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Haoliang Cheng

dblp:207/7192 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · unresolved

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

Software engineering, systems software and programming languages · 2 · 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
0.312017
Sketch-guided GUI test generation for mobile applications · ASE 2017
Software testing › GUI testing
model-based GUI testing
0.312017
Sketch-guided GUI test generation for mobile applications · ASE 2017

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

sketch-based specification · 0.3model-based testing · 0.3
YearPublicationVenuePosition
2025 BlockSOP: A blockchain-based software management platform for open collaborative development
Shuoxiao Zhang, Enyi Tang, Haoliang Cheng, An Guo 0002, Xin Chen 0027, Linzhang Wang, Na Meng 0001, Xuandong Li
J. Syst. Softw.3
2017 Sketch-guided GUI test generation for mobile applications
abstract
Mobile applications with complex GUIs are very popular today. However, generating test cases for these applications is often tedious professional work. On the one hand, manually designing and writing elaborate GUI scripts requires expertise. On the other hand, generating GUI scripts with record and playback techniques usually depends on repetitive work that testers need to interact with the application over and over again, because only one path is recorded in an execution. Automatic GUI testing focuses on exploring combinations of GUI events. As the number of combinations is huge, it is still necessary to introduce a test interface for testers to reduce its search space. This paper presents a sketch-guided GUI test generation approach for testing mobile applications, which provides a simple but expressive interface for testers to specify their testing purposes. Testers just need to draw a few simple strokes on the screenshots. Then our approach translates the strokes to a testing model and initiates a model-based automatic GUI testing. We evaluate our sketch-guided approach on a few real-world Android applications collected from the literature. The results show that our approach can achieve higher coverage than existing automatic GUI testing techniques with just 10-minute sketching for an application.
Chucheng Zhang, Haoliang Cheng, Enyi Tang, Xin Chen 0027, Lei Bu, Xuandong Li
ASE2