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Shanna Li

dblp:360/7526 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved

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
combinatorial testing
0.712023
ICTDroid: Parameter-Aware Combinatorial Testing for Components of Android Apps · ASE 2023
Software testing
test generation
0.712023
ICTDroid: Parameter-Aware Combinatorial Testing for Components of Android Apps · ASE 2023

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

static parameter extraction · 0.7combinatorial testing · 0.7
YearPublicationVenuePosition
2023 ICTDroid: Parameter-Aware Combinatorial Testing for Components of Android Apps
abstract
Components are the fundamental building blocks of Android applications. Different functional modules represented by components often rely on inter-component communication mechanisms to achieve cross-module data transfer and method invocation. It is necessary to conduct robustness testing on components to prevent component launching crashes and privacy leaks caused by unexpected input parameters. However, as the complexity of the input parameter structure and the diversity of possible inputs, developers may overlook specific inputs that result in exceptions. At the same time, the vast input space also brings challenges to efficient component testing. In this paper, we designed an automated test generation and execution tool for Android application components named ICTDroid, which combines static parameter extraction and adaptive-strength combinatorial testing generation to detect bugs with a compact test suite. Experiments have shown that the tool triggers 205 unique exceptions in 30 open-source applications with 1,919 test cases in 83 minutes, where the developers have confirmed six defects in three issues we reported.
Shixin Zhang, Shanna Li, Jiwei Yan, Jun Yan 0009
ASE2