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ESEC/FSE 2022
Mon 14 - Fri 18 November 2022 Singapore
Fri 18 Nov 2022 11:00 - 11:30 at SRC GLR - Test Automation Efficiency 2 Chair(s): Niels Doorn

The complexity of computer games is ever increasing. In this setup, guiding an automated test algorithm to find a solution to solve a testing task in a game’s huge interaction space is very challenging. Having a model of a system to automatically generate test cases would have a strong impact on the effectiveness and efficiency of the algorithm. However, manually constructing a model turns out to be expensive and time-consuming. In this study, we propose an online agent-based search approach to solve common testing tasks when testing computer games that also constructs a model of the system on-the-fly based on the given task, which is then exploited to solve the task. To demonstrate the efficiency of our approach, a case study is conducted using a game called Lab Recruits.

Fri 18 Nov

Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change

11:00 - 12:30
Test Automation Efficiency 2A-TEST at SRC GLR
Chair(s): Niels Doorn Open Universiteit and NHL Stenden University of Applied Sciences
11:00
30m
Talk
An Online Agent-based Search Approach in Automated Computer Game Testing with Model Construction
A-TEST
Pre-print
11:30
30m
Talk
OpenGL API Call Trace Reduction with the Minimizing Delta Debugging Algorithm
A-TEST
Daniella Bársony University of Szeged, Department of Software Engineering
12:00
30m
Talk
Iterating the Minimizing Delta Debugging Algorithm
A-TEST