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SE LAB | KAIST

What is Software Engineering? Local vs. Global Models for Effort Estimation and Defect Prediction. Towards Mutation Analysis for Lustre Programs. Establishing theoretical minimal sets of mutants. Software Metrics as Error Predictors. Guided GUI Testing of Android Apps with Minimal Restart and Approximate Learning. 2015 SE LAB KAIST.

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SE LAB | KAIST | se.kaist.ac.kr Reviews
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What is Software Engineering? Local vs. Global Models for Effort Estimation and Defect Prediction. Towards Mutation Analysis for Lustre Programs. Establishing theoretical minimal sets of mutants. Software Metrics as Error Predictors. Guided GUI Testing of Android Apps with Minimal Restart and Approximate Learning. 2015 SE LAB KAIST.
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SE LAB | KAIST | se.kaist.ac.kr Reviews

https://se.kaist.ac.kr

What is Software Engineering? Local vs. Global Models for Effort Estimation and Defect Prediction. Towards Mutation Analysis for Lustre Programs. Establishing theoretical minimal sets of mutants. Software Metrics as Error Predictors. Guided GUI Testing of Android Apps with Minimal Restart and Approximate Learning. 2015 SE LAB KAIST.

INTERNAL PAGES

se.kaist.ac.kr se.kaist.ac.kr
1

Mining Software Repository | SE LAB | KAIST

http://se.kaist.ac.kr/mining-software-repository

The Mining Software Repositories (MSR) field analyzes the rich data available in software repositories, such as version control repositories, mailing list archives, bug tracking systems, issue tracking systems, etc. to uncover interesting and actionable information about software systems, projects and software engineering. 2015년 배두환 교수님 생신파티. 2015 전문가 초청 세미나(AMME). 2015 K-Valley RED&B 무주 워크샵. 2016 SE LAB KAIST.

2

Lab Seminar | SE LAB | KAIST

http://se.kaist.ac.kr/lab-seminar

Self-Adaptive Software Needs Quantitative Verification at Runtime. Defect prediction: Accomplishments and future challenges. Research progress (to be uploded). From Invariant Checking to Invariant Inference using Randomized Search. SrcSlice: very efficient and scalable forward static slicing. Automatic GUI Test Generation for Smartphone Applications - an Evaluation. Goal-Oriented Software Testing Methodology. The State of the Art in Automated Requirements Elicitation. 2015년 배두환 교수님 생신파티. 2016 SE LAB KAIST.

3

Projects | SE LAB | KAIST

http://se.kaist.ac.kr/projects

모델 기반의 초대형 복잡 시스템 분석 및 검증 SW 개발. 201503.01 – 2023.02.28,. 시스템 오브 시스템즈 역량 달성 및 안전 확보를 위한 소프트웨어 모델링 및 검증 기술 개발. 201503.01 – 2015.11.30,. KAIST-대덕특구 출연(연) RED&B사업. 오픈 소스 안정성 및 품질 지표 연구. 201504.13 – 2015.11.13,. 자율지능형 지식/기기 협업 프레임워크 기술 개발. 2013 05. 01 – 2017. 04. 30,. 무인항공기 체계 소프트웨어 신뢰도 확보방안. 201308.21 – 2016.03.20,. 안드로이드 GUI Testing 자동화 도구 기술 개발. 201410.01 – 2015.06.30,. 시스템 오브 시스템즈 확률 모델 검증 기술 개발. 201405.12 – 2014.12.31,. KAIST-대덕특구 출연(연) RED&B사업. 안드로이드 GUI Testing 자동화 도구 기술 개발. 자율지능형 지식/기기 협업 프레임워크 기술 개발.

4

Alumni | SE LAB | KAIST

http://se.kaist.ac.kr/alumni

MS 2015] Cheolwoo Chae. Software Testing / Verification. MS 2015] Yoojin Lim. Adaptive Multi-Agent System Testing. MS 2014] Gwangui Hong. 금융결제원 (KFTC:Korea Financial Telecommunications & Clearings Institute). PhD 2014] Gigon Bae. Automated Test Data Generation. PhD 2012/PostDoc 2014] Yeong-Seok Seo. PhD 2013] Ah-Rim Han. PhD 2013] Jinho Choi. Agency for Defense Development. Safety-Critical & Real-Time Embedded Software. MS 2013] Jong-Se Won. MS 2013] Nguyen Minh Chau. Software Design & Analysis.

