Keyword-driven And Hybrid Testing For Automation: Advantages And Issues

Keyword-driven testing benefits and challenges

Discuss about the Design Decisions For Cloud Computing Service Models.

Automation has been a technology that has been ever growing since the last decade. The global acceptance of the technology has forced increase the growth in usage of automation. Two strategic approaches that are technically efficient for testing the automation are as follows: –

• Keyword Driven Testing Framework.
• Hybrid Testing Framework.

Keyword-driven testing is a standardized automation technique used for functional testing of the automation framework or specific word accessed testing. In Keyword-driven testing, a table format is being used. Spreadsheets are mainly used to approach the testing of the automation infrastructure and the specific function is used to perform actions that are to be executed (Lewis, 2016).

The advantages of Keyword driven testing framework are it is easy to create a Key word driven test, applying key word driven test to the testing of the automation is faster and easier than the testing of the entire scripts, providing efficiency to the testing approach. The other advantages are creating automated tests are much easier with the key word driven testing infrastructure and creating test batches that are automated in nature utilizing the logic generated during the key word driven test.

The main issues of Keyword driven test are that different result are viewed in case of accessing of the automation through different browsers.

Hybrid testing of the automated infrastructure is a type of testing that increases the efficiency of the framework over the time (Peng, Huang&Husain, 2017). This proficiency of the testing methodology gains importance as the information are checked using the referenced information that are previously stored in the system.

The main benefits of Hybrid testing framework are reusability of the framework, adaptability of the hybrid testing framework has been used as its speciality as usage of this kind of framework is easier than other frameworks (Wu & Wang, 2014).

The main issues of Hybrid testing framework are high infrastructure complexity is the only major issue of the hybrid testing framework, the testing of the framework requires skilled and educated stuffs which is difficult to find as a labourer.

Hybrid Testing Infrastructure is the recommended way for automation in Regional Gardening ltd as this automation testing framework is most successful in nature has the ac1commodation of testing of the grammatical error as well as the perfection level of the spellings being used in the project including the information unit. Another reason to recommend hybrid testing framework is the readability of the framework is easier than the other networking frameworks, the maintenance of the entire system is easier than most of the testing frameworks. This framework does not face issues like Selenium tests often fails, no alteration in the process can be implemented in case of Keyword testing process, and in case of open system sources documentation of the project poses least accuracy in the automated.

Hybrid testing framework advantages and issues

Cloud Computing has been gaining global acceptance in today’s society.

The differences between the infrastructure of IaaS and PaaS are as follows: –

• IaaS is claimed to be a built it yourself infrastructural approach. With the aspect of infrastructural approach makes the list of Amazon web services and the platform oriented application, each personnel might have access to the integrated and specific set of tools. These tools helps in developing applications and helps in managing the procedural application. Whereas in case of Platform as a Service, it provides the complete development package that is the specific platform oriented application (Yamato, 2017).
• Information at a Service is considered to be a low level infrastructure, whereas in case of Platform as a Service is considered to be a medium to high level infrastructure.
• Infrastructure as a Service is considered to be a tool that is required for developing an service oriented application that will be dependent on the cloud computing platform where as in case of Platform as a Service is considered to be a tool that is utilized for maintaining and supporting the preconfigured tool that is dependent on the cloud computing platform (Kavis, 2014).
• During the usage of Infrastructure as a Service the developer who has been linked with the managing of the infrastructure of IaaS needs to manage the execution of the entire process and maintain the entire data base of the operating system of the cloud based platform, whereas in case of Platform as a Service can be automatically connected with the fully serviced gas stations relayed with the application development managing services.
• In case of Infrastructure as a Service the entire infrastructure needs to be built and no instance of previously built infrastructure can be used, leading to the fact that the infrastructure is built specifically for the distinct infrastructure and is configured to its specific configuration, whereas in case of Platform as a Service the quadrature of the infrastructure is assembled together in order to get the infrastructure getting completely structured. The assembling of the quadrants are the way of creating a PaaS infrastructure.
• The basic layers of cloud computing is useful for the administration of the Infrastructure as a Service whereas in case of Platform as a Service middle layer of the cloud computing enables the development of the infrastructure of the cloud computing platform.
• Access to the IaaS requires a lot of knowledge regarding the performance of the IaaS infrastructure as due to the lack of robustness in the platform, the infrastructure is able to support further development in the infrastructure for specified task whereas in case of PaaS the knowledge of coding must be present in the core requirment of the employment of the aspired employees (Crago & Walters, 2015).
• Ciska, Metapod are the few examples of IaaS where as Apperanda and Heroku are few examples of PaaS

