#software testing strategy

Navigate the complexities of modern application testing with a robust cloud testing strategy and a forward-thinking software testing strategy. Ensure quality across cloud, mobile, and emerging technologies by adopting best practices in test automation, performance testing, security validation, and continuous delivery. Build a testing approach that’s scalable, efficient, and aligned with today’s dynamic digital landscape.

Software testing is a significant procedure that is all piece of the way toward creating Software . Any organizations that disregard this procedure and the quality control principles that are included can wreck the notoriety of your organization and your image. It can likewise bring about the misuse of the whole measure of cash that you spent on your venture costs. Having a test plan is an essential part of undertaking documentation. The various objectives and necessities of a specific Software application are secured by a specific venture plan. Test documentations are additionally made so as to make test situations that decide how best the application adapts in various situations and in various workplaces.

The vast majority of the required test prerequisites for deciding usefulness of a specific sort of Software are utilized in the later pieces of programming aggregation. Both the engineers and different improvement groups will put the product program through different arrangement of tests so as to decide whether it fulfills the prerequisites that the task set out to accomplish in any case. These tests will later prepare for other test groups just as beta testing and end client testing systems. It is additionally imperative to utilize certain types of specific and modified Software during this testing procedure. A portion of these types of Software incorporate relapse programming which permits the improvement group to complete adjustments and record different changes en route. Recording changes enables you to "rollback" the whole programming advancement process on the off chance that a switch comes up which contains the usefulness of the product application and undertaking.

The Software testing stage permits a completely new arrangement of eyes investigate the product application so as to test it in a true situation and away from the formal methodology that the typical Software advancement group does. Testing in the test stage may include the testing of this product on different machines each with their different working frameworks. It additionally includes utilitarian testing and testing that distinguishes that it is so natural to utilize the product. Now and then the product will be discharged to the bigger open so as to get a reaction that decides how proficient the product is in the overall population. This kind of testing is generally called the best testing stage. Bigger Software organizations for the most part practice this beta testing so as to use the whole aptitudes and encounters that come about because of utilizing a more extensive gathering of individuals to test the product item in their different surroundings. Now and then convenience programming is utilized during the procedure so as to streamline the whole procedure.

Information technology is transforming the landscape of industry and business in a big way. It has given convenience, engagement and connectivity a new meaning with technologies like IoT, artificial intelligence and machine learning, blockchain, and augmented reality among others. As the world moves towards automation and its attendant benefits, the software testing trends in 2019 will be interesting to watch. The benefits include an increase in quality, speed, productivity, efficiency, collaboration as well as reduction in glitches, wastage, and cost. Moreover, the advent of Agile and DevOps has caused disruptions in software application testing. Let us have a look at the software testing trends of 2019 that businesses can integrate into their arsenal to remain competitive.

The Testing Trends of 2019

#1. Better DevOps and Agile collaboration: If Agile is about changing the dynamics of QA by integrating the development and testing teams within a single sprint, DevOps goes a step further by creating a quality culture in the entire organization. DevOps came about as Agile fell short in taking the quality paradigm further in the organization. With customer experience becoming the sole determinator in competition, organizations cannot ignore the last mile connectivity for customers. DevOps is a software testing approach that ensures a seamless coordination between the silo-based departments of an organization to achieve the overall objective. A better collaboration between DevOps and Agile would replace the specific test groups with nodal groups executing a dynamic quality analysis. DevOps and Agile would help deliver quicker and superior test outcomes for businesses at fewer costs.

#2. Use of AI and machine learning in software application testing: Artificial intelligence is going places especially in the IT industry. It helps to transform workflows and processes by creating unique and optimized test cases. By mining historical data, AI can identify the source of glitches in billion lines of codes and predict customer preferences for products and services. AI and machine learning can find out the high-risk areas of software and prioritize regression testing in real time. For example, the AI-based software testing methodology is best placed for use in the banking sector. It can identify fraudulent transactions by analyzing the pattern of historical data and help the banks to uphold both the customer interest and brand proposition.

#3. QA to quality engineering: If traditional QA is all about testing a product post development and integration, then quality engineering is much more comprehensive. As software becomes more complex with numerous digital touchpoints, achieving the ultimate customer experience is only possible when quality becomes a pan organizational responsibility rather than that of a specific department. The forthcoming software testing trends will see QA giving way to quality engineering. This entails managing, developing, operating, and maintaining the IT architecture with high standards of quality.

#4. Performance engineering: Prevention is better than cure, so goes the saying. This applies to software testing strategy as well wherein the focus is not merely on identifying glitches in software but finding ways and means to pre-empt them. If performance testing is about testing the performance of software on metrics like throughput, scalability, response time, resource usage, capacity, stress, volume etc., performance engineering is all encompassing. The year 2019 will see a shift towards adopting performance engineering wherein the focus will be on analyzing the workings of various elements in a software. In an IT ecosystem where achieving customer satisfaction is imperative, performance engineering helps stakeholders across departments to deliver items with the highest priority. It focuses on the design, development, and delivery of quality software products and services.

#5. Cloud-based testing tools: Enterprises are leveraging cloud-based platforms like AWS in a big way, thanks to the latter’s attributes like scalability, flexibility, security, and cost effectiveness. The software testing trends in 2019 will see the utilization of cloud-based testing tools such as Selenium, Robotium etc. The range of testing shall include cross browser testing, performance testing, usability testing, regression testing etc.

#6. Use of open source tools: Rising competition has forced businesses to cut input costs without compromising the quality of deliverables. With test automation tools adding to the input cost, the shift is more towards using open source tools such as Selenium, JMeter, Grinder etc. The quality of open source tools is no way less than the premium ones for they are backed by an extensive community of developers.

#7. Big data testing: The latest software applications with access to multiple touchpoints generate large volumes of data. Since testing such big data with traditional computing techniques is not possible, the software testing approach needs to have a relook. The year 2019 will see the testing of big data in a major way to tackle the software testing challenges. The testing is imperative to ensure the integrity, completeness, validity, and compatibility of big data across the SDLC and beyond.

#8. Robotic process automation (RPA): Increasing the efficiency of legacy systems has become a challenge for businesses. However, by implementing robotic process automation, the efficiency of such systems can be enhanced to a large degree. The automation technology helps enterprises to perform critical and repetitive jobs with speed and perfection.

#9. IoT testing: Embedded software in devices has become commonplace, especially in consumer durables. The quality of software will ultimately determine the seamless running of a device’s features and functionalities. The year 2019 will see more emphasis being given to the testing of such embedded software in this world of Internet of Things (IoT) especially in terms of usability, compatibility, reliability, scalability, data integrity, performance, and security.

Conclusion

With the quality of software determining the customer experience, software testing will move into frontiers like IoT, performance engineering etc. The year 2019 will see more emphasis to be given to the adoption of new technologies and testing to be executed along the DevSecOps way.