Software Testing

Digitization is continuing rapidly across industry verticals and geographies. Business enterprises, regardless of size and legacy, offer quality-rich products or services to gain a competitive edge. However, delivering a superior user experience is underpinned by system resilience. It also helps businesses regarding reputational gain, cost, and revenue. So, to ensure businesses do not suffer the pitfalls of unreliable systems, site reliability engineering, or SRE, has become crucial. SRE services help them deliver quality software products or services faster. While doing so, businesses should ensure the system’s reliability, performance, and scalability. According to Sumologic, 19 percent of businesses have implemented SRE throughout their processes, while 55 percent use it within specific teams. This blog explores SRE and how it helps businesses boost performance and stability. What Is Site Reliability Engineering, or SRE? Site Reliability Engineering is a discipline that origi...

Cigniti and Katalon have teamed up for the 2024 State of Quality Survey, a deep dive into the trends, challenges, and innovations transforming the industry’s software testing landscape.   What's in it for you?   ✓ 𝐌𝐚𝐤𝐞 𝐲𝐨𝐮𝐫 𝐯𝐨𝐢𝐜𝐞 𝐡𝐞𝐚𝐫𝐝: Your expertise will directly influence the State of Quality Report 2024-25, guiding QA professionals worldwide.   ✓ 𝐆𝐞𝐭 𝐚𝐧 𝐞𝐱𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐞𝐝𝐠𝐞: Be among the first to access the report, packed with actionable insights to elevate your software quality practices.   Take this quick survey now and make a lasting impact:  https://link.cigniti.com/listing-003   P.S. Your data is safe. It will be used solely for analysis and the report, your personal info remains confidential.

With the cloud becoming the de facto technology, service, or platform for businesses to store, access, process, deliver, and maintain digital resources and infrastructure, it must be leveraged to drive innovation and growth. The flexibility and scalability of the cloud offers unprecedented benefits that legacy systems could not match. However, along with the benefits come the challenges of driving cloud cost management. As businesses scale up their cloud usage, tracking expenses becomes a complex and daunting task. This is where FinOps automation offers a streamlined approach to cloud cost governance and control. It helps businesses track, analyze, and optimize cloud expenses by giving them visibility into cloud costs. By offering analytics and reporting capabilities, cloud FinOps enables businesses to optimize resource usage and identify opportunities to save costs. In fact, the global FinOps market is growing at a rapid pace. It is expected to reach $2,750.5 million by 2028 and gr...

The role of cybersecurity cannot be overstated in today’s heavily digitized landscape, where technology-led business operations are a reality. If there is one thing that impedes the speed and reliability of digital transformation across the globe, it is the menace of cybercrime. From big corporations to small entities, there is no escaping the prying eyes of cybercriminals. As technology advances to bring convenience to end users, the attack vectors used by cybercriminals have become sophisticated and difficult to detect. As per Forrester, ransomware and compromised business email are the top cybersecurity threats that businesses should worry about. Besides, cybercrime is predicted to cause damage worth $8 trillion globally in 2023. It will likely touch $10.5 trillion by 2025 (source: Cybersecurity Ventures). Cyber threats have prompted businesses across industries to prioritize security testing. However, there cannot be a single approach to security testing, given that each industry f...

  Image annotation and machine learning model training are the most time-consuming processes in the machine learning pipeline. It is often observed that data provided during training can be inaccurate, unclear, or repetitive due to human error. This can make the model less effective and invalidate all efforts that have been put into annotations. To mitigate such issues, active learning methods can be utilized to help in image selection. This can, in turn, allow users to annotate and use datasets that are smaller, less time-consuming, and meaningful for the ML model to learn from. It can then increase the model training speed and provide insight into the diversity of the dataset. When it comes to machine learning and artificial intelligence, the accuracy and effectiveness of data labeling services often depend on the quality and quantity of data they are trained on. For image-based applications, such as computer vision and object detection, the role of accurate image annotations ca...

  Artificial Intelligence or AI has become the buzzword of today and can potentially boost performance and efficiency in various industries, including healthcare. It is transforming the healthcare industry by helping medical professionals diagnose and treat various ailments. These include using chatbots to increase primary care and triage, virtual nursing assistants, precision medicine, robotic surgeries, and administrative workflow assistance. Further, AI has a big role in medical device testing as it sifts through countless lines of code to identify patterns and errors. In recent years, the healthcare industry has seen the introduction of Artificial Intelligence into various aspects of medical practice. One area where these advancements have shown remarkable promise is in testing medical devices . AI-driven automation has revolutionized the way medical devices are tested, ensuring higher quality, efficiency, and safety. Statistically speaking, the use of AI in healthcare is ex...