Robust performance testing for digital forensic tools Pan, Lei and Batten, Lynn 2009, Robust performance testing for digital forensic tools, Digital investigation, vol. 6, no. 1-2, pp. 71-81, doi: 10.1016/j.diin.2009.02.003. Attached Files Name Description MIMEType Size Downloads Title Robust performance testing for digital forensic tools Author(s) Pan, Lei orcid.org/0000-0002-4691-8330 Batten, Lynn orcid.org/0000-0003-4525-2423 Journal name Digital investigation Volume number 6 Issue number 1-2 Start page 71 End page 81 Total pages 11 Publisher Elsevier Advanced Technology Place of publication Kidlington, England Publication date 2009-09 ISSN 1742-2876 1873-202X Keyword(s) digital forensic tool testing experimental errors performance testing CFReDS project EESAG Summary In previous work, the authors presented a theoretical lower bound on the required number of testing runs for performance testing of digital forensic tools. However, experimental errors are inevitable in laboratory settings, occurring as measurement errors or as random errors and can result in practical situations where the number of testing runs is far from the theoretical bound. This paper adapts our former work to tolerate such errors in the testing results. The contribution of our new methodology enables the tester to achieve performance testing results of high quality from a manageable number of observations and in a dynamic but controllable way. This is of particular interest to forensic testers who do not have access to sophisticated equipment and who can allocate only a small amount of time to testing. Language eng DOI 10.1016/j.diin.2009.02.003 Field of Research 100605 Performance Evaluation; Testing and Simulation of Reliability Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture) HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article HERDC collection year 2009 Copyright notice ©2009, Elsevier Persistent URL http://hdl.handle.net/10536/DRO/DU:30028334 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 14 Apr 2010, 16:35:22 EST Wed, 14 Apr 2010, 16:35:59 EST Fri, 16 Apr 2010, 11:16:57 EST Fri, 16 Apr 2010, 11:18:14 EST Mon, 20 Feb 2012, 11:25:19 EST Fri, 11 Oct 2013, 13:12:10 EST Fri, 17 Oct 2014, 10:15:15 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 8 times in Scopus Search Google Scholar Access Statistics: 887 Abstract Views, 7 File Downloads  -  Detailed Statistics Created: Wed, 14 Apr 2010, 16:35:16 EST by Sandra Dunoon

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