ICSE 2024 (series) / Posters /
How Does Pre-trained Language Model Perform on Deep Learning Framework Bug Prediction?
Thu 18 Apr 2024 15:30 - 16:00 at Open Space - Posters 4
Understanding and predicting bugs is crucial for developers seeking to enhance testing efficiency and mitigate issues in software releases. Bug reports, though semi-structured texts, contain a wealth of semantic information, rendering their comprehension a critical aspect of bug prediction. In light of the recent success of pre-trained language models (PLMs) in the domain of natural language processing, numerous studies have leveraged these models to grasp various forms of textual information. However, the capability of PLMs to understand bug reports remains uncertain. To tackle this challenge, we introduce \textit{KnowBug}, a framework with a bug report knowledge-enhanced PLM. In this framework, utilizing bug reports sourced from open-source deep learning frameworks as input, prompts are designed and the PLM is fine-tuned to evaluate \textit{KnowBug}’s ability to understand bug reports and predict bug types.
Thu 18 AprDisplayed time zone: Lisbon change
Thu 18 Apr
Displayed time zone: Lisbon change
15:30 - 16:00 | |||
15:30 30mPoster | Towards Data Augmentation for Supervised Code Translation Posters Binger Chen Technische Universität Berlin, Jacek golebiowski Amazon AWS, Ziawasch Abedjan Leibniz Universität Hannover | ||
15:30 30mPoster | GDPR indications in commits messages in GitHub repositories Posters | ||
15:30 30mPoster | Automatic Generation of Test Cases based on Bug Reports: a Feasibility Study with Large Language Models Posters Laura Plein University of Luxembourg, Wendkuuni Arzouma Marc Christian OUEDRAOGO University of Luxembourg, Jacques Klein University of Luxembourg, Tegawendé F. Bissyandé University of Luxembourg | ||
15:30 30mPoster | How Does Pre-trained Language Model Perform on Deep Learning Framework Bug Prediction? Posters Xiaoting Du Beijing University of Posts and Telecommunications, Chenglong Li Beihang University, Xiangyue Ma Beihang University, Zheng Zheng Beihang University | ||
15:30 30mPoster | xNose: A Test Smell Detector for C# Posters Partha Protim Paul Shahjalal University of Science & Technology, Md Tonoy Akanda Shahjalal University of Science & Technology, Mohammed Raihan Ullah Shahjalal University of Science & Technology, Dipto Mondal Shahjalal University of Science & Technology, Nazia Sultana Chowdhury Shahjalal University of Science & Technology, Fazle Mohammed Tawsif University of Southern California DOI Pre-print | ||
15:30 30mPoster | Data vs. Model Machine Learning Fairness Testing: An Empirical Study Posters Arumoy Shome Delft University of Technology, Luís Cruz Delft University of Technology, Arie van Deursen Delft University of Technology | ||
15:30 30mPoster | On the Effects of Program Slicing for Vulnerability Detection during Code Inspection: Extended Abstract Posters Aurora Papotti Vrije Universiteit Amsterdam, Fabio Massacci University of Trento; Vrije Universiteit Amsterdam, Katja Tuma Vrije Universiteit Amsterdam | ||
15:30 30mPoster | Multi-step Automated Generation of Parameter Docstrings in Python: An Exploratory Study Posters Vatsal Venkatkrishna Australian National University, Durga Shree Nagabushanam Australian National University, Emmanuel Iko-Ojo Simon Australian National University, Melina Vidoni Australian National University DOI Authorizer link | ||
15:30 30mPoster | Lightweight Semantic Conflict Detection with Static Analysis Posters Galileu Santos de Jesus Federal University of Pernambuco, Paulo Borba Federal University of Pernambuco, Rodrigo Bonifácio Computer Science Department - University of Brasília, Matheus Barbosa de Oliveira Federal University of Pernambuco | ||
15:30 30mPoster | Energy Consumption of Automated Program Repair Posters Matias Martinez Universitat Politècnica de Catalunya (UPC), Silverio Martínez-Fernández UPC-BarcelonaTech, Xavier Franch Universitat Politècnica de Catalunya | ||
15:30 30mPoster | ReviewRanker: A Semi-Supervised Learning Based Approach for Code Review Quality Estimation Posters Saifullah Mahbub United International University, Md. Easin Arafat Eötvös Loránd University, Chowdhury Rafeed Rahman National University of Singapore, Zannatul Ferdows United International University, Masum Hasan University of Rochester | ||
15:30 30mPoster | LogPrompt: Prompt Engineering Towards Zero-Shot and Interpretable Log Analysis Posters Yilun Liu Huawei co. LTD, Shimin Tao University of Science and Technology of China; Huawei co. LTD, Weibin Meng Huawei co. LTD, Feiyu Yao Huawei co. LTD, Xiaofeng Zhao Huawei co. LTD, Hao Yang Huawei co. LTD | ||
15:30 30mPoster | High-precision Online Log Parsing with Large Language Models Posters XiaoLei Chen Fudan University, Jie Shi Fudan University, ChenJ , Peng Wang Fudan University, Wei Wang Fudan University | ||
15:30 30mPoster | Multi-requirement Parametric Falsification Posters | ||