ARISE Lab
Advancing Reliability, Safety & Security in Software Engineering
We study the principles of computing and the phenomena of software developments to understand when, where, why and how unreliable, insecure, or unsafe software is resulted and threatening in our society. We aim to resolve these problems by developing techniques, tools, methodologies and pedagogies that enhance the ability of developers in analyzing, testing, and debugging their software products.
News
6 Feb 2023 Kieun joined ARISE. Welcome!
9 Sep 2022 Recruiting New Graduate Students [Eng] [Kor]
7 Feb 2022 Suhyun and Sungbin join our lab
13 Dec 2021 YouTube videos of our research work
9 Oct 2021 Software Disaster Research Center is having an official opening event at 27 Oct
Shin Hong 홍신
Associate Professor, School of CSEE in Handong Global University
Ph.D in Computer Science, KAIST
hongshin@handong.edu, https://hongshin.github.io
313, Oseok Hall, Handong Global University
+82-54-260-1409
Jeewoong Kim 김지웅
Ph.D student (starts at Mar 2022)
jeewoong@handong.ac.kr / https://jeewoongkim.github.io
318, Oseok Hall, Handong Global University
Suhyun Park 박수현
Master's student (starts at Mar 2022)
suhyun@handong.ac.kr / https://coolgogi.github.io
318, Oseok Hall, Handong Global University
Sungbin Lim 임성빈
Master's student (starts at Mar 2022)
318, Oseok Hall, Handong Global University
Kieun Kim 김기은
Undergraduate Internship (since 2020)
Heechan Yang, Dec 2022--present
Kieun Kim, Aug 2022--Feb 2023
Insun Baek, Jul 2022--Dec 2022
Seoye Kim, Jul 2022--Dec 2022
Eunchan Park, Jun 2022--Dec 2022
Jeongin Cho, Jul 2020--Feb 2021
Doyoon Kim, Feb 2020--June 2020
Alumni
Hanyoung Yoo (유한영), now in SAP Labs Korea
Master's Degree, Mar 2020-Feb 2022
Thesis: Improving Greybox Fuzzing Techniques for Continuous Unit-level Testing (BK 21 Master's Thesis Award)
Jeewoong Kim (김지웅), now in ARISE lab, Handong Global University
Master's Degree, Mar 2018-Aug 2021
Thesis: Extracting Fine-grained Traceability Links Between API Document Comments and JUnit Test Code Lines
Juyoung Jeon (전주영), now in Hyundai MOBIS
Master's Degree, Mar 2019-Feb 2021
Thesis: Improving Mutation Based Fault Localization for Omission Faults (BK 21 Master's Thesis Award)
Hansol Choe (최한솔), now in Suresoft Technologies Inc.
Master's Degree, Mar 2018-Feb 2021
Thesis: Concolic Testing Search Strategies for Mitigating Path-space Local Search Problem (Best Master's Thesis Award)
[ICST'23-Poster] BugOss: A Regression Bug Benchmark for Empirical Study of Regression Fuzzing Techniques
[STVR'22] Learning-based Mutant Reduction using Fine-grained Mutation Operators
[ICSME-NIER'22] Inferring Fine-grained Traceability Links between Javadoc Comment and JUnit Test Code
[TOSEM'22] Predictive Mutation Analysis via Natural Language Channel in Source Code
[ICST-Experience'22] Repairing Fragile GUI Test Cases Using Word and Layout Embedding
[ASE-Industry'21] Improving Configurability of Unit-level Continuous Fuzzing: An Industrial Case Study with SAP HANA
[ASE-LBR'21] Improving Mutation-Based Fault Localization with Plausible-code Generating Mutation Operators
[SSBSE-RENE'21] Empirical Study of Effectiveness of EvoSuite on the SBST 2020 Tool Competition Benchmark
[STVR'21] DEMINER: test generation for high test coverage through mutant exploration
[ICSE-NIER'20] Threats to Validity in Evaluating Mutation-based Fault Localization
[ESEC/FSE'19] Target-driven Compositional Concolic Testing with Function Summary Refinement for Effective Bug Detection
[ICST-Experience'19] Classifying False Positive Static Checker Alarms In Continuous Integration Using Convolutional Neural Networks
[ICST'18] Invasive Software Testing: Mutating Target Programs to Diversify Test Exploration for High Test Coverage (distinguished paper award)
[IST'17] Mutation-Based Fault Localization for Real-World Multilingual Programs
Research Projects
Center for Software Disaster Research, Excellent Research Center (ERC), NRF, 2021-2028 (led by Prof. Yunja Choi at KNU, in collaboration with KAIST, Korea University, UNIST, POSTECH, Hanyang University) (on going)
Development of automatic software error repair technology that combines code analysis and error mining, IITP (in collaboration with SuresoftTech Inc., Arcyl Inc., Prof. Shin Yoo at KAIST and Prof. Jooyong Yi at UNIST), 2021-2024 (on going)
Fuzz Testing for Effective Continuous Testing on Evolving Software, NRF, 2020-2023
Design of Online Model Training and Prediction Environment for Reproducible Machine Learning Artifact Archiving (in collaboration with Prof. Charmgil Hong at Handong University), KISTI, 2020-2021
Establishing Code Change Traceability Using Source Code Embedding (in direction of Prof. Shin Yoo at KAIST), Samsung Research, 2020, 2021
Fuzzing for Improving Unit-level Testing, SAP Labs Korea, 2020, 2021
Intelligent Automation Techniques for Fullstack Software Debugging, Next-Generation Information Computing Development Program Funded by NRF, 2017-2020
Automated Method of Assessing Test Artifacts Quality (in direction of Prof. Shin Yoo at KAIST), Samsung Research, 2019
Developing Automated Software Test Generation Techniques Using Data-driven Analyses, Young Researcher Program Funded by NRF, 2017-2019