• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 89 matches

• 2024
• 
  Fatemeh Hadadi, Joshua Heneage Dawes, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
  Systematic Evaluation of Deep Learning Models for Log-based Failure Prediction. Empir. Softw. Eng. 29(5): 105 (2024)
• 
  Zanis Ali Khan, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
  Impact of log parsing on deep learning-based anomaly detection. Empir. Softw. Eng. 29(6): 139 (2024)
• 
  Young Min Baek, Esther Cho, Donghwan Shin, Doo-Hwan Bae:
  An Extensible Modeling Method Supporting Ontology-Based Scenario Specification and Domain-Specific Extension. Int. J. Softw. Eng. Knowl. Eng. 34(1): 91-162 (2024)
• 
  Yong-Jun Shin, Donghwan Shin, Doo-Hwan Bae:
  Virtual Environment Model Generation for CPS Goal Verification using Imitation Learning. ACM Trans. Embed. Comput. Syst. 23(1): 13:1-13:29 (2024)
• 
  Donato Clun, Donghwan Shin, Antonio Filieri, Domenico Bianculli:
  Rigorous Assessment of Model Inference Accuracy using Language Cardinality. ACM Trans. Softw. Eng. Methodol. 33(4): 95:1-95:39 (2024)
• 
  Ziyu Li, Donghwan Shin:
  Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs. CAIN 2024: 150-159
• 
  Marcello Ceci, Nicolas Sannier, Sallam Abualhaija, Donghwan Shin, Domenico Bianculli, Michael Halling:
  Toward Automated Compliance Checking of Fund Activities Using Runtime Verification Techniques. FinanSE@ICSE 2024: 19-20
• 
  Ziyu Li, Donghwan Shin:
  Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs. CoRR abs/2401.05940 (2024)
• 
  Wenyu Liang, Pablo R. Baldivieso, Ross Drummond, Donghwan Shin:
  Tuning the feedback controller gains is a simple way to improve autonomous driving performance. CoRR abs/2402.05064 (2024)
• 2023
• 
  Donghwa Kim, Myung Kil Ahn, Seongkee Lee, Donghwan Lee, Moosung Park, Dongkyoo Shin:
  Improved Cyber Defense Modeling Framework for Modeling and Simulating the Lifecycle of Cyber Defense Activities. IEEE Access 11: 114187-114200 (2023)
• 
  Matteo Biagiola, Nicolás Cardozo, Donghwan Shin, Foutse Khomh, Andrea Stocco, Vincenzo Riccio:
  Summary of the Fourth International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest 2023). ACM SIGSOFT Softw. Eng. Notes 48(4): 39-40 (2023)
• 
  Sepehr Sharifi, Donghwan Shin, Lionel C. Briand, Nathan Aschbacher:
  Identifying the Hazard Boundary of ML-Enabled Autonomous Systems Using Cooperative Coevolutionary Search. IEEE Trans. Software Eng. 49(12): 5120-5138 (2023)
• 
  Joshua Heneage Dawes, Donghwan Shin, Domenico Bianculli:
  Towards Log Slicing. FASE 2023: 249-259
• 
  Fitash Ul Haq, Donghwan Shin, Lionel C. Briand:
  Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems. ICSE 2023: 1814-1826
• 
  Sepehr Sharifi, Donghwan Shin, Lionel C. Briand, Nathan Aschbacher:
  Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search. CoRR abs/2301.13807 (2023)
• 
  Fatemeh Hadadi, Joshua Heneage Dawes, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
  Systematic Evaluation of Deep Learning Models for Failure Prediction. CoRR abs/2303.07230 (2023)
• 
  Zanis Ali Khan, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
  Impact of Log Parsing on Log-based Anomaly Detection. CoRR abs/2305.15897 (2023)
• 2022
• 
  Kookjin Kim, Sukjoon Yoon, Donghwan Lee, Jisoo Jang, Haengrok Oh, Dongkyoo Shin:
  Study on Prioritization of Actions by Classifying and Quantifying Cyber Operational Elements Using 5W1H Method. IEEE Access 10: 74765-74778 (2022)
• 
  Fitash Ul Haq, Donghwan Shin, Shiva Nejati, Lionel C. Briand:
  Correction to: Can Offline Testing of Deep Neural Networks Replace Their Online Testing? Empir. Softw. Eng. 27(6): 141 (2022)
• 
  Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
  PRINS: scalable model inference for component-based system logs. Empir. Softw. Eng. 27(4): 87 (2022)
• 
  Doyeon Han, Moonyoung Park, Junsuk Choi, Heonseop Shin, Donghwan Kim, Sungsoo Rhim:
  Assessment of Pain Onset and Maximum Bearable Pain Thresholds in Physical Contact Situations. Sensors 22(8): 2996 (2022)
• 
  Fitash Ul Haq, Donghwan Shin, Lionel C. Briand:
  Efficient Online Testing for DNN-Enabled Systems using Surrogate-Assisted and Many-Objective Optimization. ICSE 2022: 811-822
• 
  Zanis Ali Khan, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
  Guidelines for Assessing the Accuracy of Log Message Template Identification Techniques. ICSE 2022: 1095-1106
• 
  Zanis Ali Khan, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
  Replication package for "Guidelines for Assessing the Accuracy of Log Message Template Identification Techniques". Zenodo, 2022 
• 
  Yong-Jun Shin, Donghwan Shin, Doo-Hwan Bae:
  Environment Imitation: Data-Driven Environment Model Generation Using Imitation Learning for Efficient CPS Goal Verification. CoRR abs/2204.06799 (2022)
• 
  Young Min Baek, Esther Cho, Donghwan Shin, Doo-Hwan Bae:
  Literature Review to Collect Conceptual Variables of Scenario Methods for Establishing a Conceptual Scenario Framework. CoRR abs/2205.08290 (2022)
• 
  Fitash Ul Haq, Donghwan Shin, Lionel C. Briand:
  Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems. CoRR abs/2210.15432 (2022)
• 
  Donato Clun, Donghwan Shin, Antonio Filieri, Domenico Bianculli:
  Rigorous Assessment of Model Inference Accuracy using Language Cardinality. CoRR abs/2211.16587 (2022)
• 2021
• 
  Jaeil Lee, Yongjoon Lee, Donghwan Lee, Hyukjin Kwon, Dongkyoo Shin:
  Classification of Attack Types and Analysis of Attack Methods for Profiling Phishing Mail Attack Groups. IEEE Access 9: 80866-80872 (2021)
• 
  Fitash Ul Haq, Donghwan Shin, Shiva Nejati, Lionel Claude Briand:
  Can Offline Testing of Deep Neural Networks Replace Their Online Testing? Empir. Softw. Eng. 26(5): 90 (2021)

skipping 59 more matches