Releasing software is often a sequence of repetitive activities, including critical quality gates to assure the right version, configuration, and scope are deployable and releasable. In those critical moments, we want our release quality and risks to be predictable against expected outcomes and behaviors – we want to mitigate any potential risks associated with new changes. For this, we need to pick a parallel testing strategy and tactics that are tightly integrated with our processes to enable informed decision-making based on feedback loops. Testing reduces the guesswork and enables us to ac ..read more

Finding a bug is one thing, but documenting it is just as important, if not more so. That’s why we want to share how to write the ideal bug report. We’ll also share a list of the seven items in the Testlio bug report template.   Bug reporting demonstrates a development issue and gives your developers a place to start fixing it. Writing a 10-page report on what you discover may be tempting, but we’ve found that the simpler and more succinct your bug report is, the better you’ll be in the long run. As always, stick to our version of the tried-and-true KISS method (Keep It Simple, Stupi ..read more

25 industry leaders confidently scale their software testing with a comprehensive, AI-powered approach to quality engineering. April 10, 2024, Austin, Texas – Testlio, a global provider of software testing solutions, has announced significant client adoption for its managed test automation solution. The company now provides comprehensive quality engineering capabilities to twenty-five digital technology leaders across retail, technology, media, healthcare, and financial services industry verticals. This represents approximately 17% of Testlio’s enterprise-class client base. Testlio has made ..read more

We all understand that software quality is a critical aspect of modern software development. There are countless metrics that can be tracked, business value that can be attributed to the quality of software, and cautionary tales in news cycles driven by critical issues that make their way to production. Yet, in many cases, organizations still fail to define and implement a quality strategy. Instead of applying the same engineering principles they do to software development, they fumble their way through software testing.  The truth, however, is that software testing shouldn’t be seen as a ..read more

Just shy of a year ago and coinciding with the Atlassian Team ‘23 conference, Testlio unveiled an initiative to help product teams adopt signal-driven testing as a core pillar of the future of software quality engineering. A lot of exciting things have happened and continue to happen since that announcement, which collectively serves as validation of the opportunity for product teams to dramatically improve test coverage efficiency through signal-driven testing. First, a Quick Refresher on Signal-Driven Testing SDT is an approach to quality engineering that generates data-driven quality insig ..read more

The Dilemma of Achieving Optimal Testing in Software Testing Thorough software testing aims to identify and resolve potential issues before they impact users, ensuring a high-quality user experience. However, optimal testing levels can be hard to achieve for most quality assurance (QA) teams. An optimal testing level requires balancing testing thoroughness, coverage, and speed with resource allocation. This formidable challenge is further complicated because what constitutes an “optimal” level varies significantly across projects, teams, and the evolving tech landscape. To achieve optimal test ..read more

Measuring the success of quality assurance (QA) and software testing can be a complex task that requires going beyond surface metrics. It’s a nuanced process that needs an in-depth understanding of how every decision and action your team takes translates into tangible benefits for the product, the team, and, ultimately, the end-users. However, with so many data points available, identifying which metrics truly matter can feel like finding a needle in a haystack. Well-defined metrics can and should help you identify weak spots in testing strategies, optimize resource allocation, understand team ..read more

Blockchain technology is transforming the way financial transactions are conducted, and it’s playing a crucial role in reducing the gap in financial inclusion. Regulatory challenges, economic underdevelopment, socioeconomic backgrounds, and poor infrastructure have made fundamental and traditional banking services, such as simple bank accounts, inaccessible for as many as 1.7 billion users.  That’s why blockchain technologies like cryptocurrencies, hardware wallets, DeFi (decentralized finance) wallets, etc, are increasingly becoming valuable tools that provide globally available and acce ..read more

There are a few universal truths modern quality assurance (QA) teams have to acknowledge.  The talent gap for specialized testing expertise is increasing Market demands require teams to release new features faster and more frequently Executives expect more testing coverage without additional cost or recruitment burden While all of these are true, the expectation that QA teams can deliver new and existing bug-free features with aggressive time and cost constraints without support is unrealistic. Additionally, several in-house teams struggle to hire and retain specialized testing expertis ..read more

Artificial intelligence (AI) apps are becoming increasingly crucial for individual customers and businesses alike. These apps bring many benefits, such as task automation, efficient analysis of large data sets, and data-informed decision-making, making AI-powered applications highly valuable. As a result, DevOps teams working on AI apps can’t afford poor performance. Unlike regular apps, the performance of AI applications and systems is measured on their accuracy, precision, recall, and predictive abilities. This makes AI hallucinations a significant threat to the success of AI-powered apps.&n ..read more