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Software Development Practices

Best practices for software develompent at the Sustainable Engineering Lab (SEL)

Production

Before any software project goes production (i.e. has users other than the dev's building it), it must have ALL of the following:

  1. At least 90% code test coverage and assurance that functionality works as advertised
  2. Build automation such that pushes that break tests are detected. Travis is the standard here.
  3. Code review and sign-off (with written feedback in the form of github issue(s)) by at least 1 other developer that the code is able to be maintained.
  4. Documentation explaining the purpose, architecture, API (if applicable), deployment process and how to test the project

These guidelines are meant to ensure that code is kept simple and maintainable out of respect for current and future members of the lab. Any projects that are out of compliance with these requirements must fulfill them before any new development is done.

The following are also recommended:

  1. Compliance with language specific guidelines (PEP8 for Python...)
  2. Performance benchmarks

Aside from above, here are suggestions to check for in code reviews:

  1. Correctness
  2. Consistency (in patterns used, naming conventions, tests, etc)
  3. Unnecessary complexity (see YAGNI)
  4. Documentation on any necessary complexity
  5. Duplicate code
  6. Exception/Error handling
  7. Security holes

Github Usage

Our recommended best practices for coordinating source code changes on the SEL-Columbia github account.

See the README.md in the github-usage folder in this repo for specifics and examples.

Python

We observe the PEP 8 Style Guide for python code.

When in doubt, fall back on the Google Python Style Guide. Of particular interest might be their detailed docstring guide, of which this is a nice example

The flake8 and pylint utilities automatically check code for compliance with PEP 8, and so a bash utility has been provided which can run an entire set of python source code files from a given repo against it, and summarize the results in a markdown report file, while preserving the entire pylint report for each source code file.

If you use Vim, you can also use the syntastic plugin to run flake8 automatically after each save.

vim ~/.vimrc

	filetype off
	set rtp+=~/.vim/bundle/Vundle.vim
	call vundle#begin()
	Plugin 'gmarik/Vundle.vim'

	Plugin 'scrooloose/syntastic'
		set statusline+=%#warningmsg#
		set statusline+=%{SyntasticStatuslineFlag()}
		set statusline+=%*
		let g:syntastic_auto_loc_list=1
		let g:syntastic_check_on_wq = 0
		let g:syntastic_loc_list_height=3

	call vundle#end()
	filetype plugin indent on

git clone --depth=1 https://github.com/gmarik/Vundle.vim.git ~/.vim/bundle/Vundle.vim
vim +PluginInstall +qall now &>/dev/null
pip install -U flake8

See the Python folder in this repo for more details.

Shell

We follow the Google shell style guide