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Top 5 Software Testing Trends to Look Out in 2020

  1. Growing Use of Technology like Machine Learning and Artificial Intelligence
  2. Digital Transformation
  3. Transition to the Cloud and Increasing Adoption of IoT
  4. Performance Testing to Performance Engineering
  5. Big Data Testing

With the acceptance of digital technologies, software testing has taken a new spin. Organizations are increasingly considering approaches like Agile and DevOps, which encourage collaboration between testing teams and development teams. According to Gartner, by 2020, the costs of developing the IT industry will grow from 3.76 to 3.87 trillion dollars. Thus, IT plays a crucial role in our lives.

The global software testing market is also expected to grow at 14% CAGR (Compound Annual Growth Rate) by 2023. With the improvement and progress in the software methodologies and widespread acceptance of DevOps and Agile, software testing has evolved into a robust practice.

Considering the current trends in technology and testing, we have projected top 5 software testing trends to look out for 2020:

1. Exponential Use of Technology like Machine Learning and Artificial Intelligence
Machine learning (ML) is the next exponential tech trend, and it is knocking on the front door. It has already led a revolution in the development sector and use of applications. Certainly, the market for machine learning is projected to grow from $1.41 billion to $8.81 billion by 2022. There will be more testing solutions for recurring tasks.

Major tasks performed by the adoption of Machine Learning:

• Optimizing the Test Suite – unique code checks

• Forecast – Prediction of the main test configurations

• Log Analytics – Identification of checks that can (or could) be executed automatically

• Defect analytics – Discovering high-risk application points for prioritizing regression tests

The market scenario for artificial intelligence is also growing faster. It is anticipated that by 2025 it will attain 190.6 billion dollars. This suggests that the IT business is progressively moving to machine learning.

Influence of AI on testing optimization. Source of the image

Artificial Intelligence shows that the evolution of software testing is entering a new phase, the benefits of which have yet to be learned.

2. Digital Transformation
 According to the World Economic Forum, the value of digital transformation for both society and industry could reach $100 trillion by 2025. Enterprises continue to undergo intense digital transformation and become more dependent on new-edge technologies. This sets high requirements to the stability and reliability of software. Hence, the significance of software quality assurance increases as well.

The share of IT budgets spent on Quality Assurance has full-fledged improved by 35% since 2015 and is predicted to face another increase by 2020. At the same time, digital transformation presupposes experimenting with digital features, which calls for the agility and flexibility of the development and QA processes. Therefore, quality assurance faces contradicting demands for flexibility and stability, which sets a challenge for QA managers. They continue to search for non-trivial means of setting QA processes in a way that allows meeting both requirements. Know Top 10 Software Testing Companies in USA.

3. Transition to the Cloud and Increasing Adoption of IoT
With great stability, a growing number of enterprises move data storage and processing to the Cloud. According to the current research by Sogeti, 75-76% of all apps are cloud-based. At the same time, organizations are progressively adopting the Internet of Things (IoT) as this technology gives access to previously unavailable customer data and allows enterprises to make informed business decisions on the basis of data. The same study by Sogeti reports that 95-97% of the examined enterprises have implemented IoT solutions in any way.

Quality assurance for IoT and cloud-based apps calls for extreme specialized skills of QA team and QA engineers to better understand these apps’ implications on company’s business procedures.

The IoT creates a new height in systematic software testing. The following kinds of checks will be conducted in the IoT zone:

  • Scalability Testing
  • Testing the Compatibility of Device Versions
  • Monitoring Connection Delay
  • Safety Analysis (Device Authenticity, Availability and Accuracy of Authorization)
  • Data Integrity Evaluation

Despite the ever growing role of the IoT, 34% of the World Quality Report revealed that their products have Internet of Things functionality, but they still do not have a testing approach.

4. Performance Testing to Performance Engineering
Whether it is SMEs or big giants Performance Testing will continue to bring results and guarantee robustness. By 2020, performance engineering is gradually expected to replace performance testing methods. Performance Engineering evaluates customer experience, which results in commercial viability. Furthermore, it is significant to gauge the product performance to build robustness even in a crisis condition. Dates back the task of software testing was to assure product performance, however, now it is not sufficient to pay attention only to this element. Additionally, it is significant to focus on other elements like customer value, convenience and practicality of use, and configuration quality.

5. Big Data Testing
The trend of big data testing has been fueled crucially because of the robust procedures that various enterprises are following to churn out the best of marketing strategies. Acknowledging this fact, we must claim that the need for testing big data apps will witness a new height in 2020. In Big Data testing, software testers have to verify that terabytes of data are processed effectively using commodity cluster and other supportive elements. This kind of testing focuses on functional testing and performance testing. The quality of data is also a crucial factor in big data testing. The data quality is checked on the basis of distinct traits like consistency, validity, conformity, accuracy, data completeness, duplication, etc.

In addition, manual testing is gradually being replaced by automated testing. In 2020 we will see a hybrid of these two types, since there are still not sufficient tools to completely automate data processing and monitoring. But in subsequent years, it will be possible to see an almost complete replacement of manual testing with automatic.

Software testing companies will evolve into new dimensions by 2020 and the QA tester will have to grow to fill in larger shoes in future. The software tester will have to compete with a varied IT landscape, filled with new-edge technologies that demand automated, continuous integration among other traits, rooted deeply in the basics of software testing.

