ORCID Profile
0000-0001-5309-6438
Current Organisations
University of Wollongong
,
Manaaki Whenua - Landcare Research
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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2016
DOI: 10.1109/MC.2016.176
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2011
DOI: 10.1109/TSE.2010.23
Publisher: Springer Science and Business Media LLC
Date: 06-2011
Publisher: IEEE
Date: 2005
DOI: 10.1109/QSIC.2005.61
Publisher: IEEE
Date: 07-2013
DOI: 10.1109/QSIC.2013.43
Publisher: ACM
Date: 27-05-2018
Publisher: IEEE
Date: 12-2016
Publisher: ACM
Date: 27-05-2018
Publisher: IEEE
Date: 05-2017
DOI: 10.1109/MET.2017.1
Publisher: Springer Science and Business Media LLC
Date: 23-03-2015
Publisher: Elsevier BV
Date: 2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2021
Publisher: ACM Press
Date: 2005
Publisher: Wiley
Date: 24-08-2010
DOI: 10.1002/STVR.437
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2020
Publisher: IEEE
Date: 07-2019
Publisher: World Scientific Pub Co Pte Lt
Date: 25-09-2018
DOI: 10.1142/S0218194018500407
Abstract: As part of a software testing process, output verification poses a challenge when the output is not numeric or textual, such as graphical. The industry practice of using human oracles (testers) to observe and verify the correctness of the actual results is both expensive and error-prone. In particular, this practice is usually unsustainable when developing web applications — the most popular software of our era. This is because web applications change frequently due to the fast-evolving requirements amid popular demand. To improve the cost effectiveness of browser output verification, in this study we design failure-based testing techniques and evaluate the effectiveness and efficiency thereof in the context of web testing. With a novel application of the concept of adaptive random sequence (ARS), our approach leverages peculiar characteristics of failure patterns found in browser layout rendering. An empirical study shows that the use of failure patterns and inclination to guide the testing flow leads to more cost-effective results than other classic methods. This study extends the application of ARSs from the input space of programs to their output space, and also shows that adaptive random testing (ART) can outperform random testing (RT) in both failure detection effectiveness (in terms of F-measure) and failure detection efficiency (in terms of execution time).
Publisher: IEEE
Date: 08-2012
DOI: 10.1109/QSIC.2012.21
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2016
Publisher: Informa UK Limited
Date: 1992
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
Publisher: World Scientific Pub Co Pte Lt
Date: 12-2007
DOI: 10.1142/S0218194007003501
Abstract: Recently, adaptive random testing (ART) has been developed to enhance the fault-detection effectiveness of random testing (RT). It has been known in general that the fault-detection effectiveness of ART depends on the distribution of failure-causing inputs, yet this understanding is in coarse terms without precise details. In this paper, we conduct an in-depth investigation into the factors related to the distribution of failure-causing inputs that have an impact on the fault-detection effectiveness of ART. This paper gives a comprehensive analysis of the favourable conditions for ART. Our study contributes to the knowledge of ART and provides useful information for testers to decide when it is more cost-effective to use ART.
Publisher: Association for Computing Machinery (ACM)
Date: 04-01-2018
DOI: 10.1145/3143561
Abstract: Metamorphic testing is an approach to both test case generation and test result verification. A central element is a set of metamorphic relations, which are necessary properties of the target function or algorithm in relation to multiple inputs and their expected outputs. Since its first publication, we have witnessed a rapidly increasing body of work examining metamorphic testing from various perspectives, including metamorphic relation identification, test case generation, integration with other software engineering techniques, and the validation and evaluation of software systems. In this article, we review the current research of metamorphic testing and discuss the challenges yet to be addressed. We also present visions for further improvement of metamorphic testing and highlight opportunities for new research.
Publisher: IEEE Comput. Soc
Date: 2000
Publisher: Elsevier BV
Date: 04-2008
DOI: 10.1016/J.MYCRES.2008.02.002
Abstract: The rigorous study of processes shaping geographic distributions of lineages is a relatively new and emerging field in mycology. While it was previously generally believed that most fungi have wide distributions and largely unstructured populations, recent studies have shown that this is not the case. The study of distributions in tandem with molecular approaches to phylogeny has recently made substantial advances to our understanding of the ersity and biogeography of fungi. Comprehensive species inventories have provided a better picture of the actual distribution of these organisms, while robust phylogenies based on molecular characters have provided both data that allow interpretation of current distributions and testable hypotheses regarding the processes responsible for distribution patterns. This commentary provides an introduction to five papers in this issue of Mycological Research that focus on fungal phylogeography. These papers are based on oral contributions given at two symposia at the International Mycological Congress (IMC8) held in Cairns (Australia) in August 2006.
Publisher: IEEE
Date: 05-2019
No related grants have been discovered for Peter Buchanan.