List upcoming trends in software testingby Hruska William Best Software Testing Company In Canada
In today’s fast-paced world, where technologies are evolving rapidly, clients expect a seamless software product that can be of utmost use for their business activities. To develop a software product that is hassle-free, the dominance of this testing comes into perspective and that is the reason why the market for software testing is valued in billions. Companies know that a minuscule error in software can be disastrous and to avoid it, software testing is the only credible option. In this article, you will know about the upcoming trends in software testing.
Following are the upcoming trends in software testing:
1. Agile teams will bank upon test automation: Automation testing will test high test coverage in every sprint and thus provide instant feedback and superior quality, which is also important in agile. Automated testing is slowly and steadily gaining market demand as 44 percent of IT companies have automated 50 percent and more of their testing activities in the year 2019-20.
According to research, the market for automation testing will be valued at USD 28.8 billion (approx.) by 2024. Teams can take advantage of test automation to identify flaws rapidly with extra precision, execute recurring jobs, persist feedback loop, and test coverage. If companies are able to integrate test automation into their QA processes, then an enormous amount of cost, time, and manpower can be saved.
2. The prominence of Artificial Intelligence (AI) and Machine Learning (ML) in testing: Based on the current demand and performance of AI/ML in the global corporate scenario, it will continue to grow in the coming years. As per a study, the global market demand for AI will be valued at USD 200 billion (approx.) by the year 2025.
AI will be used more in the application development segment where testing will take place in a humungous manner. Most of the relevant work will apply to reports and analytics, which are considered to be the building blocks.
3. The rise of IoT testing: The Internet of Things (IoT) is proving to be a dynamic technology-based concept. It is an integration of giant networks such as processes, people, devices, and technologies, thereby sharing and collecting data over the internet. According to a study, there will be 25 billion (approx.) internet-connected devices by 2021.
In IoT devices, there is software included, and upon that there are many more devices that are connecting and generating large amounts of data. An effective IoT testing strategy needs to be put in place for the software to perform seamlessly in IoT devices. Software needs to be protected from vulnerabilities and data needs to be secured.
4. An upsurge in Big Data testing: Most organizations rely on enormous data volumes and diverse data types. Data helps in making strategic business decisions, which will in turn help organizations to progress smoothly. Many business sectors are taking advantage of big data such as healthcare, banking, technology, retail, telecom, media etc. The mining of unstructured and structured data requires end-to-end testing.
Big data testing ensures the accuracy, integrity and quality of data is essential for businesses to make informed decisions.
5. The emergence of Blockchain testing: Businesses like automotive, finance and cryptocurrency rely heavily on blockchain technology. A decentralized network is made distinct from a central system that is being utilized by traditional banks for managing finances as well as banking operations. Enterprises are using revolutionary technology such as blockchain technology to deal with digital currencies like bitcoin. These blockchain applications are not only limited to the financial sector but also play an important role in government services, the energy sector, etc.
Blockchain applications come in an extensive range and thus there are several challenges that need to be tackled to debug blockchain. Blockchain testing is a specialized and effective testing solution that is used to debug the code so that productive blockchain apps can be delivered. Some of the key testing types used in blockchain testing include node testing, API testing, performance testing, etc.Conclusion: If you are looking for a productive discussion on the efficacy of software testing and want to know what types of software testing perfectly suit your project needs, then just visit online a renowned software testing services company that is ready to serve you profitably.
Created on Jun 11th 2021 05:10. Viewed 45 times.