@article {541,
	title = {A User-Interaction Bug Analyzer Based on Image Processing},
	journal = {CLEI Electronic Journal},
	volume = {19},
	year = {2016},
	month = {08/2016},
	abstract = {<p><span style="color: rgb(17, 17, 17); font-family: Roboto, Arial, sans-serif; font-size: 14px;">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.</span></p>},
	keywords = {Bug analyzer, Image processing, Interest points, Testing, User-interaction features},
	url = {http://www.scielo.edu.uy/pdf/cleiej/v19n2/v19n2a04.pdf},
	author = {Abel M{\'e}ndez-Porras and Jorge Alfaro-Vel{\'a}sco and Marcelo Jenkins and Alexandra Martinez}
}
