt in Machine Learning systems is now available.
- Paper on actor mutation testing accepted at ESE/FSE ’23
- Program Committee (PC) member for ESEC/FSE ’23 demonstrations
- Program Committee (PC) member for ICSME ’23 doctoral symposium
- Former Ph.D. student Yiming Tang accepts tenure-track Assistant Professor position at RIT
- Invited to GPCE ’23 PC
- Reviewer for Japan Society for the Promotion of Science (JSPS) 2023 BRIDGE Fellowship
- 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
2021 2022 acm aspect-oriented programming automated refactoring automatic parallelization award computer science conference cuny default methods eclipse empirical software engineering empirical study esec/fse grant grants 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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Preprint of ICSE ’21 ML systems study paper now available
By Raffi Khatchadourian in Preprints on .
Tags: empirical study, icse, icse2021, machine learning, preprint, refactoring, tech, technical debt