Abstract

Context: Mobile applications support a set of user-interaction features that are inde- pendent of the application logic. Rotating the device, scrolling, or zooming are examples of such features. Some bugs in mobile applications can be attributed to user-interaction features. Objective: This paper proposes and evaluates a bug analyzer based on user- interaction features that uses digital image processing to find bugs. Method: Our bug analyzer detects bugs by comparing the similarity between images taken before and after a user-interaction. SURF, an interest point detector and descriptor, is used to compare the images. To evaluate the bug analyzer, we conducted a case study with 15 randomly selected mobile applications. First, we identified user-interaction bugs by manually testing the applications. Images were captured before and after applying each user-interaction feature. Then, image pairs were processed with SURF to obtain interest points, from which a similarity percentage was computed, to finally decide whether there was a bug. Results: We performed a total of 49 user-interaction feature tests. When manually testing the applications, 17 bugs were found, whereas when using image processing, 15 bugs were detected. Conclusions: 8 out of 15 mobile applications tested had bugs associated to user-interaction features. Our bug analyzer based on image processing was able to detect 88% (15 out of 17) of the user-interaction bugs found with manual testing.

Highlights

  • The variety of mobile devices and their operating systems, known as fragmentation [1, 2, 3, 4], represents a testing challenge nowadays since mobile applications may behave differently regarding usability and performance depending on the device they are run on

  • It is very important to clarify that we reported these bugs based on the definition and behavior expected from the user-interaction features

  • We have proposed and evaluated a bug analyzer based on user-interaction features to detect bugs in mobile applications for the Android platform

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Summary

Introduction

The variety of mobile devices and their operating systems, known as fragmentation [1, 2, 3, 4], represents a testing challenge nowadays since mobile applications may behave differently regarding usability and performance depending on the device they are run on. According to Amalfitano and Fasolino [9], the quality of mobile applications is lower than expected due to rapid development processes where the activity of software testing is neglected or carried out superficially. Zaeem et al [10] conducted a study of defects in mobile applications, where they found that a significant fraction of bugs can be attributed to a class of features called user-interaction. They define a user-interaction feature as: An action supported by the mobile platform, which enables a human user to interact with a mobile app, using the mobile device and the graphical user-interface (GUI) of the app.

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