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Conducting Impact Analysis: A Crucial Step in Testing

At an increasingly rapid software development pace, keeping pace with frequent code changes while simultaneously producing quality releases is a difficult challenge. Each code update may impact different areas of an app; therefore understanding their effects upon overall system functionality and bugs are vitally important if new bugs or breaking functionalities occur – this is […]

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Monkey Testing: Embracing the Unexpected with AI

Monkey Testing, as its name implies, is a method that’s deliberately chaotic yet highly effective at unearthing hidden issues in software: providing random inputs to software without planning or scripted interaction. This form of testing often used brute-force approaches but with artificial intelligence (AI), has evolved into an innovative technique used for improving software quality. […]

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Security Testing: Safeguarding Software with AI Insights

As cyber attacks evolve into increasingly complex attacks, organizations must prioritize software system security testing more than ever to protect applications, data, and users from harm.  Traditional security testing methods often struggle to keep pace with an ever-shifting threat landscape – this is why AI-enhanced security testing offers advanced features like automated vulnerability scanning, real-time […]

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Why Application Testing Holds 55% of the Market Share: Exploring Its Importance and Growth

In the ever-changing world of software development testing applications remains an essential part of the software testing industry, capturing an astounding 55 percent of the market share by 2022.  As companies ramp up their digital transformation initiatives and implement increasingly sophisticated technology and applications, testing for application has become more important.  But what is it that makes testing for […]

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Feedback Loops: Improving Unit Tests with AI

Modern software development makes unit testing an essential process. Unit tests focus on verifying individual methods, functions or classes to make sure that they perform as expected. As applications expand and evolve over time however, maintaining effective unit tests becomes ever more complex and challenging. AI-driven feedback loops offer solutions. By continuously analyzing unit tests […]

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Exploratory Testing: Enhancing Creativity in Quality Assurance

Traditional testing methodologies often fall short when it comes to software development projects where requirements change quickly, which makes traditional testing methods inadequate.  We will explore what exploratory testing entails as well as its significance within agile environments as well as how artificial intelligence (AI) has altered this process.  In this blog we’ll dive deep […]

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Accessibility Testing: Making Software Inclusive with AI

Organizations creating software products for diverse user bases need to ensure their products are accessible by all regardless of ability – this is where accessibility testing comes into play, by identifying barriers which prevent people with disabilities from engaging with software applications and thus ensure products truly cater for user friendliness for all. Artificial intelligence […]

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Sector-Specific Software Testing Trends: BFSI, Media & Telecom, and Mobile Applications

As the software testing market continues to grow, industry verticals are driving distinct trends in testing strategies. Read Sector-Specific Software Testing Trends. From banking to media, and mobile applications, businesses across sectors are developing and deploying complex software solutions that must meet unique functional, security, and performance requirements. This blog focuses on the demand for […]