Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews (ASE 2023 - Journal-first Papers) - ASE 2023

Mon 11 - Fri 15 September 2023 Kirchberg, Luxembourg

Who

Mohammad Abdul Hadi, Fatemeh Hendijani Fard

Track

ASE 2023 Journal-first Papers

Time Zone

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When

Tue 12 Sep 2023 16:18 - 16:30 at Room C - Testing AI Systems 3 Chair(s): Mike Papadakis

Abstract

https://doi.org/10.1007/s10664-023-10314-x

File attachments

Presentation (EMSE-App reviews.pptx)	2.61MiB
Paper pre-print (Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering.pdf)	57KiB

Mohammad Abdul Hadi

University of British Columbia

Canada

Fatemeh Hendijani Fard

University of British Columbia

Canada

Time Zone

The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna.

Use conference time zone: (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, ViennaSelect other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

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Session Program

Tue 12 Sep
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

	15:30 - 17:00	Testing AI Systems 3Journal-first Papers / Research Papers / Industry Showcase (Papers) / NIER Track at Room C Chair(s): Mike Papadakis University of Luxembourg, Luxembourg

	15:30 12m Research paper		Causality-Aided Trade-off Analysis for Machine Learning Fairness Research Papers Zhenlan Ji The Hong Kong University of Science and Technology, Pingchuan Ma HKUST, Shuai Wang Hong Kong University of Science and Technology, Yanhui Li Nanjing University Pre-print
	15:42 12m Talk		Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching NIER Track Shubham Kulkarni IIIT Hyderabad, Arya Marda IIIT Hyderabad, Karthik Vaidhyanathan IIIT Hyderabad Pre-print
	15:54 12m Talk		Challenges of Accurate and Efficient AutoML Industry Showcase (Papers) Swarnava Dey TCS Research, Avik Ghose TCS Research, Soumik Das Tata Consultancy Services Ltd. File Attached
	16:06 12m Talk		Cell2Doc: ML Pipeline for Generating Documentation in Computational Notebooks Research Papers Tamal Mondal IIT Hyderabad, Scott Barnett Deakin University, Akash Lal Microsoft Research, Jyothi Vedurada IIT Hyderabad Pre-print Media Attached
	16:18 12m Talk		Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews Journal-first Papers Mohammad Abdul Hadi University of British Columbia, Fatemeh Hendijani Fard University of British Columbia File Attached
	16:30 12m Talk		Evolve the Model universe of a System UniverseRecorded talk NIER Track Tao Yue Beihang University, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University Media Attached