A cloud-based framework for applying metamorphic testing to a bioinformatics pipeline

被引：0

作者：

Troup, Michael ^{[1
,2
]}

Yang, Andrian ^{[1
,3
]}

Kamali, Amir Hossein ^{[1
,2
]}

Giannoulatou, Eleni ^{[1
,3
]}

Chen, Tsong Yueh ^{[4
]}

Ho, Joshua W. K. ^{[1
,3
]}

机构：

[1] Victor Chang Cardiac Res Inst, Sydney, NSW, Australia

[2] Univ Sydney, Sydney, NSW, Australia

[3] Univ New South Wales, Sydney, NSW, Australia

[4] Swinburne Univ Technol, Hawthorn, Vic 3122, Australia

来源：

2016 IEEE/ACM 1ST INTERNATIONAL WORKSHOP ON METAMORPHIC TESTING (MET) | 2016年

基金：

澳大利亚研究理事会; 英国医学研究理事会;

关键词：

Metamorphic testing; cloud computing; bioinformatics;

D O I：

10.1145/2896971.2896975

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Testing of bioinformatics software often suffers from the oracle problem, especially when testing software that analyses human genome sequencing data. Metamorphic testing has been proposed to alleviate the oracle problem. Nonetheless, smaller research or clinical centres may be challenged by the complexity and resources required to implement a suitable metamorphic testing framework in practice. This paper presents a case study on how a cloud-based metamorphic testing framework can be applied to a widely used genomic sequencing pipeline, and discusses the future of implementing large-scale on-demand automated metamorphic testing using cloud-based resources.

引用

页码：33 / 36

页数：4

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