Sheng-Jen Chang

dblp:47/4615 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

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

Software engineering, systems software and programming languages · 2Artificial intelligence and machine learning · 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%
Databases, data mining, and information retrieval
1 paper
Transaction processing and concurrency control · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software testing › database testing
database application testing
0.012004
Technology for Testing Nondeterministic Client/Server Database Applications · IEEE Trans. Software Eng. 2004

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

race variant derivation · 0.1prefix-based replay · 0.1
YearPublicationVenuePosition
2019 Deep convolution neural network with scene-centric and object-centric information for object detection
Zong-Ying Shen, Shiang-Yu Han, Li-Chen Fu, Pei-Yung Hsiao, Yo-Chung Lau, Sheng-Jen Chang
Image Vis. Comput.6
2004 Technology for Testing Nondeterministic Client/Server Database Applications
abstract
The execution of a client/server application involving database access requires a sequence of database transaction events (or, T-events), called a transaction sequence (or, T-sequence). A client/server database application may have nondeterministic behavior in that multiple executions thereof with the same input may produce different T-sequences. We present a framework for testing all possible T-sequences of a client/server database application. We first show how to define a T-sequence in order to provide sufficient information to detect race conditions between T-events. Second, we design algorithms to change the outcomes of race conditions in order to derive race variants, which are prefixes of other T-sequences. Third, we develop a prefix-based replay technique for race variants derived from T-sequences. We prove that our framework can derive all the possible T-sequences in cases where every execution of the application terminates. A formal proof and an analysis of the proposed framework are given. We describe a prototype implementation of the framework and present experimental results obtained from it.
Gwan-Hwan Hwang, Sheng-Jen Chang, Huey-Der Chu
IEEE Trans. Software Eng.2
2004 Correction to 'Technology for Testing Nondeterministic Client/Server Database Applications'
Gwan-Hwan Hwang, Sheng-Jen Chang, Huey-Der Chu
IEEE Trans. Software Eng.2