Regression Testing: An Important Guide in 8 Points March 1, 2021No Comments Introduction Why is regression testing important? Organizations today need an effective regression strategy to save money and time. A case study on the banking domain shows that regression techniques and testing helped save as much as 60% of the time spent on fixing bugs normally weeded out by regression tests and as much as 40% in […] Read more → Introduction Why is regression testing important? Organizations today need an effective regression strategy to save money and time. A case study on the banking domain shows that regression techniques and testing helped save as much as 60% of the time spent on fixing bugs normally weeded out by regression tests and as much as 40% in […] What is Selenium? A Complete Overview in 2021 No Comments Introduction What is Selenium? Selenium is a software suite and not just one tool in software testing. Each piece of software in this suite has a different quality analysis testing need it addresses in any organization. It comprises components like the Integrated Development Environment (IDE), WebDriver, Remote Control (RC) and the Grid. Selenium Version 1 […] Read more → Introduction What is Selenium? Selenium is a software suite and not just one tool in software testing. Each piece of software in this suite has a different quality analysis testing need it addresses in any organization. It comprises components like the Integrated Development Environment (IDE), WebDriver, Remote Control (RC) and the Grid. Selenium Version 1 […] Spectral Clustering: An Easy Overview In 2021 No Comments Introduction Spectral clustering is a method establishes in the graph hypothesis, where the methodology is utilized to recognize networks of nodes in a graph depending on the edges associating them. The technique is adaptable and permits us to cluster non-graph information also. Spectral clustering utilizes data from the spectrum of extraordinary matrices worked from the data set […] Read more → Introduction Spectral clustering is a method establishes in the graph hypothesis, where the methodology is utilized to recognize networks of nodes in a graph depending on the edges associating them. The technique is adaptable and permits us to cluster non-graph information also. Spectral clustering utilizes data from the spectrum of extraordinary matrices worked from the data set […]