Donghwan Shin

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 45

Top Topics

Systematic Evaluation

Anomaly Detection

Top Venues

Empir. Softw. Eng.

Publications

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) (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) (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) (2024)
Ziyu Li, Donghwan Shin
Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs. CAIN (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) (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) (2024)
Fatemeh Hadadi, Joshua Heneage Dawes, Donghwan Shin, Domenico Bianculli, Lionel C. Briand
Systematic Evaluation of Deep Learning Models for Failure Prediction. CoRR (2023)
Joshua Heneage Dawes, Donghwan Shin, Domenico Bianculli
Towards Log Slicing. FASE (2023)
Fitash Ul Haq, Donghwan Shin, Lionel C. Briand
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems. ICSE (2023)
Sepehr Sharifi, Donghwan Shin, Lionel C. Briand, Nathan Aschbacher
Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search. CoRR (2023)
Zanis Ali Khan, Donghwan Shin, Domenico Bianculli, Lionel C. Briand
Impact of Log Parsing on Log-based Anomaly Detection. CoRR (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) (2023)
Zanis Ali Khan, Donghwan Shin, Domenico Bianculli, Lionel C. Briand
Guidelines for Assessing the Accuracy of Log Message Template Identification Techniques. ICSE (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) (2022)
Donghwan Shin, Domenico Bianculli, Lionel C. Briand
PRINS: scalable model inference for component-based system logs. Empir. Softw. Eng. 27 (4) (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)
Fitash Ul Haq, Donghwan Shin, Lionel C. Briand
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems. CoRR (2022)
Donato Clun, Donghwan Shin, Antonio Filieri, Domenico Bianculli
Rigorous Assessment of Model Inference Accuracy using Language Cardinality. CoRR (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 (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 (2022)
Salma Messaoudi, Donghwan Shin, Annibale Panichella, Domenico Bianculli, Lionel C. Briand
Log-based slicing for system-level test cases. ISSTA (2021)
Fitash Ul Haq, Donghwan Shin, Shiva Nejati, Lionel C. Briand
Can Offline Testing of Deep Neural Networks Replace Their Online Testing? CoRR (2021)
Markus Borg, Raja Ben Abdessalem, Shiva Nejati, François-Xavier Jegeden, Donghwan Shin
Digital Twins Are Not Monozygotic - Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators. ICST (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) (2021)
Donghwan Shin, Zanis Ali Khan, Domenico Bianculli, Lionel C. Briand
A Theoretical Framework for Understanding the Relationship Between Log Parsing and Anomaly Detection. RV (2021)
Fitash Ul Haq, Donghwan Shin, Lionel C. Briand, Thomas Stifter, Jun Wang
Automatic test suite generation for key-points detection DNNs using many-objective search (experience paper). ISSTA (2021)
Donghwan Shin, Domenico Bianculli, Lionel C. Briand
PRINS: Scalable Model Inference for Component-based System Logs. CoRR (2021)
Fitash Ul Haq, Donghwan Shin, Shiva Nejati, Lionel C. Briand
Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study. ICST (2020)
Donghwan Shin, Domenico Bianculli, Lionel C. Briand
Effective Removal of Operational Log Messages: an Application to Model Inference. CoRR (2020)
Markus Borg, Raja Ben Abdessalem, Shiva Nejati, François-Xavier Jegeden, Donghwan Shin
Digital Twins Are Not Monozygotic - Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators. CoRR (2020)
