Shaping up for 2018 – five predictions for the software testing industry

software-testing-industry-predictions

With 2017 nearly over, organizations are hotly anticipating what the new year will bring in terms of trends, developments and hidden surprises in the software testing industry.

For the software testing industry, it’s been a busy year. Increased automation adoption within testing teams – where agile development boosted speed of release – has led to QA becoming more embedded within development teams than ever before. As software testing and monitoring gains increasing importance, it’s time to ask – what’s next? Here are my 2018 predictions for our industry:

Bigger AI breakthroughs

Next year, we’ll see businesses really make breakthroughs when it comes to utilizing artificial intelligence (AI) and machine learning – namely to better understand captured data.

It can be difficult to see how wider concepts such as AI manifest physically – intelligent objects or ‘things’ bridge that gap. In the past, connected devices sent data for limited processing; today, machine learning enables devices to transform that data into tangible insight, transforming the behavior of IoT devices worldwide.

UX monitoring will be key

With 2017’s major outages in mind, it’s clear the industry has not progressed quickly enough to address exponential IoT and API economy growth. Although some businesses are achieving great things in testing and monitoring terms, many organizations are still focusing efforts on speed instead of quality, security and resilience.

Looking ahead to the new year, companies need to address the overall quality of their services to remain competitive. Consequently, we’ll see a shift in focus to monitoring the customer experience, as well as the need for thorough end-to-end testing, embedded within the delivery lifecycle.

Differentiation will come down to availability

If 2018 sees vendors offering similar capabilities, how will consumers decide where to spend their money? Differentiation of services will come down to availability, ease of use and a consistent, high quality experience.

Increased reliance on IoT devices, their data and their management will also drive the need for high availability of the API services that these devices interact with. Monitoring availability of these APIs is key to ensuring that organizations can run – especially in the manufacturing space – and that business intelligence data can be trusted by leaders.

The CMO role will evolve

Historically, software testing and monitoring has been the responsibility of the IT department, be that the development teams for testing, or operations on the monitoring side.

Next year, with digital transformation underway in most organizations, in addition the explosion of connected devices and data processing derived from IoT, focus will shift onto application quality as well as customer experience.

Thus, testing and monitoring should be of keen interest to the COO and the CMO: this will result in more rounded testing with team members coming from different parts of the organization. That’s a potential step change in the type of testing that would occur.

Validation of results will transform

In 2018, we will see further adoption of AI: major software vendors will increasingly embed machine learning within their core applications.  In addition, machine learning will become a standard platform for data analytics for new development initiatives – benefiting IoT vendors most of all, due to the explosion of data in the market.

This will challenge the testing community as new ways of testing and validating the results from AI need to be identified.

Although I have confidence in these predictions, I’m aware that there will be events in the new year that no one in the industry could foresee. However, we at Apica look forward to the challenge. Here’s to a successful 2018!

 

Carmen Carey
Carmen Carey Carmen Carey is the CEO of Apica. Her career to date encompasses leadership roles as an executive in fast-growing global technology companies. Prior to Apica, she scaled and exited Big Data Partnership and ControlCircle as CEO, and was COO of MetaPack, COO of MessageLabs and VP of Global Services at BroadVision.