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Zimin Ding

dblp:379/8649 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0004-2698-2898ORCID · reported

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 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software testing › test generation
automated test generation
0.812024
Practical, Automated Scenario-Based Mobile App Testing · IEEE Trans. Software Eng. 2024
Software testing
mobile application testing
0.812024
Practical, Automated Scenario-Based Mobile App Testing · IEEE Trans. Software Eng. 2024
Software testing › test generation › automated test generation
test scenario generation
0.812024
Practical, Automated Scenario-Based Mobile App Testing · IEEE Trans. Software Eng. 2024
Software testing
GUI testing
0.212024
Practical, Automated Scenario-Based Mobile App Testing · IEEE Trans. Software Eng. 2024
Software testing
test generation
0.212024
Practical, Automated Scenario-Based Mobile App Testing · IEEE Trans. Software Eng. 2024

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

event knowledge graph · 0.8GUI image understanding · 0.8
YearPublicationVenuePosition
2024 Practical, Automated Scenario-Based Mobile App Testing
abstract
The importance of mobile application (app) quality assurance is increasing with the rapid development of the mobile Internet. Automated test generation approaches, as a dominant direction of app quality assurance, follow specific models or strategies, targeting at optimizing the code coverage. Such approaches lead to a huge gap between testing execution and app business logic. Test scripts developed by human testers consider business logic by focusing on testing scenarios. Due to the GUI-intensive feature of mobile apps, human testers always understand app GUI to organize test scripts for scenarios. This inspires us to utilize domain knowledge from app GUI understanding for scenario-based test generation. In this paper, we propose a novel approach,ScenTest, for scenario-based mobile app testing with event knowledge graph (EKG) via GUI image understanding.ScenTesttries to start automated testing by imitating human practices and integrating domain knowledge into scenario-based mobile app testing, realizing fully automated testing on target testing scenarios for the first time.ScenTestextracts four kinds of entities and five kinds of corresponding relationships from crowdsourced test reports, where the test events and app GUI information are presented, and constructs the EKGs for specific scenarios. Then,ScenTestconducts test generation for specific scenarios on different apps with the guidance of EKG with the combination consideration of app current state and testing context. We conduct an evaluation onScenTeston different aspects. The results show that the test generation ofScenTeston the basis of EKG is effective, andScenTestreveals 150+ distinct real-world bugs in specific scenarios compared with representative baselines.
Shengcheng Yu, Chunrong Fang, Mingzhe Du, Zimin Ding, Zhenyu Chen 0001, Zhendong Su 0001
IEEE Trans. Software Eng.4