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Thu 13 Oct 2022 17:00 - 17:20 at Ballroom C East - Technical Session 29 - AI for SE II Chair(s): Tim Menzies

Many real-world online systems require the forecast of monitored time series metrics to detect and localize anomalies, schedule resources, and assist relevant staffs in decision making. Even though many time series forecasting techniques have been proposed, few of them can be directly applied in online systems due to their efficiency and lack of model sharing. To address the challenges, this paper presents TTSF-transformer, a transferable time series forecasting service using deep transformer model. TTSF-transformer normalizes multiple metric frequencies to ensure the model sharing across multi-source systems, employs a deep transformer model with Bayesian estimation to generate the predictive marginal distribution, and introduces transfer learning and incremental learning into the training process to ensure the long-term performance. We conduct experiments on real-world time series metrics from two different types of game business in Tencent. The results show that TTSF-transformer significantly outperforms other state-of-the-art methods and is suitable for wide deployment in large online systems.

Thu 13 Oct

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16:00 - 18:00
Technical Session 29 - AI for SE IIResearch Papers / Journal-first Papers at Ballroom C East
Chair(s): Tim Menzies North Carolina State University
16:00
20m
Research paper
Are Neural Bug Detectors Comparable to Software Developers on Variable Misuse Bugs?
Research Papers
Cedric Richter University of Oldenburg, Jan Haltermann University of Oldenburg, Marie-Christine Jakobs Technical University of Darmstadt, Felix Pauck Paderborn University, Germany, Stefan Schott Paderborn University, Heike Wehrheim University of Oldenburg
DOI Pre-print Media Attached File Attached
16:20
20m
Research paper
Learning Contract Invariants Using Reinforcement Learning
Research Papers
Junrui Liu University of California, Santa Barbara, Yanju Chen University of California at Santa Barbara, Bryan Tan Amazon Web Services, Işıl Dillig University of Texas at Austin, Yu Feng University of California at Santa Barbara
16:40
20m
Research paper
Compressing Pre-trained Models of Code into 3 MB
Research Papers
Jieke Shi Singapore Management University, Zhou Yang Singapore Management University, Bowen Xu School of Information Systems, Singapore Management University, Hong Jin Kang Singapore Management University, Singapore, David Lo Singapore Management University
DOI Pre-print Media Attached
17:00
20m
Research paper
A Transferable Time Series Forecasting Service using Deep Transformer model for Online SystemsVirtual
Research Papers
Tao Huang Tencent, Pengfei Chen Sun Yat-Sen University, Jingrun Zhang School of Data and Computer Science, Sun Yat-sen University, Ruipeng Li Tencent, Rui Wang Tencent
17:20
20m
Paper
The Weights can be Harmful: Pareto Search versus Weighted Search in Multi-Objective Search-Based Software EngineeringVirtual
Journal-first Papers
Tao Chen Loughborough University, Miqing Li University of Birmingham
Pre-print
17:40
20m
Research paper
Robust Learning of Deep Predictive Models from Noisy and Imbalanced Software Engineering DatasetsVirtual
Research Papers
Zhong Li Nanjing, Minxue Pan Nanjing University, Yu Pei Hong Kong Polytechnic University, Tian Zhang Nanjing University, Linzhang Wang Nanjing University, Xuandong Li Nanjing University