 

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8 DevOps Trends to be Aware of in 2020

  • Automation will become the major focus
  • Shifting attention from CI Pipelines to DevOps Assembly Lines
  • Rise in Artificial Intelligence (AI), Data Science Boost
  • Concept of “everything as code”
  • Hype in using Server Less Architecture
  • Automation through AI and Data Science
  • More Embedded Security
  • Kubernetes has evolved significantly

According to a collective study, DevOps market generated 2.9 billion in 2017 and the market is expected to reach at $6.6 billion by 2022. DevOps has become a key focus and has shaped the world of software and many experts predict that DevOps is going to be the mainstream and is going to reach its peak at 2020.

Enterprises are not only showing interest in DevOps but are gradually adopting DevOps-related practices and technologies. As per Hackernoon article citing Statista, there was a 7% boost in DevOps adoption from 2017 to 2018. DevOps software market is projected to grow from $2.9 billion in 2017 to $6.6 billion in 2022 (source: estimates from IDC).

DevOps Projected Growth 2019

Fig: Google trend is shown for “DevOps” and a hypothesis of its estimated growth in 2019.
DevOps offers the following benefits:

  • Fast response towards an amendment
  • Offers great speed and makes the security arrangement more agile
  • Establishes a perfect channel of collaboration and communication
  • Fast identification of bugs or vulnerabilities in the code
  • Team can effortlessly put their sole attention on other critical things instead of focusing on security features

Many enterprises are adopting DevOps and there is a boost up to 17% in the year 2018 than what was about 10% in the year 2017 (according to Statista)

Image source: Statista

Predictions of 8 DevOps Trends to be aware of in 2020:

1. Automation will become the major focus

Companies that have already implemented DevOps have seen high efficiency and faster deployments. When it comes to DevOps, DevOps automation is what we talk more about. Zero-touch automation is going to be the upcoming future. Understanding the 6 C’s of the DevOps cycle and to apply automation between these phases is the key, and this is going to be the major objective in 2020.

2. Shifting attention from CI Pipelines to DevOps Assembly Lines

The final goal of DevOps is to improve collaboration between planning and automation of the delivery procedure. It is not just about doing Continuous Integration (CI) but it is all about CD (continuous delivery). Companies are investing extra effort and time into understand about automating their whole software development process. In 2020, the attention is going to shift from Continuous Integration (CI) pipeline to DevOps assembly lines.

Advantages of Assembly Lines:

  • Powerful nested visibility
  • Native integrations
  • Fast on board and scale with “as-code” philosophy
  • Perfect CD (continuous delivery) with interoperability
  • Team-based business intelligence and analytics

3. Rise in Artificial Intelligence (AI), Data Science Boost

Growing number of Artificial Intelligence-driven apps will push data science teams to look for DevOps philosophy in their workflows. DevOps method is expected to be their prominent option in dealing with automated pipelines, maintaining, and testing multiple deployed models in the production chain.

This is going to boost further as data science & development teams move closer for high efficiency in development, deployment & managing AI & ML-driven apps.

4. Concept of “everything as code”

We cannot deny the fact that coding has now become the backbone of the IT sector. Understanding various DevOps tools and automating scripts plays a crucial role in the software development and this is going to dominate in 2020. The future of this industry depends on the technical capabilities of the developers, testers, and people of the operation.

Since, DevOps is all about easing the delivery cycle, there is a need to bring in the code which can be used to increase the software production cycles efficiency. The thought of “everything as code,” is DevOps’s built-in practice and it can be present in the SDLC to create a wave in the DevOps trend 2020. Software Testers are likely to suffer if they do not learn to code and write their test scripts.

5. Hype in using Server Less Architecture

DevOps can be reached to the zenith level with server-less architecture. This is not free of server; however, there is a cloud service which takes care of the complete architecture. This extraordinary architecture allows the software developers to concentrate focus on the “Application Part”. BaaS and FaaS are the two critical aspects of the server less architecture. By employing server-less architecture, you can save time, cut down the costs, and ensure resilient work flow.

6. Automation through AI and Data Science

The main objective of 2020 is zero-touch automation. The continuous increase of Artificial Intelligence and Data Science has become a game-changer. Various apps are fueled with AI, which is pushing DevOps teams to seek automation possibilities to discover prospects within their workflow streams.

7. More Embedded Security

With the exponential growth of security breaches and the bad impacts to the company’s reputation, cyber-security has become business imperative. In 2020, DevOps will rapidly include security.

Recently we have seen a buzz trend of DevSecOps. DevSecOps is all about injecting security first in the app development life cycle, therefore decreasing vulnerabilities and improving business reputation.

The shift to DevSecOps will also bring great collaboration in software development. It will ensure the development processes remains flawless, efficient, and effective.

8. Kubernetes has evolved significantly

Kubernetes has turn out to be the top growing container technology. Globally, technologists and CIO’s have preferred Kubernetes because of its offerings and it is expected to grow by 2020. This year, we saw the adoption of Kubernetes take off as companies of all sizes embraced containers for running cloud-native apps. In 2020, we will start to see container orchestration software replacing several old DevOps functions.

Solution- How can we help you?

Whether it is all about offering software development services or other services, DevOps has become the inevitable part of any organization. By staying up to date with the newest trends, you set your business up to get the enormous benefits from DevOps.

As an industry leader in DevOps Testing Solution, ImpactQA give holistic agile and DevOps adoption services across diverse domain segments, backed by its dedicated DevOps Continuous Testing practice. We implement a robust plan to manage both resources and testing tools in a new environment and to facilitate continuous testing and delivery.

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