Fitash Ul Haq, Donghwan Shin, Lionel C. Briand, Thomas Stifter, Jun Wang
Automatic Test Suite Generation for Key-points Detection DNNs Using Many-Objective Search. CoRR (2020)
Donghwan Shin, Salma Messaoudi, Domenico Bianculli, Annibale Panichella, Lionel C. Briand, Raimondas Sasnauskas
Scalable Inference of System-level Models from Component Logs. CoRR (2019)
Donghwan Shin, Shin Yoo, Mike Papadakis, Doo-Hwan Bae
Empirical evaluation of mutation-based test case prioritization techniques. Softw. Test. Verification Reliab. 29 (1-2) (2019)
Fitash Ul Haq, Donghwan Shin, Shiva Nejati, Lionel C. Briand
Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study. CoRR (2019)
Donghwan Shin, Shin Yoo, Doo-Hwan Bae
A Theoretical and Empirical Study of Diversity-Aware Mutation Adequacy Criterion. IEEE Trans. Software Eng. 44 (10) (2018)
Mike Papadakis, Donghwan Shin, Shin Yoo, Doo-Hwan Bae
Are mutation scores correlated with real fault detection?: a large scale empirical study on the relationship between mutants and real faults. ICSE (2018)
Mingyu Jin, Donghwan Shin, Doo-Hwan Bae
: extended action-benefit-cost modeling with knowledge-based decision-making and interaction model for system of systems simulation. SAC (2018)
Wonkyung Yun, Donghwan Shin, Doo-Hwan Bae
Mutation Analysis for System of Systems Policy Testing. JSOS@ICSE (2017)
Donghwan Shin, Shin Yoo, Mike Papadakis, Doo-Hwan Bae
Empirical Evaluation of Mutation-based Test Prioritization Techniques. CoRR (2017)
Donghwan Shin, Shin Yoo, Doo-Hwan Bae
Diversity-Aware Mutation Adequacy Criterion for Improving Fault Detection Capability. ICST Workshops (2016)
Dongwon Seo, Donghwan Shin, Young Min Baek, Jiyoung Song, Wonkyung Yun, Junho Kim, Eunkyoung Jee, Doo-Hwan Bae
Modeling and verification for different types of system of systems using PRISM. SESoS@ICSE (2016)
Donghwan Shin, Eunkyoung Jee, Doo-Hwan Bae
Comprehensive analysis of FBD test coverage criteria using mutants. Softw. Syst. Model. 15 (3) (2016)
Donghwan Shin, Doo-Hwan Bae
A Theoretical Framework for Understanding Mutation-Based Testing Methods. ICST (2016)
Yoo Jin Lim, Gwangui Hong, Donghwan Shin, Eunkyoung Jee, Doo-Hwan Bae
A runtime verification framework for dynamically adaptive multi-agent systems. BigComp (2016)
Donghwan Shin, Doo-Hwan Bae
A Theoretical Framework for Understanding Mutation-Based Testing Methods. CoRR (2016)
Dongwon Seo, Donghwan Shin, Doo-Hwan Bae
Quality Based Software Project Staffing and Scheduling with Cost Bound. APSEC (2015)
Jihun Park, Dongwon Seo, Gwangui Hong, Donghwan Shin, Jimin Hwa, Doo-Hwan Bae
Human Resource Allocation in Software Project with Practical Considerations. Int. J. Softw. Eng. Knowl. Eng. 25 (1) (2015)
Yoo Jin Lim, Eunkyoung Jee, Donghwan Shin, Doo-Hwan Bae
Efficient Testing of Self-Adaptive Behaviors in Collective Adaptive Systems. COMPSAC (2015)
Dongwon Seo, Donghwan Shin, Doo-Hwan Bae
Quality Based Software Project Staffing and Scheduling with Budget and Deadline. QuASoQ/WAWSE/CMCE@APSEC (2015)
Jihun Park, Dongwon Seo, Gwangui Hong, Donghwan Shin, Jimin Hwa, Doo-Hwan Bae
Practical Human Resource Allocation in Software Projects Using Genetic Algorithm. SEKE (2014)
Eunkyoung Jee, Donghwan Shin, Sung Deok Cha, Jang-Soo Lee, Doo-Hwan Bae
Automated test case generation for FBD programs implementing reactor protection system software. Softw. Test. Verification Reliab. 24 (8) (2014)
Donghwan Shin, Eunkyoung Jee, Doo-Hwan Bae
Empirical Evaluation on FBD Model-Based Test Coverage Criteria Using Mutation Analysis. MoDELS (2012)