With enterprises becoming more agile, there is a growing need for open source tools and algorithms to automate as well as create a touchless testing process for software. Therefore, it is believed software testing is one thing but AI and IoT take it to the next level. AI becoming the new normal in technology, many of business risks leading to operational efficiency has been eliminated.
In fact, Kishore Durg, Managing Director and global testing lead for Accenture says Software testing today still struggles with over-engineering efforts that can result in anywhere from 30 to 50 percent of wasted time and effort. However, a significant development in analytics, artificial intelligence, and data visualization has not only made possible to find areas of inefficiencies but also eliminate them to a great extent.
Besides, consumers are more digitally savvy than ever before. They – all of us, really – expect more from technology, requiring it to become more intuitive and deliver greater benefits.
For example, the rise of voice-based interfaces like Siri, Alexa, and Cortana. Similarly, test-led chatbots are now increasingly used to handle consumer-facing customer service inquiries and sales online.
As a result, for software testers, change is inevitable and unlikely to stop anytime soon.
Software Testing, Still a Formidable Career Choice?
History says software testing was seen by its peers in the world of IT as a second-rate career choice. People preferred to become a developer instead of struggling as a tester.
Basically testing was seen as a simple career choice – after all, one only needs to be slightly computer literate to use the testing tools – these will do the job for the tester! To some extent, this was true for manual testing.
Well, the tables have turned now! In today’s digital era, where speed is given more importance than quality, where the lines between development and operations have blurred, software testing has taken the stage! But the sand is rapidly shifting under their feet. Software testers now need to become quality engineers.
They need to be able to embrace a range of tools and frameworks. Cognitive artificial intelligence and predictive defect management should be the basis of their craft.
This is a time where software developers could aspire to be a ‘step up' to reach the world of software quality engineering!
Need for AI in software testing
Lack of infrastructure and the need for faster deployments have led to AI making its way in software testing. Testing comprises of mainly three aspects- manual testing, user acceptance testing and testing in real-world customer environments.
By doing this, one definitely receives an overall view about the quality of the product.
Jason Arbon, CEO, Appdiff has a similar view on the pressing need for AI in software testing. He cites how “hand-crafted scripts need management of many machines to run, or many human hours to execute.” Handcrafted testing just can’t keep pace with the development cycle and cannot scale, on the other hand, AI bots can discover all the new features and paths through the product and require little maintenance.
Another key point highlighted by Arbon that 80% of the testing is the repetition of same checks of features your software had earlier, the worst part is spending tons of human resource and cost for manual testing for a work that could be done by AI.
What Are The Latest Emerging Testing Trends?
- Digital testing- The exposure of digital technologies like Big data, cloud computing, mobile devices, etc has emphasized on the concept of digital testing across the globe. Faster releases, digital transformation speed, depletion of time-to-market life cycles are enhancing the importance of Quality Assurance and Testing for recognized software testing service providers in town.
- Performance engineering- Also known as software/System Performance Engineering (SPE), it is systematic quantitative and software-oriented approach to focus on architecture, design, implementation choice, and cost-effective software development process to meet performance requirements on time and within budget.
- Open innovation- These days open source testing tools are pretty much in demand as developers can easily modify as per their project requirements and share because its design is publicly accessible. Open source technology and open source thinking benefit both the programmers and non-programmers. Its major features include reliability, stability, auditability, cost, flexibility and freedom, support and accountability.
- Security Testing in the age of IoT- The concept of IoT technology encloses any and all software/applications that are connected to the internet or to each other hence performance, security, compatibility & exploratory are four major IoT testing criteria. Here testers need to identify major threat areas web interface and user authentication processes in network-related concerns. Static and dynamic testing of IoT-connected devices should be performed thoroughly and ensure the establishment of the minimum baseline for security.
So that’s all for now! If a company is aligned with the latest technology trends, it is meant to offer an impressive level of success to its valuable clientele.
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