Top Software Testing Trends in 2019

The introduction of new technologies has brought the current updates in the software design, development, software testing & delivery. There has been great progress in the software testing field with new software testing trends coming into IT industry services. Quality Assurance and Software testing have come a long way. From a gate-keeping quality approach to an active, more evolved, “fit-for-purpose” strategic role, QA is now quality engineering in a true sense.

Digital transformation is yet another significant point of focus for the industries and the enterprises are ranking high on cloud computing, big data, business analytics and. With the advent of DevOps and Agile development technologies, the software development business is undergoing major interference. The new addition is the agile methodology adoption to undertake a digital transformation. Agile methodology aids to align digital transformation initiatives with business requirements.

As we head into 2020, we can expect to reach critical milestones as various new software testing trends take hold. Are you ready to explore these trends in software testing? Here are the top software testing trends 2019 the ImpactQA team expects to see take shape in the year ahead:

1- Quality Assurance Shifts to Quality Engineering- Quality Assurance is now a complex field that covers a wide range of technology and skills. From automation testing and DevOps to pipeline integration, QA has evolved well beyond its initial scope. To keep pace with this evolution, we’ll see a strong shift from QA to quality engineering.

2- Increasing adoption of Agile & DevOps– To keep pace with this growth, enterprises are not looking at having centralized Test Centers of Excellence any longer. The erstwhile testing arena is making a shift towards quality engineering, & software testing is intended to become progressive, iterative, and flawlessly integrated with development.

3- High Level of Test Automation- According to a current study on automation testing trends, 44% of businesses expect to automate 50% or more of testing in 2020. Organizations see several benefits, counting improved test coverage, faster software testing cycles, and the ability to catch defects earlier. To maximize the scalability of test automation even, ‘Script-less Test Automation’ is introduced.

4- Big Data Testing- There is varied types of software testing in Big Data projects like Database testing, Infrastructure, Functional Testing, and Performance testing. Big Data defined as a high volume of data unstructured or structured. The quality of data is also a significant factor in big data testing. The data quality is checked on account of various traits like accuracy, conformity, validity, consistency, data completeness, duplication, etc.

5- IoT Testing- Gartner estimates the number of IoT devices worldwide will reach approximately 20.4 billion by the year 2020. Hyper-connectivity is taking across the globe and the number of connected devices is estimated to be 1 trillion (by the year 2025). IoT test approaches have also emerged & necessitated a varied set of tools and techniques altogether. The focus is on connectivity, usability, security, performance, and compatibility testing. The variety of testing for IoT systems are:

  • Compatibility Testing
  • Performance Testing 
  • Usability Testing
  • Reliability & Scalability Testing
  • Data Integrity Testing
  • Security testing

6- Performance Testing Shifts to Performance Engineering- Performance testing will be replaced by performance testing. Rather than executing test scripts, the focus will be on analyzing how each component of the system work together. The variety of elements of the system comprises security, performance, hardware, usability, software, configuration, business value, and the client. Performance engineering will assist in exceeding client expectations in 2020.

7- Robotic Process Automation (RPA)– Latest and new-edge technologies, like cognitive computing, the Internet of Things (IoT), Artificial intelligence (AI), and machine learning are revolutionizing all domains. Progress in software and Artificial Intelligence world has paved the way for Robotic Process Automation (RPA). It is the latest technology which can re-invent the business process management landscape.

Organizations face countless software testing challenges and choices these days as technology evolves and the digital economy grows. Adopting the right software testing trends, tools and processes will help organizations to stay competitive or on top of their game. Embrace the change, and lead the way to a better-progressive future.

Trends of ERP Testing to Watch for 2019

ERP (Enterprise Resource Planning) systems no longer necessitate any sort of introduction. For businesses, investing in a good system no longer is an alternative. It is a necessity. Enterprise Resource Planning systems have been a part of the business software landscape for a long time. Ever since their foray into the world of business, vendors are incessantly evolving them, so they are more powerful, robust, simpler to use, and affordable.

The 5 Major ERP trends that we should consider in 2019:

1.Competition from Disruptors- The Enterprise resource planning behemoths that have conquered the industry are encountering stiff competition from new, often Software-as-a-Service (SaaS)-only startups & the proliferation of fresh trends threatening to upset how enterprises collect and process data, and also operate. Renowned companies like FinancialForce (already having more than 1,300 Enterprise resource planning customers) and Kenandy are creating solutions based on the Salesforce App Cloud to make them alluring to users of the popular CRM and sales automation tool. On the disruption side, data visualization, big data, and artificial intelligence (AI) top the list of newest technologies that threaten to alter the way Enterprise resource planning systems are built and used. Enterprises looking to update their Enterprise resource planning systems in the year 2019 will need to become aware of to how their new prospects handle such trends. Database performance will be the core performance indicator (KPI) for Enterprise resource planning in 2019.

2.Enterprise resource planning, SaaS, & Hybrid ERP- Enterprise resource planning apps are stored on your servers, which mean you are responsible for long-term hardware maintenance, hardware costs and data backup and recovery. SaaS-based applications are stored on cloud-based servers, which are much less costly, very fast to upgrade and scale, and don’t take up clunky servers. Hybrid ERP systems are becoming famous in some sections as long-time Enterprise resource planning customers enjoy the ability to move certain Enterprise resource planning functions to the cloud while sustaining tight, on-premises control over other facets, particularly those most vulnerable to compliance regulation.

3.Focused on Social Media and Digital Marketing- These days, Enterprise resource planning is specifically focused more and more on functions than marketing, but those modules will need to become social media-savvy by the year 2019. Future Enterprise resource planning systems will need to be able to integrate direct marketing & data gathering links across manifold social media channels to remain on the top list and highly competitive.

4.The Internet of Things (IoT) is going to stay- As more and more products and devices become connected to the internet, more data can be instantly funneled into the Enterprise resource planning system, and that’s an advantage that can’t be ignored. This trend offers better oversight over things like the supply chain and appliance performance, and it also gives overall data pool for good decision making.

5.ERP for the Subsidiary- As more Enterprise resource planning systems are being delivered via the cloud, it is becoming far easier to deploy such SaaS-based tools incrementally. Rather than replacing ERP whole-hog, big giant companies are selecting one slice of the business and plugging in SaaS Enterprise resource planning on a trial basis. This approach lets businesses observe SaaS Enterprise resource planning performance to evaluate how it might fit into the existing on-premises Enterprise resource planning implementation—or whether it should replace on-premises Enterprise resource planning throughout the whole enterprise.