000 03591nam a22004695i 4500
001 978-3-642-32122-1
003 DE-He213
005 20140220083323.0
007 cr nn 008mamaa
008 120914s2012 gw | s |||| 0|eng d
020 _a9783642321221
_9978-3-642-32122-1
024 7 _a10.1007/978-3-642-32122-1
_2doi
050 4 _aQA76.758
072 7 _aUMZ
_2bicssc
072 7 _aCOM051230
_2bisacsh
082 0 4 _a005.1
_223
100 1 _aTilley, Scott.
_eauthor.
245 1 0 _aSoftware Testing in the Cloud
_h[electronic resource] :
_bMigration and Execution /
_cby Scott Tilley, Tauhida Parveen.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aXV, 103 p. 40 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Computer Science,
_x2191-5768
505 0 _aIntroduction -- SMART-T: Migrating Testing to the Cloud -- HadoopUnit: Test Execution in the Cloud -- Case Studies -- Conclusions.
520 _aFor 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 in the cloud is a subject of high interest for advanced practitioners and academic researchers alike. For advanced practitioners, the issue of cloud computing and its impact on the field of software testing is becoming increasingly relevant. For academic researchers, this is a subject that is replete with interesting challenges; there are so many open problems that graduate students will be busy for years to come.  To further disseminate results in this field, the authors created a community of interest called “Software Testing in the Cloud” (www.STITC.org), and they encourage all readers to get involved in this exciting new area.
650 0 _aComputer science.
650 0 _aSoftware engineering.
650 0 _aInformation Systems.
650 1 4 _aComputer Science.
650 2 4 _aSoftware Engineering.
650 2 4 _aManagement of Computing and Information Systems.
700 1 _aParveen, Tauhida.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642321214
830 0 _aSpringerBriefs in Computer Science,
_x2191-5768
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-32122-1
912 _aZDB-2-SCS
999 _c103455
_d103455