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Wen-Ting Huang

dblp:35/2113 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Software testing · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software testing
automated testing
0.112007
Test automation for kernel code and disk arrays with virtual devices · ASE 2007
Software testing › system software testing
kernel testing
0.112007
Test automation for kernel code and disk arrays with virtual devices · ASE 2007
Storage systems
disk array
0.112007
Test automation for kernel code and disk arrays with virtual devices · ASE 2007

Methods — techniques the papers use, named apart from their topics

user-space kernel driving · 0.1kernel parameter profiling · 0.1device emulation · 0.1
YearPublicationVenuePosition
2014 Employing box plots to build high-dimensional manufacturing models for new products in TFT-LCD plants
Der-Chiang Li, Wen-Ting Huang, Chien-Chih Chen, Che-Jung Chang
Neurocomputing2
2007 Test automation for kernel code and disk arrays with virtual devices
abstract
In this work, we discuss testing automation issues for kernel code on a high-capacity network-attached storage (NAS) in early development phases when the hardware may not be ready. We propose to construct a high-fidelity versatile emulator for hard disks for the fast configuration of virtual disk arrays. To test kernel libraries, we not only have to figure out the proper values for the kernel procedure parameters, but also have to overcome the rigid resource limitations in kernel space. We propose techniques to profile kernel procedure parameters, drive the kernel procedures from the user space, and construct the testing interface between kernel SUTs (software-under-test) and user space test plans. We have experimented to test the multiple devices driver library used in the NAS server by Quanta Computer Inc. Our techniques support rapid NAS configurations and have been proven useful in locating a proven bug in the Linux kernel
Lin-Zan Cai, Rong-Shiung Wu, Wen-Ting Huang, Farn Wang
ASE3