Coding and Debugging by Separating Secret Code toward Secure Remote Development
It is a higher priority for organizations to keep their source code secured. Sometimes code leaks come from acts by inside programmers. This industrial paper proposes a MORDEn (Micro Organized Remote Development Environment) toward preventing code leaks. MORDEn enables programmers capable of coding and debugging by physically separating secret code from their client. We also introduce a showcase that demonstrates the feasibility of MORDEn from a case study project using it.
| Presentation_MORDEn_ASE2023 (MORDEn_ASE2023_presentation.pdf) | 1.49MiB |
Shinobu Saito is a Distinguished Researcher in the Computer and Data Science Laboratories at the NTT Corporation (Tokyo, Japan). His research interests are software requirements engineering, design recovery, business modeling, and business process management. He received his Ph.D. in system engineering at Keio University (Yokohama, Japan) in 2007. Saito was a visiting researcher at the Institute for Software Research (ISR) at the University of California, Irvine from 2016 to 2018.
Thu 14 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
13:30 - 15:00 | DebuggingResearch Papers / Industry Showcase (Papers) at Room E Chair(s): Carol Hanna University College London | ||
13:30 12mTalk | Coding and Debugging by Separating Secret Code toward Secure Remote Development Industry Showcase (Papers) Shinobu Saito NTT Media Attached File Attached | ||
13:42 12mTalk | Detecting Memory Errors in Python Native Code by Tracking Object Lifecycle with Reference Count Research Papers Xutong Ma State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China, Jiwei Yan Institute of Software at Chinese Academy of Sciences, China, Hao Zhang Institute of Software, Chinese Academy of Sciences, Jun Yan Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Jian Zhang Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences Pre-print | ||
13:54 12mResearch paper | PERFCE: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis Research Papers Zhenlan Ji The Hong Kong University of Science and Technology, Pingchuan Ma HKUST, Shuai Wang Hong Kong University of Science and Technology Pre-print | ||
14:06 12mTalk | The MAP metric in Information Retrieval Fault Localization Research Papers Media Attached File Attached | ||
14:18 12mTalk | Eiffel: Inferring Input Ranges of Significant Floating-point Errors via Polynomial ExtrapolationRecorded talk Research Papers Zuoyan Zhang Information Engineering University, Bei Zhou Information Engineering University, Jiangwei Hao Information Engineering University, Hongru Yang Information Engineering University, Mengqi Cui Information Engineering University, Yuchang Zhou Information Engineering University, Guanghui Song Information Engineering University, Fei Li Information Engineering University, Jinchen Xu Information Engineering University, Jie Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing Media Attached File Attached | ||
14:30 12mTalk | Information Retrieval-based Fault Localization for Concurrent ProgramsRecorded talk Research Papers Pre-print Media Attached | ||
