The scope of Artificial intelligence AI in software testing is broad and encompasses various aspects of AI system development and deployment. Here are some key areas within the scope of testing in AI: Data Testing: AI systems heavily rely on data for training, testing, and validation. Data testing involves ensuring the quality, completeness, and accuracy of the training data. It includes data preprocessing, data validation, and data augmentation techniques. Model Testing: This involves testing the AI model or algorithm itself. It includes verifying the model’s performance, accuracy, and robustness across different scenarios and input data. Model testing may involve evaluating metrics such as precision, recall, accuracy, F1-score, and analyzing the model’s behavior under different conditions. Performance Testing: AI systems often deal with large volumes of data and complex computations. Performance testing focuses on assessing the system’s speed, responsiveness, scalability, and resource utilization. It helps identify potential bottlenecks, optimize algorithms, and…
The scope of “Payment Testing” typically involves testing the functionality, security, and performance of payment processing systems or applications to ensure they are functioning as intended and meeting the requirements of the business and end-users. Payment systems can include various types of transactions such as credit card payments, online banking transfers, mobile payments, electronic wallets, and other forms of digital payments. The scope of Payment Testing may include, but is not limited to, the following areas: Functional testing: Verifying that payment processing systems or applications are working correctly, including validating the various stages of a payment transaction such as initiation, authorization, processing, settlement, and confirmation. Security testing: Ensuring that payment systems are secure and protected against potential threats, vulnerabilities, and attacks such as fraud, data breaches, and unauthorized access. This may involve testing for encryption, authentication, authorization, input validation, and other security measures. Compliance testing: Ensuring that payment systems comply…
Test automation As more and more organizations come to understand the advantages of automation, the trend towards automating tests will only continue to spread.This will involve a greater uptake of automated testing tools and frameworks like Selenium, Appium, and Robot Framework. Artificial Intelligence and Machine Learning in Testing AI and ML will be used increasingly frequently in testing. These tools can be used to automate testing procedures, spot patterns in test data, and even recommend test cases based on past outcomes. Continuous testing Rather of waiting until the conclusion of the development process, continuous testing involves testing frequently and early on. As businesses strive to produce software more quickly and frequently, this trend will only intensify. Shift-Left Testing This is a methodology that emphasizes testing early in the development process, as close to the requirements stage as possible. This technique will gain popularity as businesses look to find and address…
Every user in this world expects the software to do wonders and interact with the other application to give uninterrupted service. To meet such requirement companies of all sizes are moving towards API-driven software architecture. Any company can create an application that sends an impulse to a public API and receives a certain response. This enables coherent communication and information exchange between multiple software systems from multiple software companies. What is API Testing? API (Application Programming Interface) enables communication and data exchange between two separate software systems. It also involves testing application programming interfaces directly and as part of integration testing to determine if they meet expectations for functionality, reliability, performance, and security. Ola and Uber’s applications are real-world examples of how APIs are used by developers to integrate functionality developed by other companies. When you book a cab using ola or uber the application doesn’t know how to find the route so it…
87.5 percent of searches made worldwide are through Google in which 20 percent is through voice search. Speak into a digital apparatus, and presto: Play a melody song, find the nearest Italian restaurant, call your mom or book an appointment with a spa. According to a new report by a market research firm called Futuresource Consulting, Siri is the most popular virtual assistant across the world with a 35 percent market share. Microsoft’s Cortana is, surprisingly, at the second spot with a 22 percent share. Google Assistant and Amazon Alexa account for 9 percent and 4 percent of the market respectively. Voice-based device/ App Voice devices are smart devices designed specifically for getting tasks done through voice conversations. These devices are always awake and listening. There are two such devices that are ruling the market those are Google Home and Amazon Echo. These devices can be used for setting up alarm, reminders, searching the web, and even ordering food. Layers in…
Data are individual units of information. Data as a general concept refers to the fact that some existing information or knowledge is represented or coded in some form suitable for better usage or processing. The collection of these test data is also another form of testing in today’s world. People are more attracted to these kinds of techniques to collect test data where it saves a lot of their resources, cost, and time. What is Test Data Collection? Test data collection is the process of gathering and measuring information from countless different sources. In order to use the test data we collect to develop practical artificial intelligence (AI) and machine learning (ML) solutions, it must be collected and stored in a way that makes sense for the business problem at hand. Why Test Data Collection is Important? Collecting test data allows you to capture a record of past events so that we can use test data analysis to find recurring patterns.…
Stress testing is a non-functional form of testing that verified the stability & reliability of the system. This test mainly determines the system on its robustness and error handling under extremely heavy load conditions. It allows the testers to check the endurance power or limit of the system can withstand before breaking down. Stress testing is also known as endurance testing. It also effectively checks the system’s response and error management under stress and extreme conditions. It helps in finding the following errors in application software: Memory Leak. Data corruption and loss. Loss of resource issues. Timing bugs and synchronization issues. Request priority issues. Need for Stress Testing During festival time, an online shopping site may witness a spike in traffic, or when it announces a sale. When a blog is mentioned in a leading newspaper, it experiences a sudden surge in traffic. Goals of Stress Testing The goal of stress…
The world’s first bug was found on September 9, 1947. It was found by the “Grace Hopper” who was the computer scientist in ‘Harvard University’. She reported the World’s first computer bug. A bug is a flaw or glitch in a system. But this was not a Software bug it was a real-life moth that was causing the issue with the computer hardware. According to Grace, it was really a bug. Her coworkers were facing the issue that their systems were delivering a consistent error. Then they decided to open the computer hardware they found a moth(Insect) in it. Inside all the wires, they found a moth. They were surprised to find the insect trapped in wires. The moth had accidentally flown in and got trapped between parts of the computer. The trapped insect had disrupted the electronics of the computer. They have to fix or debug that problem. Grace…
On behalf of Crowd4Test, I would like to share the roller coaster experience of our recent Project X with one of our clients (Name of the Client Censored) Before getting into the story a short glimpse of what is it about? Exploratory Testing 2 SIM Operators only 7 Days Project Duration 15 Different Devices 22 Cities 22 Testers 53 Defects Found 48 Critical & Major Defects Found 1 Happy Client About Project X Project X was based on Exploratory Testing where an android application has to be tested with different testers located across India. Project X should be carried forward and tested only with 2 particular SIM operators. Requirement for Project X First and the major challenging requirement was to identify testers with 2 particular SIM operators. Second requirement was to identify freelance testers across India. The third requirement was a freelance tester with Android device only. About Client We…
Usability testing is a technique used in user-centric interaction design to evaluate a product by testing it on users. The goal is to reveal areas of confusion and uncover opportunities to improve the overall user experience. Usability testing evaluates the ease of use The key difference between usability testing and traditional testing (bug testing, acceptance testing, etc.) is that usability testing takes place with actual users or customers of the product. Whilst traditional testing might be undertaken by a developer, designer or project manager, usability testing removes any bias by collecting feedback direct from the end-user. There are a few different types of usability testing or reasons to conduct usability research: Comparative Usability Testing Used to compare the usability of one website with another. Comparative tests are commonly used to compare a website against peer or competitor sites, however, it can also be used to compare two designs to establish which provides the best user…