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Paper on refactoring imperative Deep Learning programs to graphs accepted at ASE ’23 NIER
Our paper entitled, “Towards Safe Automated Refactoring of Imperative Deep Learning Programs to Graph Execution” has been accepted to the New Ideas and Emerging Results (NIER) track at the IEEE/ACM 2023 International Conference on Automated Software Engineering (ASE)! Out of 70 papers, 25 were accepted, amounting to a 35.7% acceptance rate. The conference will take place later this year in Kirchberg, Luxembourg.
Congratulations to Tatiana, Mehdi, Nan, and Anita, and thank you for all of your hard work!
Paper on actor mutation testing accepted at ESE/FSE ’23
Our paper entitled, “μAkka: Mutation testing for actor concurrency in Akka using real-world bugs,” has been accepted without major revisions to the main technical research track at the 2023 ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)! Out of 473 submissions, 60 were accepted without major revisions, amounting to a 12.68% acceptance rate. The conference will take place later this year in San Francisco. Congratulations to all the authors, especially Mohsen, for your hard work!
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!
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!
Paper on feature log level rejuvenation accepted to Science of Computer Programming
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 recommended for publication in Science of Computer Programming. Congrats to Yiming, Allan, and Mehdi!
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.
Journal extension accepted to Science of Computer Programming with minor revisions
A journal extension of our ICSE ’19 paper entitled, “Safe Automated Refactoring for Intelligent Parallelization of Java 8 Streams,” has been accepted with minor revisions to the Science of Computer Programming journal.
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)!
Paper on big data developers accepted at ESEC/FSE 2019
Our new paper entitled, “Going Big: a Large-scale Study on What Big Data Developers Ask” has been accepted to the 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) 2019 technical track! Out of 303 submissions, 74 papers were accepted (an acceptance rate of 24.4%). The conference will be held in Tallinn, Estonia later this year.
