Home » Posts tagged 'empirical study'
Tag Archives: empirical study
Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license.
Highlights of “Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study”
In this blog post, we summarize, using code examples, our recent empirical study on challenges in migrating imperative Deep Learning programs to graph execution.
(more…)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!
Video of ICSE ’21 talk now available
A video of our ICSE 2021 talk on “An Empirical Study of Refactorings and Technical Debt in Machine Learning Systems” is now available!
Preprint of ICSE ’21 ML systems study paper now available
A preprint of our ICSE ’21 paper on studying refactoring and technical debt in Machine Learning systems is now available.
Paper on refactorings and technical debt in Machine Learning systems accepted at ICSE 2021
Our paper entitled, “An empirical study of refactorings and technical debt in Machine Learning systems,” has been accepted to the main technical research track at the 2021 International Conference on Software Engineering (ICSE)! Out of 602 papers, 138 were accepted, amounting to a 23% acceptance rate. Congrats to Yiming, Mehdi, Rhia, Ajani, and Anita, and thank you for all of your hard work!
Actor concurrency study paper accepted at OOPSLA 2020
I am excited to announce that our paper, entitled “Actor Concurrency Bugs: A Comprehensive Study on Symptoms, Root Causes, API Usages, and Differences,” was accepted at OOPSLA 2020! One hundred nine papers were approved out of 302 submissions, amounting to a 36% acceptance rate.
Received EAPLS best paper award at FASE 2020
We are honored to receive the 2020 European Association for Programming Languages and Systems (EAPLS) best paper award at the 2020 International Conference on Fundamental Approaches to Software Engineering (FASE ’20) for our paper entitled, “An Empirical Study on the Use and Misuse of Java 8 Streams” with Yiming Tang, Mehdi Beherdezeh, and Baishakhi Ray. (more…)
Preprint now available for FASE 2020 paper
A preprint of our FASE 2020 paper entitled, “An Empirical Study on the Use and Misuse of Java 8 Streams,” is now available.
Raw data for an Empirical Study on the Use and Misuse of Java 8 Streams
Raw data for our empirical study on the use and misuse of Java 8 streams is now available. See the project page for more details on the study.
Paper accepted at FASE 2020
Our paper on an empirical study of streaming APIs has been accepted to the International Conference on Fundamental Approaches to Software Engineering (FASE 2020)!
