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Yuanyuan Chen 0017

dblp:37/7763-17 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0003-7761-0122ORCID · verified

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

Software engineering, systems software and programming languages · 1 · 1 since 2021

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%

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

TopicWeightPapersLastEvidence papers
Software testing
GUI testing
0.812024
GUI Test Repair Based on Test-Extension · ASE 2024
Software testing
test repair
0.812024
GUI Test Repair Based on Test-Extension · ASE 2024

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

sequence transduction probability · 0.8feature coverage · 0.8
YearPublicationVenuePosition
2024 GUI Test Repair Based on Test-Extension
abstract
GUI test repair is important to detect and repair obsolete test events to enhance the reliability of the software. From an interaction design perspective, designers usually design different routes to facilitate users to reach the same functional entry point. Based on this, we propose a novel test repair method to find paths with similar functions based on the feature coverage, to get as close as possible to the test target point during the repairing process, and to improve the effectiveness of the test fixing. A test extension algorithm is proposed to search for alternative event branches with similar features to the test script. Then, the sequence transduction probability is used to calculate the feature coverage of the mapping event paths in the updated version and guide the repair. Experiments conducted on popular applications demonstrate that the method can achieve a success rate of 79.63% in repairing tests, which significantly outperforms current approaches. The test-extension approach displays immense potential for optimizing test repairs.
Yuanyuan Chen 0017, Xiangping Chen
ASE2