Metamorphic Testing for Adobe Analytics Data Collection Java']JavaScript Library

被引：6

作者：

Wang, Zhenyu ^{[1
]}

Towey, Dave ^{[2
]}

Zhou, Zhi Quan ^{[3
]}

Chen, Tsong Yueh ^{[4
]}

机构：

[1] Adobe, 3900 Adobe Way, Lehi, UT 84043 USA

[2] Univ Nottingham Ningbo China, Sch Comp Sci, Ningbo 315100, Zhejiang, Peoples R China

[3] Univ Wollongong, Sch Comp & Informat Technol, Inst Cybersecur & Cryptol, Wollongong, NSW 2522, Australia

[4] Swinburne Univ Technol, Dept Comp Sci & Software Engn, Hawthorn, Vic 3122, Australia

来源：

2018 IEEE/ACM 3RD INTERNATIONAL WORKSHOP ON METAMORPHIC TESTING (MET 2018) | 2018年

基金：

澳大利亚研究理事会;

关键词：

Oracle problem; metamorphic testing; Adobe Analytics; data collection; combinatorial testing;

D O I：

10.1145/3193977.3193979

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In recent years, metamorphic testing has been successfully and systematically adopted within Adobe Systems to improve the cost effectiveness of its software process. In this industry experience report, we present a case where metamorphic testing has been applied to the Data Collection JavaScript Library of Adobe Analytics. This type of software is difficult to test using traditional approaches. The application of metamorphic testing alleviated the oracle problem, and detected real-life bugs in the system under test as well as compatibility problems between the system and its environment, namely, the Internet Explorer browser. Our results further justify the adoption of metamorphic testing as a simple yet effective approach in industrial settings.

引用

页码：34 / 37

页数：4

共 7 条

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