AI & ML in Agile Methodologies

The coherent usage of artificial intelligence (AI) and machine learning (ML) in agile methodologies creates an ideal data analysis method. Such collaboration allows software teams to achieve better productivity and efficiency associated with testers and developers. AI & ML together delivers real-time information. Ans also offers a precise prediction of the expected time of the release phase of the project. The inclusion of innovative technologies such as robotics, IoT, quantum computing, etc., is much possible with AI & ML in the software development process.

Sun Technologies’ agile approach with AI & ML provides a good understanding of the best methods for creating testing code. Our experts evaluate code and associated tests to remove bugs. We use innovative technologies for accelerating software development & time-to-market.

Software Quality Engineering 

When you manage testing tasks in an agile environment, the dependency on quality engineering is more. What is the dissimilarity between quality engineering and quality assurance? Quality engineering deploys continuous testing of the related product with the extensive implication of automation. It ensures that the product is placed under efficient testing to make it error-free.

Benefits:

• Provides faster feedback on the software product because continuous testing is done across various platforms and operating systems
• Minimizes software failures and availability of early feedback

Shift-Left Testing Approach

The shift-left process emphasizes various types of testing performed simultaneously with software development— testers collaborate with developers to frame test cases. The method also includes what-if scenarios, and the tests are used for streamlined development.

In the usual software development process, the incorporation of testing is seen as a blockage to the release process. Testers operate on less time due to tight schedules, thereby hindering testing efforts and identify errors. However, by the shift-left process, testers get a sufficient amount of time to test the software’s usability by comfortably teaming up with UI & API developers.

Benefits:

• Faster time-to-market for early release
• More rapid identification of bottlenecks to avoid software failures
• Provides high performing software under minimal time

Agile Test Management

For any software testing services, the collaboration of testers and developers is a must. Such cooperation includes the structure, execution, and report of testing once the results are out.

The agile test management’s involvement helps determine the processes and tools that allow the overall team to maintain testing progress. The process brings together everyone on the same path. For experts working in distributed environments, a cloud-based test management tool’s availability confirms easy access to testing information anytime and anywhere.

Benefits:

• Allows team members to trace testing efforts and increase collaboration
• Minimizes the bugs and accelerates the release of high-quality software
• Ensures real-time feedback

DevOps Process 

The concept of DevOps is based on lean management. It concentrates on combining development and operations to create a suitable environment. A DevOps approach refines the software development lifecycle and eliminates junk, and accelerates software delivery. The combination of Agile and DevOps can fine-tune team relationships and communication, thereby minimizing software failures. Moreover, DevOps skillfully combines continuous testing into the development process to ensure code quality.

Benefits:

• Set up a proper collaborative culture
• Integrates development and testing processes 
• Combines operations within the team to reduce downstream testing concerns

Continuous Testing 

The process of Continuous Testing includes redundant executing tests that deploy testers into cross-functional teams. This arrangement helps refine testing functionalities and offers rapid feedback. Continuous testing supports early testing along with shift-left, agile test management, and quality engineering.

Benefits:

• Reduces software failure by early detection
• Enhances software quality through ongoing reviews and reports
• Improve test suites to identify business risks

Lean Portfolio Management 

Lean portfolio management follows a different methodology that focuses on streamlining operations to measure outcomes based on organizational goals and planning. It mainly follows a continuous process used to assign tasks within teams based on the priority and well-organized strategy.

As per Lean portfolio management, the paramount importance is on the collaboration running from top to bottom, covering factors connected with goal measurement, planning, and work transparency.

 Benefits:

• Enhances the relationship between organizational strategy and individual projects
• Fine-tune business value to get clarity about the software 

Businesses cannot ignore the impact of agile testing in today’s progressive testing environment. Therefore, technological upgrades to enhance agile testing is the main motto for most software companies. At Sun Technologies, we deliver world class QA services. Get in touch with one of our solution consultants today to understand your business requirements and find suitable solutions. Discover more about the various attributes of agile testing with us