What Are The New Developments In Software Testing Services?

The unprecedented run of technology and digitization has brought enormous benefits for everyone.

Software development has become more sophisticated and is largely guided by market dynamics. With digitization ushering in a new age of consumerism and offering outcomes such as ease of access, speed and agility, convenience, and scalability, the process of software development has changed. The traditional SDLC has given way to Agile and DevOps with software application testing becoming an integral part of the whole workflow.

As new technological platforms and trends have taken centre stage and businesses adopting digitization in a big way, QA courtesy software testing services has undergone a change as well. In the test-driven SDLC environment, development and QA have become mutually complementary rather than exclusive. Thus, QA experts belonging to any software application testing firmshould adopt new developments in the field of testing. Let us find out what is new in the software testing servicesmarket.

New trends in implementing software testing methodology

With quality, cost, and competition becoming the guiding parameters for businesses in setting up their objectives, they need to adopt the latest software testing approach.

  • Test automation sans scripts: As changing customer preferences and competition demands quick release of quality software applications, businesses have included test automation in their testing arsenal. Automation helps to do away with mundane testing efforts and accelerates the process. However, one of the biggest challenges in implementing test automation is writing test scripts. This requires considerable expertise and experience on the part of testers, for any missing parameter would render vulnerabilities or glitches to remain undetected.
  • This is where scriptless test automation can address the challenge and enhance the scalability of testing - functional, regression, performance, etc. In scriptless test automation, QA experts get on with automating test cases without worrying about coding. This way, a lot of time that is likely to be spent on understanding and writing the code, can be saved.
  • Big data testing: With digital transformation picking up speed, a humongous quantum of data gets generated across business verticals. Since such data can have hidden vulnerabilities and glitches with wider security ramifications, these need to be tested rigorously. At the outset of big data testing, the quality of data is ascertained on the basis of factors such as integrity, redundancy, completeness, consistency, conformity, and accuracy. In this software testing approach, QA experts ensure the success of testing, especially performance and functional, using commodity cluster and accompanying components.
  • Artificial Intelligence: The advancements in Artificial Intelligence and Machine Learning (AM and ML) have been utilized by software testing services for quite some time now. These help in optimizing the testing scenario by generating better test data, cases, scripts, and reports. Smart analytics provided by AI and ML can help QA specialists to identify faults and the areas for testing. AI and ML can help in prioritizing such test cases and predict risks associated with a software release. In the ultimate analysis, taking the help of AI and ML can ensure greater accuracy in software application testing.
  • IoT testing: With digital transformation becoming a reality, the presence of connected devices communicating with each other over the internet has increased. Since the performance of these IoT components has a bearing on the overall functioning of a smart system, they need to be tested. The slew of tests associated with IoT testing checks and validates the usability, compatibility, scalability, performance, data integrity, and security of IoT devices. For example, the performance of a driverless car can only be successful and optimal should the various sensors embedded in the car function to their optimal level. Any glitch thereon can lead to unforeseen outcomes such as the car meeting with an accident.
  • Penetration Testing as a Service (PTaaS): Digital transformation is accompanied by security challenges as well. Of late, there have been cases of businesses and individuals being hit by malware, ransomware, trojans, and other attacks. This is where penetration testing can help by identifying the vulnerabilities in a cloud-based or in-house system. The PTaaS methodology helps in validating the entire technology stack used in an organization.

Conclusion

The software application methodology should incorporate the latest trends in testing to address the growing challenges of compatibility, security, and scalability. These trends would help businesses to deliver foolproof software applications and enhanced user experience.

Diya works for Cigniti Technologies, Global Leaders in Independent Quality Engineering & Software Testing Services to be appraised at CMMI-SVC v1.3, Maturity Level 5, and is also ISO 9001:2015 & ISO 27001:2013 certified.

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