Automatsko vizualno testiranje web-aplikacija

master's thesis

• Title (english): Automated visual testing of web-applications
• Author: Tomislav Toplak
• Mentor: Igor Mekterović (mentor)
• Committee member: Igor Mekterović (predsjednik povjerenstva)
• Committee member: Ljiljana Brkić (član povjerenstva)
• Committee member: Boris Milašinović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-02-09, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U ovom radu istraženo je područje automatskog vizualnog testiranja. Proučeni su i navedeni postojeći alati za takvo testiranje. Napravljen je kratak pregled metoda segmentacije web-stranica. Izgrađeno je rješenje za segmentaciju web-stranice koristeći računalni vid koje kao rezultat daje hijerarhiju elemenata. Za vizualnu usporedbu napravljen je algoritam usporedbe hijerarhija. Opisane su korištene tehnologije. Napravljen je i objašnjen alat koji koristi izgrađeno rješenje kako bi se postiglo automatsko vizualno testiranje web-aplikacija. Spomenuti su izazovi, problemi, neuspjesi i mjesta za napredak.

Abstract (english)

In this paper, the field of automatic visual testing was investigated. Existing tools for such testing have been studied and listed. A brief overview of web page segmentation methods is provided. A solution for segmenting a web page using computer vision has been built, which results in a hierarchy elements. For visual comparison, an algorithm for comparing hierarchies was developed. The technologies used are described. A tool that uses the built solution to achieve automatic visual testing of a web application was created and explained. Challenges, problems, failures and places for progress were mentioned.

• Keywords: Vizualno testiranje; Vizualna usporedba; Web-aplikacije; Segmentacija web-stranice; Python; JavaScript; Playwright; Programi za pretraživanje weba; Spidering AI
• Keywords (english): Visual testing; Visual comparison; Web applications; Web page segmentation; Python; JavaScript; Playwright; Crawling; Spidering AI
• Language: croatian
• URN:NBN: urn:nbn:hr:168:975366
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 16:23:53