Top 5 Emergent Software Testing Trends for 2018

Posted on : 2/20/2018
  • Trends 2018

With the ever-growing software development industry being driven by digitization and new mobilization techniques, the software quality assurance industry is keeping up with the fast pace by adapting to the new emerging changes in the business. Quality assurance is one of the most critical phases before the launch of any product or service which promises that the company’s investments, the developer’s hard work, and all the associated activities are premeditated and executable in the market. According to the figures, Global Software Testing System Integration Market is predicted to elevate at a CAGR of +15% between 2018 and 2022.

To ensure that all the stakes are at the right place, the quality assurance team must be in sync with all the latest trends in the industry. With every new year, the software development industry is welcoming new trends to thrive well in the market. Consequently, to keep up the pace with the rapidly growing technological advancements, it is of utmost significance that the QA teams keep themselves updated with the latest trends in the industry. Here, we enumerate the five up-and-coming trends to follow in the year 2018.

1. Internet of Things (IoT)

With the speedy growth of the Internet of Things, the reach of the internet is reaching to one and all. The services that connect the hardware devices to the Internet or with one other must be updated with all the new trends in this arena. This can be done by testing such devices for the functionality, steadiness, and competence. A study conducted by HP reveals that seventy percent of the Internet of Things Devices are susceptible to safety glitches. Such devices are anticipated to be vulnerable to around twenty-five attacks per product. To be updated with the industry standards, the QA teams need to design and outline the software testing guidelines to follow such that they aid in combating the security risks involved in the projects concerning IoT and allied technologies in an efficient manner.

The most common issues to be countered include:

  • Unencrypted Communications
  • Software Security Hazards
  • Confidentiality Concerns
  • Authorization Issues

2. Automation Testing and Artificial Intelligence (AI)

To reduce the testing and delivery time involved in the project, the QA teams utilize test automation. Codeless test automation is a method that generates and executes tests automatically on the web or mobile app and does not necessitate the requirement of writing any code. This is a revolution in the software testing industry as it does not just reduce the efforts involved but also the time involved in the process. Additionally, reasonable utilization of AI emphasizes on the process of test management and the conception of test cases routinely. This helps in decreasing the level of effort, with built-in standards. AI focuses on generating test code or pseudocode mechanically by analyzing the user story acceptance measures.

The anticipated issues to be encountered include:

  • Identification of the required algorithms
  • Data Collection for bots-training
  • Endless Bot-training process

3. Big Data

With the growing expansion of the software testing industry, data-driven analytics combined with big data allows the businesses to accomplish the goals more effectually. Observing the trend, it is imperative to build a robust software testing approach for the big data involved in any business. The big data testing process requires a high level of testing expertise as the processing of such data is very fast and methodical which can have a direct impact on the outcome of the project. The Big data testing includes three kinds of processing viz. Batch, Real-Time, and Interactive.

The projected problems to be encountered while processing big data include:

  • Data Comprehension
  • IQ and EQ involved with the data
  • Accuracy and consistency
  • Data consistency
  • Huge Volume
  • Heterogeneity
  • Technical Expertise and Coordination
  • Cost and Time

4. Merger of Agile Methodology & DevOps

To improve the holistic performance of the businesses, the industry is utilizing a blend of agile and DevOps to reduce the time that is spent on the development and operations while working on the software testing phase of a project. Though Agile methodology and DevOps is not a new concept in the industry, its use has considerably increased in the upcoming years. To boost DevOps, automation developers are now working in agile teams for better functional outcomes. The main approach of a successful DevOps workflow is the seamless collaboration of all the teams. Additionally, blending DevOps with the agile methodology makes the process of testing more progressive, iterative, and integrated.

5. Open Source Technology

The upcoming era is bringing expansion of the Open Source Technology in the market. Apart from the cost benefits and its public availability, the open source technology can also be easily customized. This boosts the performance of any business and develops a progressive open source ecosystem. Open Source tools when used with other upcoming trends in the software development industry brings about great outcomes. However, there are some risks involved with this technology.

Two of the major issues include:

  • Hidden Charges
  • Safety Concerns
  • Complex Learning Curve
  • Platform Incompatibility with Open Source Tools
  • Irregular Updates or abandonment of OSS