AI for Testing

Winds of Change….

Software testing conventionally looks at validating requirements and, ignoring the correlation of data points that can be extracted from test results, test processes, defect logs, developer & tester performance, production incidents, code coverage, environment factors and sentiment of product users in real life situations. RTAP draws insights from these data points and enables AI (Machine Learning) based decisioning to reduce software defects, thus surpassing traditional testing practices and driving process and performance efficiencies.

Future of Testing….

Companies across the world are prioritizing their strategic technological adoption plans in the face of growing competition and pressure, which is positively contributing to the software testing industry. As the world embraces digital transformation and companies use newer techno-business models to sustain competition, the need for faster deployment of IT solutions will continue to rise. As digital transformation gains ground, organizations are investing more in application development to meet the demand of businesses. This has boosted spending on testing and quality assurance. This will translate into notable changes in the overall software development & testing process.

In this rapidly changing scenario, there is a paradigm shift in the way customers are building & testing products. The traditional methods of testing are gradually getting augmented by more controllable methods like Agile & SDET (Software Developer Engineer in Test). But the biggest change that is coming forth is from the realization that human effort in software testing has limited scalability and reliability. This directly challenges the continuation of our prevalent labor arbitrage model.

The beginning….

Imagine an AI (Machine Learning) software that analyzes every stage of the software testing life cycle and helps you take data driven decisions to reduce defects, optimize test case execution and reduce human effort. RTAP is such a product!

RTAP can deliver Improved quality, Faster time to market, and significant reduction in efforts with complete End to End test coverage. For the first time in the field of testing, it lays the foundation for taking a data driven, cognitive approach for reducing software defects.

It is an accepted fact in the technology industry that by simply adding more people in the software testing process, products are not going to get better. Increasing Head Count is simply not a scalable solution and heuristic methods of predicting QA outcomes is not a reliable method when you look at the sheer size and number of data points to be considered. There is also this need for progressive “defect reduction” as a key metric for evaluating the performance of test teams. In fact, some customer surveys have gone so far as to suggest that, in the future testers should be paid based on the defects they fix!

Results to look for….

RTAP improves testing effectiveness by reducing Overfit (removing redundant test cases) and Underfit (not testing key features). It uses machine learning models for Test Suite Optimization, Risk Based Testing, Traceability and Test Coverage.

RTAP uses AI models for making Predictions related to defects and helps testing team to incorporate “Shift Left” techniques that are so important for improving product quality.

RTAP also provides “What-If” analysis to simulate various parametric behaviors whereby helping the testing team to take corrective actions in advance to achieve testing objectives. It facilitates in prescribing corrective actions learned from the historical data, which can be used to reduce defects on a continuous basis. RTAP also is a self-learning product and gets smarter ( more accurate ) over a period of time by fine-tuning its machine learning models.

Only RTAP….

Backed by over 2 years of research, product development, data science and collaboration with one of the largest testing services providers in this world, RTAP has emerged as the only product in the market today that can be quickly configured for any customer’s environment to deliver AI enabled testing of software products.

RTAP is an integrated product and has all the necessary data management utilities, machine learning models and visualization elements necessary for this use case. RTAP reduces your “tools to solutions journey” and can quickly help you deliver software products in a smarter way.

At RTAP we still believe that this is only the beginning of better things to come….