Proceedings ArticleDOI
Getting ready for BigData testing: A practitioner's perception
S. Nachiyappan,S. Justus +1 more
- pp 1-5
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TLDR
Two specialized testings are considered to learn the intricacies of Big Test Data Management, and thoughts on Big Test data Management are also presented.Abstract:
Big Data is already there and developers and analytics are working with it using several support upcoming frameworks and technologies. The storage and retrieval systems, the access layers and processes for Big Data are evolving day by day. Test Architects and Testing teams are not excluded in this Big scenario. This literature focuses on some of the challenges test teams would be facing in the near future. Two specialized testings are considered to learn the intricacies, and thoughts on Big Test Data Management are also presented.read more
Citations
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Proceedings ArticleDOI
Testing data transformations in MapReduce programs
TL;DR: This paper proposes the testing technique called MRFlow that is based on data flow test criteria and oriented to transformations analysis between the input and the output in order to detect defects in MapReduce programs.
Journal ArticleDOI
Automatic Testing of Design Faults in MapReduce Applications
TL;DR: New testing techniques that aimed to detect design faults by simulating different infrastructure configurations that as whole are more likely to reveal failures using random testing, and partition testing together with combinatorial testing are proposed.
Journal ArticleDOI
Testing MapReduce programs: A systematic mapping study
TL;DR: MapReduce is a processing model used in Big Data to facilitate the analysis of large data under a distributed architecture that simplifies the management of large amounts of data.
Proceedings ArticleDOI
Towards Ex Vivo Testing of MapReduce Applications
TL;DR: This work proposes an automatic test framework implementing a novel testing approach called Ex Vivo that can identify a fault in a few seconds, then the program can be stopped, not only avoiding an incorrect output, but also saving money, time and energy of production resources.
Proceedings ArticleDOI
Infrastructure-Aware Functional Testing of MapReduce Programs
TL;DR: A testing technique is proposed to generate different infrastructure configurations for a given test input data, and then the program is executed in these configurations in order to reveal functional faults.
References
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The Age of Big Data
TL;DR: The workshop was hosted by The Law and Technology Centre of the Faculty of Law, The University of Hong Kong, Hong Kong as discussed by the authors, Hong Kong and was presented by the authors of this paper.
Understanding System and Architecture for Big Data
Anne E. Gattiker,H Fadi,Ahmed Gheith,H. Peter Hofstee,Damir A. Jamsek,Jian Li,Evan Speight,Juwei Shi,Guan Cheng,Peter W. Wong +9 more
TL;DR: Preliminary infrastructure tuning results in sorting 1TB data in 14 minutes 1 on 10 Power 730 machines running IBM InfoSphere BigInsights and further improvement is expected, among other factors, on the new IBM PowerLinux TM 7R2 systems.