Ulteriori informazioni
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.
Sommario
Introduction.- SMART-T: Migrating Testing to the Cloud.- HadoopUnit: Test Execution in the Cloud.- Case Studies.- Conclusions.
Info autore
Scott Tilley is a faculty member at the Florida Institute of Technology, where he is a Professor of Software Engineering in the Department of Computer Sciences, a Professor of Information Systems in the College of Business, and an Associate Member of the Harris Institute for Assured Information. He is also a Visiting Scientist at Carnegie Mellon University’s Software Engineering Institute. His current research is in software testing, cloud computing, and system migration. He is the lead editor of the book Software Testing in the Cloud: Perspectives on an Emerging Discipline (IGI Global, 2012). He writes the weekly “Technology Today” column for the Florida Today newspaper (Gannett). Scott holds a PhD in Computer Science from the University of Victoria.
Tauhida Parveen is an independent consultant and trainer with an emphasis on cloud computing and software testing. She has worked in quality assurance with organizations such as WikiMedia Foundation, Millennium Engineering & Integration, Yahoo!, Sabre, and Progressive Auto Insurance. She has presented at numerous trade conferences, published in several academic journals, and organized workshops at international events. She is an ISTQB Foundation Level Certified Software Tester (CTFL). She is the co-editor of the book Software Testing in the Cloud: Perspectives on an Emerging Discipline (IGI GLobal, 2012). Tauhida holds a PhD in Computer Science from the Florida Institute of Technology.
Riassunto
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.