5

Events | SE LAB | KAIST

http://se.kaist.ac.kr/events

You're in all Blogs Section. No Comments ↓. 2016년 1월 28일 29일, 1박 2일간 서울 강남 토즈에서 한국 정보과학회가 주최하는 오픈 소스 실전 활용 교육에 참가했습니다. Github, JIRA, Sonarcube 등 새로운 툴을 접해보고 오픈 소스에 대해 조금 더 깊게 이해할 수 있었던 좋은 시간이었습니다. No Comments ↓. 2016년 1월 11일 2016년 SE&Spiral 연구실의 모든 학생분들과 배두환 교수님, Spiral 연구실 백종문 교수님과 함께 신년 하례식을 가졌습니다. 새해 다짐과 함께 서로 덕담을 나누는 따뜻한 시간이었습니다. 새해 복 많이 받으세요. 2015년 배두환 교수님 생신파티. No Comments ↓. 2015년 12월 7일, 신성동의 샤브샤브집에서 연구실 사람들과 함께 교수님의 생신을 축하드리는 파티를 했습니다. 교수님, 생신 축하드립니다. 2015 전문가 초청 세미나(AMME). No Comments ↓. 2015년 ...

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Publication « SPIRAL :: Software Process Improvement and Reliability Assurance Lab. @KAIST

http://spiral.kaist.ac.kr/wp/publicication

Duksan Ryu, Jongmoon Baik, Effective Multi-Objective Naïve Bayes Learning for Cross-Project Defect Prediction , (Online Publish) Applied Soft Computing, ISSN: 1568-4946 , vol. XX, no. X, pp.XXX-XXX, 201X [SCI IF=2.810]. Jinhee Park, Nakwon Lee, and Jongmoon Baik, Exploring Multi-step-ahead Prediction Strategies for Data-driven Software Reliability Models , submitted to IEEE Transaction on Reliability, ISSN: 0928-8910 (Print), vol. XX, no. X, pp.XXX-XXX, 201X [SCI IF=1.934]. Joonseok Yang, Duksan Ryu, and...

spiral.kaist.ac.kr spiral.kaist.ac.kr

International Journal « SPIRAL :: Software Process Improvement and Reliability Assurance Lab. @KAIST

http://spiral.kaist.ac.kr/wp/publicication/international-journal

Duksan Ryu, Jongmoon Baik, Effective Multi-Objective Naïve Bayes Learning for Cross-Project Defect Prediction , (Online Publish) Applied Soft Computing, ISSN: 1568-4946 , vol. XX, no. X, pp.XXX-XXX, 201X [SCI IF=2.810]. Jinhee Park, Nakwon Lee, and Jongmoon Baik, Exploring Multi-step-ahead Prediction Strategies for Data-driven Software Reliability Models , submitted to IEEE Transaction on Reliability, ISSN: 0928-8910 (Print), vol. XX, no. X, pp.XXX-XXX, 201X [SCI IF=1.934]. Duksan Ryu, Jong-In Jang, and ...

spiral.kaist.ac.kr spiral.kaist.ac.kr

International Conference « SPIRAL :: Software Process Improvement and Reliability Assurance Lab. @KAIST

http://spiral.kaist.ac.kr/wp/publicication/international-conference

Joonseok Yang, Duksan Ryu, and Jongmoon Baik, Improving Vulnerability Prediction Accuracy with Secure Coding Standard Violation Measures , 3rd International Conference on Big Data and Smart Computing (BigComp 2016), Hong Kong, China, Jan. 18-20, 2016 [Acceptance Rate: 23%]. Duksan Ryu, Okjoo Choi, and Jongmoon Baik, “Improving Prediction Robustness of VAB-SVM for Cross-Project Defect Prediction”, IEEE International Conference on Ubiquitous Computing and Communications (IUCC 2014), in Chengdu,...Jinhee Pa...

spiral.kaist.ac.kr spiral.kaist.ac.kr

Ph.D « SPIRAL :: Software Process Improvement and Reliability Assurance Lab. @KAIST

http://spiral.kaist.ac.kr/wp/members/ph-d

Research Interests : Software Reliability, Software Metrics. Joined in Spring 2014. Email : cheonyoungkim@kaist.ac.kr. Research Interests : Software Reliability in Heavy Industries. Joined in Spring 2014. Email : jjang9dr@kaist.ac.kr. Research Interests : Software Reliability and Software Engineering. Joined in Spring 2013. Email : mobilcom@kaist.ac.kr. Research Interests : Software Model Checking. Joined in Spring 2015. Email : skrdnjs@kaist.ac.kr. Research Interests : Requirements Engineering.

