Software Testing in the Cloud Migration and Execution /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Tilley, Scott (Συγγραφέας), Parveen, Tauhida (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Σειρά:SpringerBriefs in Computer Science,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03619nam a22004695i 4500
001 978-3-642-32122-1
003 DE-He213
005 20151029231101.0
007 cr nn 008mamaa
008 120914s2012 gw | s |||| 0|eng d
020 |a 9783642321221  |9 978-3-642-32122-1 
024 7 |a 10.1007/978-3-642-32122-1  |2 doi 
040 |d GrThAP 
050 4 |a QA76.758 
072 7 |a UMZ  |2 bicssc 
072 7 |a COM051230  |2 bisacsh 
082 0 4 |a 005.1  |2 23 
100 1 |a Tilley, Scott.  |e author. 
245 1 0 |a Software Testing in the Cloud  |h [electronic resource] :  |b Migration and Execution /  |c by Scott Tilley, Tauhida Parveen. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2012. 
300 |a XV, 103 p. 40 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Computer Science,  |x 2191-5768 
505 0 |a Introduction -- SMART-T: Migrating Testing to the Cloud -- HadoopUnit: Test Execution in the Cloud -- Case Studies -- Conclusions. 
520 |a 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 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 |a Computer science. 
650 0 |a Software engineering. 
650 0 |a Management information systems. 
650 1 4 |a Computer Science. 
650 2 4 |a Software Engineering. 
650 2 4 |a Management of Computing and Information Systems. 
700 1 |a Parveen, Tauhida.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642321214 
830 0 |a SpringerBriefs in Computer Science,  |x 2191-5768 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-32122-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)