Coverage.py vs. Devel::Cover vs. Python vs. Swiftify Comparison Chart

This module provides code coverage metrics for Perl. Code coverage metrics describe how thoroughly tests exercise code. By using Devel::Cover you can discover areas of code not exercised by your tests and determine which tests to create to increase coverage. Code coverage can be considered an indirect measure of quality. Devel::Cover is now quite stable and provides many of the features to be expected in a useful coverage tool. Statement, branch, condition, subroutine, and pod coverage information is reported. Statement and subroutine coverage data should be accurate. Branch and condition coverage data should be mostly accurate too, although not always what one might initially expect. Pod coverage comes from Pod::Coverage. If Pod::Coverage::CountParents is available it will be used instead.

Apple rolled out Swift in 2014 to replace Objective-C. There are still plenty of apps and projects that use Objective-C, and developers are faced with the prospect of either starting again from scratch or attempting to convert them to Swift. Swiftify for Xcode automates the conversion process, handling the task of replacing the syntax while letting you focus on the other aspects of project migration. As the name suggests, the service can be accessed directly from Xcode's Editor menu. You can convert a code selection or a whole file. You can paste Objective-C as Swift. It's also possible to convert files directly from Finder without booting up Xcode. Select the files and start the conversion from the context menu. Finally, the Advanced Project Converter app included in Swiftify for Xcode is designed to help you manage an entire project. It lets you explore the project in a dedicated UI and select files to be converted. Processed files are automatically added to the project.