| 书目名称 | Software Testing in the Cloud |
| 副标题 | Migration and Execut |
| 编辑 | Scott Tilley,Tauhida Parveen |
| 视频video | |
| 概述 | Contains hints, checklists and case studies for practitioners.Exploits cloud computing technologies for large-scale software testing.Supplemented by an additional community web site www.stitc.org.Incl |
| 丛书名称 | SpringerBriefs in Computer Science |
| 图书封面 |  |
| 描述 | .For a large, complex system, the amount of test cases in a regression test suite can range from a few hundred to several thousands, which can take hours or even days to execute. Regression testing also requires considerable resources that are often not readily available. This precludes their use in an interactive setting, further contributing to an inefficient testing process..Cloud computing offers the use of virtualized hardware, effectively unlimited storage, and software services that can help reduce the execution time of large test suites in a cost-effective manner. The research presented by Tilley and Parveen leverages the resources provided by cloud computing infrastructure to facilitate the concurrent execution of test cases. They introduce a decision framework called SMART-T to support migration of software testing to the cloud, a distributed environment called HadoopUnit for the concurrent execution of test cases in the cloud, and a series of case studies illustrating the use of the framework and the environment. Experimental results indicate a significant reduction in test execution time is possible when compared with a typical sequential environment..Software testing i |
| 出版日期 | Book 2012 |
| 关键词 | HadoopUnit; SMARTT; cloud computing; software testing; system migration |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-32122-1 |
| isbn_softcover | 978-3-642-32121-4 |
| isbn_ebook | 978-3-642-32122-1Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
| issn_series | 2191-5768 |
| copyright | The Author(s) 2012 |
发表于 2025-3-21 19:18:27
