The current state of AI, despite the relevant infancy of the tools, showcases promising potential. While human assistance is still needed, the convergence of chat UI and large language models allows users to ask for what they want in a natural language, and the technology is growing intelligent enough to respond or even take action.
When your user base is the size of a small country, how do you ensure you're not missing the nuances of their diverse needs? Exploratory testing lets you see the software from the user's perspective, but with diverse users, maintaining effectiveness is challenging. Persona testing enhances exploratory tests by focusing on unique user experiences, allowing you to wear multiple hats and understand the software through various user perspectives.
The company is a leading provider of fixed and mobile telecommunications services, radiating excellence across Latin and Central America. With an illustrious track record stretching over 30 years, they offer services that connect roughly 45 million consumers, by a fiber-cable infrastructure reaching over 13 million residences.
AI growing relevance in software testing has garnered substantial attention in today's software industry. While incorporating AI and ML approaches into software testing is not required, it is worthwhile to explore and study how these methods may deliver valuable benefits in specific elements of the testing process. With the incorporation of artificial intelligence (AI) techniques software testing will undergo a transformational transition.
Lately, AI and Machine Learning have been the most significant breakthroughs in the software testing space, and they will remain a hot topic for the foreseeable future.
Generative AI is bringing a new era of “convenience” with ChatGPT, from OpenAI, taking center stage in our daily lives. From aiding in solving complex problems to generating content, this large language model has become a helpful companion for various testing-related tasks. As generative AI is becoming increasingly present in our daily lives, we should understand how to use it and account for its limitations.
Exploratory testing is a dynamic, flexible methodology emphasizing simultaneous learning, testing strategy, and execution. Unlike traditional scripted testing, exploratory testing enables testers to actively explore software applications using their intuition, creativity, and experience. By assuming the end-user role, testers interact with the software in real-time, identifying potential issues and uncovering usability problems that scripted tests might overlook.
In part 1of our software testing compliance blog we discussed the overall significance of compliance and how it can be facilitated at the strategic level for several popular universal standards. Now, let’s take a look at how day-to-day operations could be optimized with industry-specific examples of Xray’s applicability.
Every industry has evolved to require high-quality products that are safe for usage according to the applicable rules. Those often appear as international standards that provide a framework for applying the global best practices from operational, ethical, and legal standpoints. Therefore, the primary benefits of aligning with those guidelines are reputational and financial gains.
Artificial Intelligence (AI) is rapidly evolving, and one of the prominent breakthroughs is OpenAI's ChatGPT, which has gained considerable attention. As AI and Large Language Models (LLMs) like GPT-3/4 gain prevalence, various industries are exploring their potential, including software testing. Integrating AI into test management tools seems enticing.
