Dr. Tamaro Green, DS Computer Science
Software Test News
Reporting features of an automation workflow can be revised to include image analysis capabilities. The reporting feature as part of image analysis can implement some of the data streaming libraries available in the languages of the framework. The image analysis provides certain data points that can be refined to get more accurate data from screenshots of an application under test. Data points for image analysis can include metrics about the images that support comparison with existing images, events for when images are stored, logs of the image files, and traces of the screen capture process.
Data management of the images for analysis can also include the stream monitoring and analysis of the images from the data runs. Profiling the image data includes steps of pre-processing, processing, and analyzing the images. The open source solutions available for image analysis are sufficient for the application of this feature. Additionally, many image analysis algorithms can be refined to support this process. Software automation teams may also develop some image analysis algorithms specifically for this purpose.
Another task in the technique of image analysis is integration with virtual machines. The virtual machines are capable of accessing repositories that are designated for storing the images of the application. Virtual machines also have to be enabled with any libraries necessary for capturing browser screen shots. One of the limitations of the virtual machines is that these libraries may differ from operating system to operating system. Scripts can be developed that can assist in migrating from one language to another is part of process automation. Process automation reduces the human tasks in maintenance and updating of the automation framework. Process automation of the conversion can employ scripts for the automated testing.
Templates for scripts may include a comments and annotations to support mapping the parameters, inputs, and outputs from one language to another. The scripts can include declarations and functions that are common for both the input and output language. The parameters can also be transferred from tests to text files for easier transition during conversion of automated tests.
Process automation may also integrate low code and no code platform technologies. Low code and no code platforms apply workflows to repeated processes for automation. The development of low code and no code platforms to support automation may optimize tasks such as virtual machine configuration, version control management, and test management. Some of the challenges with the virtual machine include configuration of proxy servers and firewalls on the virtual machines. These areas continue to be less problematic as improvements are made to many of the operating system libraries in this area. The virtual machines provide opportunities to add more reliability to the tests by managing system resources more efficiently. The virtual machines as a component of test framework design provide greater capability of the tests across operating systems and platforms.
Improvements to workflow processes may orchestrate the development of an easier to maintain and more efficient software automated testing framework. Modern programming libraries increase capabilities for analysis, maintenance, operation, and transformation. Further orchestration of the workflow processes provides greater ways to improve optimization of automated software testing frameworks.