Quality Assurance & Testing
Tailoring Agile Software Quality Assurance Model for Effective Software Testing
Agile Methodologies are known to focus on delivering quality software. Agile has been adopted by companies as a response to the growth dynamics of customers as well as business needs. A myth that has been passing on about agile is the risk of not obtaining high performance and high availability in the project. The reason being the integration and utilization of the conventional quality assurance models and techniques.
Moreover, agile enterprise software development methodologies are considered to be used for only non-critical projects. It is also considered promising when utilizing it for heavyweight inspection methods.
Here, we will investigate and comprehend how comprehensive agile techniques can ensure successful quality improvement of a project and reduce overall cycle time and gaps.
The agile methodology works on small sprints that determine the timely completion of tasks and testing them for further processing in a project. Enhancements and timely upgrades assure the team about moving in the right direction. Agile software development focuses on small but valuable deliveries by collaborating with customers as well as resources each time.
But, when comparing Agile methodologies with other software QA services, we can see a few loopholes. These loopholes can be eradicated with effective techniques and best practices.
Also read: Agile & Scrum Methodologies
Challenges in Software Testing and QA in Agile
Organizations, in order to deliver exceptional services, focus on quality thereby, spending a lot of time & money on testing the software.
Agile methods emphasize following constructive quality practices. These practices are bound by short-span of a development life cycle, focusing majorly on customer satisfaction. What lacks in these practices are - proper planning to achieve success, right tools, processes, and documentation for efficient quality.
Other than these,
- A developer lacks the requisite time to test and provide assurance of the quality of project components.
- Adapting to the changing needs of the software at all stages can be challenging. The conventional basis for test design and QA is generally defined after the completion of specifications, but sudden changes can hinder testers from delivering the expected results.
- Face-to-face interaction of customers with the team at all times creates an expectation for customers, which sometimes becomes a challenge for the team. Close collaboration often hinders the work. Verbally mentioned tasks instead of following the documented tasks can create pressure on the developers, which leads to delays.
- Lastly, developers are more focused on adding the work to their list, which reduces the time to test the core product. They are more focused on the functionality of the software rather than focusing on its quality.
Activities Ensuring Organizations for Utmost Quality
Many organizations have integrated third-party software to ensure quality and assurance. Some implement manual testing while many have switched to automated testing services. Some may hire a separate team of testers.
Through an integrated test server, developers get the warning about an error or a bug quickly, which can be fixed without loss of time and money. One of the best practices followed by the Agile testing team is through unit testing and regular integration testing in a sprint.
This is generally run on an integrated server by adding new test cases to the suite. Along with test cases, developers and testers also add the level of performance and stress to the suite. When ending the sprint, the final testing is performed as regression testing.
Other ways for testing the work of a dedicated development team is by collaborating with other teams as well as the customers in each sprint for quality assurance. Assigning a dedicated team leader to check and assure the tasks before sending them to the testing team can ensure productivity.
Turning Towards Automation Testing From Manual
Testing through human intervention is plausible. They work with logic as well as empathize before taking any action. Despite automation on the boom, manual IT consulting services are still necessary in order to guide machines to do the requisites.
However, machines have been integrated with deep learning and artificial intelligence to understand the mind of a human and perform similar actions. Yet, they cannot match the qualities, such as speculation, observant, patient, innovative, creative, open-minded, resourceful, and skillful that are present in a human.
Manual testing has a lot of challenges, such as cost of resources, time-consuming, errors & more due to which automation testing was evolved and highly adapted.
Earlier methods of testing ran on waterfall methods that suffered a lot of feedback loops. Automation testing is a result-oriented method that focuses on bridging these gaps.
It was evolved to make the entire testing phase easier and effective. Many companies still believe that integrating automation will cost them more than hiring a professional. In fact, automation reduces the loopholes or gaps and is less time-consuming. Its effectiveness is seen in unit testing as it can test even the smallest pieces of the system swiftly and accurately. The confidence of accuracy in results allows the developers to test repeatedly without giving extra hours of their work or exceeding the time frame.
Although automation has substantial benefits, integrating it with existing systems is a challenging task. These machines require pre-test creation for accuracy and consistency in their outcomes.
In such scenarios, the assistance of professional IT services can work best. They can suggest automated testing metaphors to the testers, giving them a design approach to test the system.
Testers handling automation must be vigilant in preparing designing principles and decide for scripts integration for regression testing emphasizing the refinement of the system or software. The aforementioned test cases can prove to be useful for capturing and storing assets that ensure satisfactory performance and less time consumption of the organization.
Best Practices to Implement In Automation Testing
Automation testing can prove fruitful with the proper integration of product engineering services consisting of planning tools and methodologies to empower Agile development.
Preparing your company to integrate automation for the QA process requires some best practices so that your service does not break down and you can always achieve accuracy and consistency in your deliveries.
1. Setting up a realistic outcome for your automation testing
Since the agile process follows small portions of project development that are defined as a test case, defining them can deliver the best outcome.
2. Set the outcome defining the test case
You can evaluate high-risk conditions, cost of the testing by studying different test case results. Defined test cases can also act as a base for configuration and testing repeatedly after every change.
Automating the repetitive task can encourage the testers to push their focus on interesting and critical test cases. This improves productivity as well as saves time. Additionally, you can integrate different types of software testing based on the objectives to ensure 100% quality.
3. Prerequisite script for controlled app testing
When testing an application, a tester must use various properties of the automation tools for controlling the application. A prerequisite script can define an object's location accurately. Any changes must be pre-informed to make changes in the script and receive a consistent outcome.
4. Underlining controls with a unique identity
Identifying the controls of an application can be made easier by providing unique names to the controls. Defined properties can help in setting search criteria, for instance setting up a fixed screen resolution to avoid any effects in the system testing.
5. Identifying strengths and weaknesses
A company before integrating automation tools must categorize pros and cons as well as strengths and weaknesses for managing automation testing. Assigning roles and responsibilities as per a team member's capability can help enhance productivity and better management of automation tools.
6. Planning future test cases
A properly planned and defined process can help decide for the case to be tested automatically. Identifying the set of automation tests can also serve as a guide for future test automation. Planning test cases for the future can also include regression testing, data-driven testing, configuration testing, and Back-end/Non-GUI testing.
7. Selecting the right tool
The most essential element for a reliable result from an automation tool is the compatibility of the tool with your current application. Training employees to work on new tools and technology can exceed the budget of the company hence, the tool yet to be used must be upgraded for compliance.
Also Read - 12 Best Web Application Testing Tools in 2021
Writing down the test cases before implementing them is a good practice. Ensure you document the standards for automation testing, such as standards for recording scripts and establishing naming conventions and comments for variables and scripts.
Comments and descriptions act as future references for the use cases. They can also be used as a variable, functions, subordinates, and branching structures.
Further, writing scripts can reduce the time consumed for maintenance. By adding a modular property, you can perform even the most complex testing and troubleshoot the issues easily.
In a Nutshell -
Integrating good practices, such
as unit and automation testing in Agile can take quality to a next level.
Organizing the testing process and instigating valuable and useful tools and
practices can ensure productivity with quality.
Outsourcing the qa software testing services or hiring a separate testing team can focus more on the problems, bugs, and errors while allowing developers to focus on the development part. Moreover, automated QA software services can reduce the manual work & assist in a better and faster testing process.
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