ABAP vs. JSON vs. Python vs. TimeMachine Comparison Chart

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language. JSON is built on two structures: 1. A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. 2. An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. These are universal data structures. Virtually all modern programming languages support them in one form or another.

The TimeMachine debugging suite extends the range of Green Hills Software’s popular MULTI integrated development environment (IDE) by providing a window into the complex interactions in software that can result in bugs, performance problems, and testing nightmares. By presenting this information in easy-to-understand displays, TimeMachine enables developers to quickly navigate through trace data and produce better code in less time. With TimeMachine you can debug both forward and backward in time, making it easier to find even the hardest time. Make your software run faster than you thought possible by examining program execution history to find previously unknown bottlenecks. Accelerate debugging by stepping backward a single step at a time into functions you've already stepped over. Leverage gigabytes of execution history to verify that your program has been fully tested.