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Über dieses Buch

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” (, and they encourage all readers to get involved in this exciting new area.



Chapter 1. Introduction

The research described in this book lies at the intersection of three key areas: software testing (specifically regression testing), cloud computing (specifically test execution in a cloud-based environment), and system migration. This chapter provides background information related to these three areas.
Scott Tilley, Tauhida Parveen

Chapter 2. SMART-T: Migrating Testing to the Cloud

Software testing in the cloud changes the traditional testing scenario by leveraging the resources provided by cloud computing infrastructure to reduce test execution time, increase the execution cycles available, and thereby increase the efficacy of testing to improve the quality of the application. Testing in the cloud relies on underlying technologies such as a distributed execution environment, service-oriented architecture (SOA), and hardware virtualization.
Scott Tilley, Tauhida Parveen

Chapter 3. HadoopUnit: Test Execution in the Cloud

This chapter describes the design, implementation, and use of HadoopUnit, a distributed environment for concurrent execution of test cases in the cloud. HadoopUnit leverages the distributed data processing framework called Hadoop, but is tailored for use in testing. The primary focus in this chapter is test execution in the cloud; other matters related to testing in the cloud, such as migration strategies or test design, are discussed elsewhere.
Scott Tilley, Tauhida Parveen

Chapter 4. Case Studies

Chapter 2 described SMART-T, a decision framework for migrating testing in the cloud. Chapter 3 explained HadoopUnit, a distributed test execution environment in the cloud. This chapter presents several case studies where SMART-T and HadoopUnit are used together to guide the migration of software testing to the cloud.
Scott Tilley, Tauhida Parveen

Chapter 5. Conclusions

Large companies such as Google are purported to have over 3 million test cases, with over 120 million tests run on a daily basis [27]. This is a truly impressive scale of regression testing, and perhaps not one that every company shares. For most, the number of test cases may not be in the millions, but there is still a need to reduce their execution time.
Scott Tilley, Tauhida Parveen


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