Java -- which first came to fruition in the mid 1990s -- may have taken its place among the legacy languages of the industry, but its developers are enjoying the highest levels of job satisfaction in ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...

It's always a good idea to employ a few static code analysis tools as part of your software development routine. There are a number of great tools that perform static analysis of Java code, such as ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...