Search results
May 19, 2024 · According to ANSI/IEEE 1059 Software Testing Standard , Testing in Software Engineering is a process of analyzing a software product or system to examining a software product or system to determine whether it satisfies or fails to satisfy established conditions (i.e., defects).
4 days ago · System Integration Testing (SIT) is the overall testing of the whole system which is composed of many sub-systems. The main objective of SIT is to ensure that all software module dependencies are functioning properly and that data integrity is preserved between distinct modules of the whole system.
May 20, 2024 · The Information Technology Infrastructure Library (ITIL) is a set of best practices for IT service management (ITSM) that aims to align IT services with business needs. Initially developed by the UK Government’s Central Computer and Telecommunications Agency (CCTA) during the 1980s, ITIL has become the most widely accepted approach to ITSM.
4 days ago · A Spike is a backlog item distinctive to Scrum, aimed at solving a highly difficult to estimate problem or one that is quite unknown. In this blog, we will discuss What is Spike in Scrum and understand technical challenges, design issues, or feasibility questions related to it. This will greatly assist in accurate planning and execution of ...
May 16, 2024 · A silo is a team or resource working in a vertical that’s more or less cut off from other verticals in the org chart or tech stack. In IT departments, these verticals usually align with function (development, operations, architecture, etc.) or technology ( data warehouse, ERP, cloud, SAP and so on).
May 17, 2024 · Tim Berners-Lee, British computer scientist, generally credited as the inventor of the World Wide Web. In 2004 he was knighted by Queen Elizabeth II and received the Millennium Technology Prize from the Finnish Technology Award Foundation. In 2007 he was awarded the Draper Prize by the National Academy of Engineering.
23 hours ago · The rapid growth of large language models (LLMs) has catalyzed the development of numerous NLP applications, such as chatbots, writing assistants, and programming aids. However, these applications often require unlimited input length and robust memory capabilities, which current LLMs lack. Extending pre-training text length is impractical, necessitating research into enabling LLMs to handle ...
