It's a whole different mindset to "fail never and release when ready."
There is a reason that the agile movement eschews this approach: it is the opposite of agility-it relies on an unchanging product definition, relies on extensive documentation, and does not accept the concepts of failing fast and releasing often. The main problem has been finding the time to dedicate to such a project. Testing ThoroughlyĮver since I started out in programming, I've wanted to undertake a programming project that was developed with the rigorous approach used in mission-critical software: write out the requirements enforce traceability between requirements between requirements, code, and tests and, of course, do rigorous testing. Fortunately, one of the go language's strengths is a rich set of easy-to-use resources for precisely this kind of concurrent operation.Īfter this task is completed, work will begin on execution. To this end, loading opertions (parsing and format checking) will need to be done in parallel. The next step in the project is to identify the required classes and load them quickly. On my Java 11 test system, this command preloads 381 classes (in 347ms!) While Jacobin does not need as many classes loaded to run the specified class, it needs a subset of them. For a look at the list of all the classes loaded just to display the JVM version info, run this from the command line: The OpenJDK-based JVMs (essentially, all JVMs except IBM's J9 and some embeddable VMs) address this need by preloading hundreds of widely used classes at JVM start-up.
Among these are and various I/O classes are needed as well. Often, that superclass is, which depends on other classes. For example, all classes run from the command-line have a superclass. When a class is loaded by Jacobin or any other JVM, it necessarily pulls in other classes to be loaded.