Key Software Testing Trends that you can anticipate for 2020
Businesses across the world are evolving every day to confront the market challenges and affect maturing customer expectations. Even the continued technology advancements keep twisting the arms of software testing experts for more attention and precision within the practice and processes.
The year 2018 brought into its fold new technology solutions and enablement for Quality Assurance and Software Testing. At an equivalent time, practices like Agile, DevOps, DevSecOps, and Test Automation continued to sustain its relevance and application through the software testing cycle.
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As the year ends, we will gauge some strong trends that are expected to rule the software testing and development scene in 2019. we've shortlisted prominent trends and that we would be glad to urge your views and value additions on this post also .
AI boost for Software Testing
A Forbes feature titled ‘AI In Software Testing: Will A Bot Steal Your Spot?’ mentions, ‘The trend of counting on technology for highly repetitive tasks while enabling people to specialise in high-value activities, like revenue generation, relationship building and growth management, is speeding up the pace of change.
Because much of testing space is repetitive, i think AI can easily be utilized in those areas. the rest are going to be left to the testers whose job are going to be to scrutinize the system and help work alongside AI to revolutionize the way testing is executed.’
This kind of paraphrases the necessity and significance of AI in Software Testing. Application of AI in Software Testing for speed and accuracy is sure to increase as we move faster with digital transformation of companies . Even Machine Learning is making strides in testing and software development processes, especially with Predictive Analytics, Log Analytics, Requirements Traceability Matrix, and Defect Analytics.
Digital Transformation with Continuous Integration
A lot has been extensively discussed and written about Digital Transformation during the last one year. Businesses are browsing tremendous digital change leading to numerous insecurities and challenges also .
With methodologies like Agile and DevOps, the testing process has become far more flexible and aware of the business needs. Nevertheless, the necessity for Continuous Testing, Deployment, and Integration will only increase because the business evolves further.
New features will need to be delivered during a gradual pattern, which can intensify the necessity for Continuous deployment and Integration within the up and running applications. Business Transformation is sure to throw new challenges every day , which might be associated with Performance, Security, or Functionality. Hence, the necessity for Continuous Development and Integration will only increase as time passes.
Testing Data for effective application within businesses
As business experts and technology geeks have estimated, Data will empower business decisions and enable effective deciding capabilities. However, it's important to check the info and make sure that the inferences derived are accurate and delivered during a format that's easily comprehensible.
Testers got to verify that terabytes of knowledge is effectively processed and weakened into precise clusters to derive the much needed inferences.
This testing could range from performance testing to functional testing and even security testing. Ensuring the standard of knowledge is very critical in big data testing, which may be confirmed on the idea of characteristics like precision, accuracy, consistency, and duplicity, to start with.
As per a report by ResearchAndMarkets, ‘the Global Intelligent apps market accounted for $8.39 billion in 2017 and is predicted to succeed in $93.4 billion by 2026 growing at a CAGR of 30.7% during the forecast period. Growing desire for advanced analytical tools, advancements in technology on deploying new product, and heightened marketplace for big data & analytics are fuelling the intelligent apps. Deepened acceptance among developing economies offers a serious opportunity for market expansion.’
Reports like these sum up the necessity for Intelligent Apps and as we will evaluate from the upcoming trends, the need will only increase. However, there's a growing need for effectively testing these applications for accuracy, performance, security, functionality, and anything that would be need based.
Performance Engineering and not just Performance Testing
Ensuring that your application or software works needless to say under changing or challenging conditions will always be a crucial factor to think about . Performance Testing has always been a critical aspect of the software testing strategy.
However, because the trend goes, Performance Testing will eventually shift gears towards Performance Engineering. the main target are going to be predominantly on all the factors that employment cohesively to make sure performance, security, usability, network compatibility, and far more.
Hence, of these factors will need to work towards delivering a high-quality application. the rationale being, these aspects are needed to deliver ever-increasing customer expectations through 2019.
Even within the coming years, the necessity and role of Software Testing will only grow stronger. Challenges with regard to technology and digital environment are sure to grow further. Hence, the necessity for software testing services to carry relevance in these changing environments is equally critical.
