This program is tentative and subject to change.

Thu 18 Jul 2024 16:36 - 16:54 at Baobá 6 - AI4SE 3

Quantum Extreme Learning Machine (QELM) is an emerging technique that utilizes quantum dynamics and an easy-training strategy to solve problems such as classification and regression efficiently. Although QELM has many potential benefits, its real-world applications remain limited. To this end, we present QELM’s industrial application in the context of elevators, by proposing an approach called QUELL. In QUELL, we use QELM for the waiting time prediction related to the scheduling software of elevators, with applications for software regression testing, elevator digital twins, and real-time performance prediction. The scheduling software has been implemented by our industrial partner Orona, a globally recognized leader in elevator technology. We demonstrate that QUELL can efficiently predict waiting times, with prediction quality significantly better than that of classical ML models employed in a state-of-the-practice approach. Moreover, we show that the prediction quality of QUELL does not degrade when using fewer features. Based on our industrial application, we further provide insights into using QELM in other applications in Orona, and discuss how QELM could be applied to other industrial applications.

This program is tentative and subject to change.

Thu 18 Jul

Displayed time zone: Brasilia, Distrito Federal, Brazil change

16:00 - 18:00
16:00
18m
Talk
Rethinking Software Engineering in the Era of Foundation Models
Industry Papers
Ahmed E. Hassan Queen’s University, Dayi Lin Centre for Software Excellence, Huawei Canada, Gopi Krishnan Rajbahadur Centre for Software Excellence, Huawei, Canada, Keheliya Gallaba Centre for Software Excellence, Huawei Canada, Filipe Cogo Centre for Software Excellence, Huawei Canada, Boyuan Chen Centre for Software Excellence, Huawei Canada, Haoxiang Zhang Huawei, Kishanthan Thangarajah Centre for Software Excellence, Huawei Canada, Gustavo Oliva Centre for Software Excellence, Huawei Canada, Jiahuei (Justina) Lin Centre for Software Excellence, Huawei Canada, Wali Mohammad Abdullah Centre for Software Excellence, Huawei Canada, Zhen Ming (Jack) Jiang York University
16:18
18m
Talk
LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents
Industry Papers
Shizhuo Zhang University of Illinois Urbana-Champaign, Xuchao Zhang Microsoft, Chetan Bansal Microsoft Research, Pedro Las-Casas Microsoft, Rodrigo Fonseca Microsoft Research, Saravan Rajmohan Microsoft
16:36
18m
Talk
Application of Quantum Extreme Learning Machines for QoS Prediction of Elevators' Software in an Industrial Context
Industry Papers
Xinyi Wang Simula Research Laboratory and University of Oslo, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University, Aitor Arrieta Mondragon University, Paolo Arcaini National Institute of Informatics , Maite Arratibel Orona
16:54
18m
Talk
X-lifecycle Learning for Cloud Incident Management using LLMs
Industry Papers
Drishti Goel Microsoft, Fiza Husain Microsoft, Aditya Kumar Singh Microsoft, Supriyo Ghosh Microsoft, Anjaly Parayil Microsoft, Chetan Bansal Microsoft Research, Xuchao Zhang Microsoft, Saravan Rajmohan Microsoft
17:12
18m
Talk
Neat: Mobile App Layout Similarity Comparison based on Graph Convolutional Networks
Industry Papers
Zhu Tao ByteDance, Yongqiang Gao ByteDance, Jiayi Qi ByteDance, Chao Peng ByteDance, China, Qinyun Wu Bytedance Ltd., Xiang Chen ByteDance, Ping Yang Bytedance Network Technology
17:30
18m
Talk
Transformers and Meta-Tokenization in Sentiment Analysis for Software Engineering
Journal First
Nathan Cassee Eindhoven University of Technology, Andrei Agaronian Eindhoven University of Technology, Eleni Constantinou University of Cyprus, Nicole Novielli University of Bari, Alexander Serebrenik Eindhoven University of Technology
17:48
9m
Talk
EM-Assist: Safe automated ExtractMethod refactoring with LLMs
Demonstrations
Dorin Pomian University of Colorado Boulder, Abhiram Bellur University of Colorado Boulder, Malinda Dilhara University of Colorado Boulder, Zarina Kurbatova JetBrains Research, Egor Bogomolov JetBrains Research, Andrey Sokolov JetBrains Research, Timofey Bryksin JetBrains Research, Danny Dig University of Colorado Boulder, JetBrains Research
Pre-print