QA Wizard, a business unit of Seapine Software, launched Defect Scribe, a tool that helps quality assurance (QA) and software development teams improve their manual testing efficiency and create better bug reports.
Defect Scribe allows software testers to focus more on testing an application or web site, and less on documenting every step they take during the testing process.
“Defect Scribe increases teams’ productivity by removing their least valuable work,” said Jeff Amfahr, director of product management, Seapine Software. “QA folks want to spend their time finding issues, not writing defect reports. By automatically creating a step-by-step record of every action with Defect Scribe, anyone testing software can spend more time finding issues and less time on paperwork.”
A subscription-based service, Defect Scribe is installed on the user’s desktop and records every user action and application screen to improve test session efficiency and create better bug reports.
Available for web, Windows, or Java applications, Defect Scribe records activity during manual and exploratory testing. Defect Scribe builds a detailed history of the test session, including descriptions of the user interface controls used and a screen shot of every step with the relevant graphical user interface (GUI) element automatically highlighted. If a defect is found, the tester can submit a complete and accurate bug report—including the recording, associated screenshots, testing notes, and detailed steps to reproduce — in just one click to a defect tracking tool or via email. This saves significant time with manual data collection, allowing testers to focus on “breaking” software and enabling developers to quickly reproduce and fix bugs.
The Latest
Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...
Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...
Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...
The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...
In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...
In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ...
The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...
On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...
Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...
Poor DEX directly costs global businesses an average of 470,000 hours per year, equivalent to around 226 full-time employees, according to a new report from Nexthink, Cracking the DEX Equation: The Annual Workplace Productivity Report. This indicates that digital friction is a vital and underreported element of the global productivity crisis ...