Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Monkey Gamer: Automatic profiling of Android games
Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering. (Real-time Systems Laboratory)
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. (Real-time Systems Laboratory)
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology. (Real-time Systems Laboratory)
2014 (English)In: International Conference on Mobile Computing, Applications and Services (MobiCASE), IEEE conference proceedings, 2014, 1-8 p.Conference paper, Published paper (Refereed)
Abstract [en]

Creation of smartphone applications has undergone a massive explosion in recent years and there is an urgent need for evaluation of their resource efficiency, trustworthiness and reliability. A large proportion of these apps are going to be within the gaming area. In this paper we classify game apps on the basis of their development process, their I/O process and their interaction level. We present Monkey Gamer, a software to automatically play a large class of Android games and collect execution traces, based on a state machine to partially describe the game structure and interactions. A significant similarity is shown when comparing the results obtained by the Monkey Gamer and by human players, for three of the most popular Android games. We evaluate the performance of the Monkey Gamer by comparing the traces it generates with traces created when humans play the games, and find significant similarity in the trace sets.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. 1-8 p.
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:liu:diva-118360DOI: 10.4108/icst.mobicase.2014.257771ISI: 000380451900015OAI: oai:DiVA.org:liu-118360DiVA: diva2:814634
Conference
International Conference on Mobile Computing, Applications and Services (MobiCASE)
Available from: 2015-05-27 Created: 2015-05-27 Last updated: 2017-02-21Bibliographically approved

Open Access in DiVA

fulltext(4421 kB)165 downloads
File information
File name FULLTEXT02.pdfFile size 4421 kBChecksum SHA-512
4ccfde6bf830c19a0d83e52ce7b9b2abc70f2942585fe280019e6e016e361351eab713bb36c69b79c15ae1891db21a1f32d43db70361adf076a7555c6b4a9999
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Nadjm-Tehrani, SiminPrem Bianzino, Aruna
By organisation
Department of Computer and Information ScienceFaculty of Science & EngineeringSoftware and SystemsThe Institute of Technology
Media and Communication Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 165 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 87 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf