An online agent-based search approach in automated computer game testing with model construction

Samira Shirzadehhajimahmood, I.S.W.B. Prasetya, Frank Dignum, Mehdi Dastani

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationA-TEST 2022 - Proceedings of the 13th International Workshop on Automating Test Case Design, Selection and Evaluation, co-located with ESEC/FSE 2022
EditorsA. Kiss, B. Marin, M. Saadatmand
PublisherAssociation for Computing Machinery, Inc
Pages45-52
ISBN (Electronic)9781450394529
DOIs
Publication statusPublished - 7 Nov 2022
Externally publishedYes
Event13th International Workshop on Automating Test Case Design, Selection and Evaluation, A-TEST 2022, co-located with ESEC/FSE 2022 - Singapore, Singapore
Duration: 17 Nov 202218 Nov 2022

Conference

Conference13th International Workshop on Automating Test Case Design, Selection and Evaluation, A-TEST 2022, co-located with ESEC/FSE 2022
Country/TerritorySingapore
CitySingapore
Period17/11/2218/11/22

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