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Empirical evaluation of cloud-based testing techniques: a systematic review

Published: 16 May 2012 Publication History

Abstract

Software Testing is a challenging activity for many software engineering projects, especially for large scale systems. The amount of tests cases can range from a few hundred to several thousands, requiring significant computing resources and lengthy execution times. Cloud computing offers the potential to address both of these issues: it offers resources such as virtualized hardware, effectively unlimited storage, and software services that can aid in reducing the execution time of large test suites in a cost-effective manner. In this paper we report on a systematic review of cloud based testing techniques published in major software engineering journals and conferences conducted by other researchers. Research papers were gathered from various scholarly databases using provided search engines within a given period of time. A total of 82 research papers are analyzed in this systematic review and we classified it into four categories according to issues addressed by them. We identified majority of the research papers focused on Cloud based Testing and Issues (38 papers) and 23 papers focused on Cloud based Testing Frameworks. By looking at the areas focused by existing researchers, gaps and untouched areas of cloud based testing can be discovered

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cover image ACM SIGSOFT Software Engineering Notes
ACM SIGSOFT Software Engineering Notes  Volume 37, Issue 3
May 2012
129 pages
ISSN:0163-5948
DOI:10.1145/2180921
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 May 2012
Published in SIGSOFT Volume 37, Issue 3

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Author Tags

  1. cloud testing
  2. cloud-based testing
  3. metamorphic testing
  4. performance testing
  5. privacy-aware testing
  6. security testing
  7. software testing
  8. symbolic execution
  9. testing cloud services

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