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Forum: Discussion « SPIRAL :: Software Process Improvement and Reliability Assurance Lab. @KAIST

http://spiral.kaist.ac.kr/wp/forums/forum/discussion

This forum contains 3 topics and 22 replies, and was last updated by. Viewing 3 topics - 1 through 3 (of 3 total). 4 years, 2 months ago. 4 years, 2 months ago. Viewing 3 topics - 1 through 3 (of 3 total). You must be logged in to create new topics. Address: Software Process Improvement and Reliability Assurance Laboratory (N1 Building 525th Room), School of Computing, KAIST,. 291 Daehak-ro (373-1 Guseong-dong), Yuseong-gu, Daejeon 305-701,. IEEE Transaction on SE. KAIST School of Computing.

spiral.kaist.ac.kr spiral.kaist.ac.kr

Lectures « SPIRAL :: Software Process Improvement and Reliability Assurance Lab. @KAIST

http://spiral.kaist.ac.kr/wp/lectures

SEP521: Software Engineering Principles. This course is a graduate-level introductory course on the fundamental concepts and principles of software engineering. This course is designed to provide students with all aspects of software development from the requirement specification to the maintenance of a software system. It also includes software development processes as well as all the activities such as project management, supporting tools, and other supporting theories. Spring 2013] [ Spring 2015.

spiral.kaist.ac.kr spiral.kaist.ac.kr

Sponsors « SPIRAL :: Software Process Improvement and Reliability Assurance Lab. @KAIST

http://spiral.kaist.ac.kr/wp/projects/sponsors

DAPA (Defense Acquisition Program Administration. NIPA (National IT Industry Promotion Agency). ADD (Agency for Defence Development). DSRC (Defense Software Research Center). SPIC (Software Process Improvement Center). NRF (National Research Foundation of Korea). Address: Software Process Improvement and Reliability Assurance Laboratory (N1 Building 525th Room), School of Computing, KAIST,. 291 Daehak-ro (373-1 Guseong-dong), Yuseong-gu, Daejeon 305-701,. IEEE Transaction on SE. KAIST School of Computing.

spiral.kaist.ac.kr spiral.kaist.ac.kr

MS « SPIRAL :: Software Process Improvement and Reliability Assurance Lab. @KAIST

http://spiral.kaist.ac.kr/wp/members/ms

Research Interests : Software Reliability. Joined in Spring 2015. Email : jsjjung@kaist.ac.kr. Research Interests : Software Reliability. Joined in Fall 2015. Email : ksm2456@kaist.ac.kr. Research Interests : Software Reliability. Joined in Spring 2016. Email : loginluv@kaist.ac.kr. Address: Software Process Improvement and Reliability Assurance Laboratory (N1 Building 525th Room), School of Computing, KAIST,. 291 Daehak-ro (373-1 Guseong-dong), Yuseong-gu, Daejeon 305-701,. IEEE Transaction on SE.

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모바일 SW플랫폼 연구센터

http://mplatform.kaist.ac.kr/member_professor.html

한국과학기술원 전산학과 교수 / 책임교수. PhD, KAIST (1984). Tel: 82-42-350-3519 / Fax: 82-42-350-3510. Maeng@cs.kaist.ac.kr. Http:/ calab.kaist.ac.kr/. PhD, University of Florida (2001). Real-time and Embedded Systems, RFID/Sensor Networks, Robot. Tel: 82-42-350-3551 / Fax: 82-42-350-6810. Http:/ resl.kaist.ac.kr/. PhD, Stanford University (2008). Computer Architecture, Interconnection Network. Http:/ web.kaist.ac.kr/ jjk12/. PhD, Pennsylvania State University (2003). Embedded Computing, Low Power, Fault Tolerance. Tel: ...

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SE LAB | KAIST

What is Software Engineering? Local vs. Global Models for Effort Estimation and Defect Prediction. Towards Mutation Analysis for Lustre Programs. Establishing theoretical minimal sets of mutants. Software Metrics as Error Predictors. Guided GUI Testing of Android Apps with Minimal Restart and Approximate Learning. 2015 SE LAB KAIST.

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