Cloud Computing has been gaining global acceptance and the technology has been ever evolving in nature. The cloud computing infrastructure is subdivided into 3 broad categories namely: –

• IaaS
• PaaS
• SaaS

IaaS	PaaS	SaaS
·         Infrastructure as a Service is abbreviated as IaaS. ·         Virtual platform is deployed in this type of infrastructure (Stavrinides & Karatza, (2015, August). ·         Includes storage as an extra service with the virtual platform being deployed. ·         Amazon web services, Cisco Metapod, Microsoft Azure are the examples of Infrastructure as a Service	·         Platform as a Service is abbreviated as PaaS. ·         Operational Environment is completely relevant for this type of infrastructure. ·         Does not include storage services to the platform in which they are being deployed. ·         CRM, ERP are the examples of Platform as a Service.	·         Software as a Service is abbreviated as SaaS. ·         Operational Environment is completely irrelevant for this type of infrastructure. ·         Does not include storage services to the platform in which they are being deployed. ·         Windows, LINUX, .NET, J2EE are the examples of Software as a Service.

Infrastructure as a Service is the most recommended infrastructure for the Regional Gardening Limited.

• Cost saving

The most exciting benefit of Infrastructure as a Service is the fact that the setting up of the infrastructure is very low and the lowest among the other infrastructures of the cloud computing systems including the likes of the Platform as a Service and Software as a Service (Ferrer & Lastra, 2017).

• Scalability and flexibility

Ability of scaling up of the IaaS is one of the most exciting feature of this cloud based infrastructure. IaaS is powered with the largest storage system and powerful servers and networking which acts decisive in completing the needs of the clients (Zhang, et al 2017).

Privacy of the infrastructure is not robust as it should be. To overcome this issue one must ensure the infrastructure is not needed for the Infrastructure as a Service for the Regional Gardening ltd. Technically very complex in nature incase of IaaS. To overcome this issue one must install the IaaS the company is free from maintaining the infrastructure and the infrastructure of the previous set up is no longer the liability of the organization. High dependency on vendor lock in. To overcome this problem ne must provides the infrastructure related to the flexibility which provides greater agility to the product, leading to the ability of responding to the ever changing technology that is constantly evolving.

References

Crago, S. P., & Walters, J. P. (2015). Heterogeneous cloud computing: The way forward. Computer, 48(1), 59-61.

Ferrer, B. R., & Lastra, J. L. M. (2017). Private local automation clouds built by CPS: Potential and challenges for distributed reasoning. Advanced Engineering Informatics, 32, 113-125.

Kavis, M. J. (2014). Architecting the cloud: design decisions for cloud computing service models (SaaS, PaaS, and IaaS). John Wiley & Sons.

Lewis, W. E. (2016). Software testing and continuous quality improvement. CRC press.

Peng, C., Song, X., Huang, A. Q., & Husain, I. (2017). A Medium-Voltage Hybrid DC Circuit Breaker—Part II: Ultrafast Mechanical Switch. IEEE Journal of Emerging and Selected Topics in Power Electronics, 5(1), 289-296.

Stavrinides, G. L., & Karatza, H. D. (2015, August). A cost-effective and qos-aware approach to scheduling real-time workflow applications in paas and saas clouds. In Future Internet of Things and Cloud (FiCloud), 2015 3rd International Conference on (pp. 231-239). IEEE.

Wu, B., & Wang, T. (2014). Model updating with constrained unscented Kalman filter for hybrid testing. Smart Structures and Systems, 14(6), 1105-1129.

Yamato, Y. (2017). Optimum application deployment technology for heterogeneous IaaS cloud. Journal of Information Processing, 25, 56-58.

Zhang, S., Liang, Y., Qian, Z., Xiao, M., Wu, J., Kong, F., & Lu, S. (2017, June). Networklet: Concept and deployment. In Distributed Computing Systems (ICDCS), 2017 IEEE 37th International Conference on (pp. 2624-2625). IEEE.