Automated test migration for mobile apps

Behrang, Farnaz; Orso, Alessandro

doi:10.1145/3183440.3195019

Cited by 20 publications

(5 citation statements)

References 1 publication

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“…GUI Test Adaptation CRAFTDROID [19] and APPTESTMI-GRATOR [20], [44] are the first attempts to adapt GUI tests across mobile apps. Both approaches explore a statically computed GUI model of the recipient app to "greedly" find a sequence of events that maximizes the semantic similarity with the events of the donor tests.…”

Section: Related Workmentioning

confidence: 99%

An Evolutionary Approach to Adapt Tests Across Mobile Apps

Mariani¹,

Pezzè²,

Terragni³

et al. 2021

Preprint

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Automatic generators of GUI tests often fail to generate semantically relevant test cases, and thus miss important test scenarios. To address this issue, test adaptation techniques can be used to automatically generate semantically meaningful GUI tests from test cases of applications with similar functionalities.In this paper, we present ADAPTDROID, a technique that approaches the test adaptation problem as a search-problem, and uses evolutionary testing to adapt GUI tests (including oracles) across similar Android apps. In our evaluation with 32 popular Android apps, ADAPTDROID successfully adapted semantically relevant test cases in 11 out of 20 cross-app adaptation scenarios.

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Section: Related Workmentioning

confidence: 99%

An Evolutionary Approach to Adapt Tests Across Mobile Apps

Mariani¹,

Pezzè²,

Terragni³

et al. 2021

Preprint

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show abstract

“…AppTestMigrator builds on the vision and ideas that we proposed in earlier work [5,6] and implements the technique we presented in [7]. CraftDroid [9] was developed concurrently to [7] and also aims to migrate tests, including oracles, across mobile apps that share part of their functionality.…”

Section: Related Workmentioning

confidence: 99%

AppTestMigrator

Behrang

Orso

2020

Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings

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The use of mobile apps is increasingly widespread, and much effort is put into testing these apps to make sure they behave as intended.In this demo, we present AppTestMigrator, a technique and tool for migrating test cases between apps with similar functionality. The intuition behind AppTestMigrator is that many apps share similarities in their functionality, and these similarities often result in conceptually similar user interfaces (through which that functionality is accessed). AppTestMigrator attempts to automatically transform the sequence of events and oracles in a test case for an app (source app) to events and oracles for another app (target app). The results of our preliminary evaluation show the effectiveness of AppTestMigrator in migrating test cases between mobile apps with similar functionality.Video URL: https://youtu.be/WQnfEcwYqa4 CCS CONCEPTS• Software and its engineering → Software testing and debugging.

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“…Behrang and Orso [58] [59] propose AppTestMigrator, which allows for migrating test cases between apps with similar features using the similarity among GUI widgets.…”

Section: Gui-based Mobile Test Record and Replaymentioning

confidence: 99%

“…Some studies [44] [45] [46] [47] [48] have shown that similarities between different apps can help reuse test cases, significantly reducing mobile app testing overhead. Behrang et al [49] propose an approach, AppTestMigrator, leveraging similarities between the app GUIs of related apps to adapt and reuse GUI test cases, thereby reducing app test case generation overhead. However, such studies are still trying to migrate existing test operation sequences to new apps, and the replay of test operation sequences should follow the recorded operation sequences.…”

Section: B Bug Report To Tests and Test Transferringmentioning

confidence: 99%

LIRAT: Layout and Image Recognition Driving Automated Mobile Testing of Cross-Platform

Fang

Feng

et al. 2019

2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)

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The fragmentation problem has extended from Android to different platforms, such as iOS, mobile web, and even mini-programs within some applications (app), like WeChat 1. In such a situation, recording and replaying test scripts is one of the most popular automated mobile app testing approaches. However, such approach encounters severe problems when crossing platforms. Different versions of the same app need to be developed to support different platforms relying on different platform supports. Therefore, mobile app developers need to develop and maintain test scripts for multiple platforms aimed at completely the same test requirements, greatly increasing testing costs. However, we discover that developers adopt highly similar user interface layouts for versions of the same app on different platforms. Such a phenomenon inspires us to replay test scripts from the perspective of similar UI layouts. In this paper, we propose an image-driven mobile app testing framework, utilizing Widget Feature Matching and Layout Characterization Matching to analyze app UIs. We use computer vision (CV) technologies to perform UI feature comparison and layout hierarchy extraction on mobile app screenshots to obtain UI structures containing rich contextual information of app widgets, including coordinates, relative relationship, etc. Based on acquired UI structures, we can form a platform-independent test script, and then locate the target widgets under test. Thus, the proposed framework non-intrusively replays test scripts according to a novel platform-independent test script model. We also design and implement a tool named LIT to devote the proposed framework into practice, based on which, we conduct an empirical study to evaluate the effectiveness and usability of the proposed testing framework. The results show that the overall replay accuracy reaches around 63.39% on Android (14% improvement over state-of-the-art approaches) and 21.83% on iOS (98% improvement over state-of-the-art approaches).

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Automated test migration for mobile apps

Cited by 20 publications

References 1 publication

An Evolutionary Approach to Adapt Tests Across Mobile Apps

An Evolutionary Approach to Adapt Tests Across Mobile Apps

AppTestMigrator

LIRAT: Layout and Image Recognition Driving Automated Mobile Testing of Cross-Platform

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