[SWM] Day3: Repository Tools for SWM(Not only Git)

Repository Tools for SWM

Trello

Trello is a project management tool
Can be used to organise individual project, but especially useful for teams
Basic version is free
Work in process(WIP) limits: Treat the cards like a limited currency – prevents overloading developers

Pros:

  • Free!(at least the basic version)
  • Open to members and non-members
  • Private or Public Boards(limited to a group of members or anyone)
  • Natural user interface, support for agile projects
  • Ease of use, visibility and tracking, collaborative
  • Available on Iphone/Android/Windows
  • Developer API
  • supports Agile feature

Cons:

  • Cards/tasks cannot be assigned to multiple boards/projects
  • No tagging capability
  • Difficult to move/copy etc. multiple cards
  • No due dates per tasks
  • Checklist are not easily visible inside cards
  • Have to pay for the full experience

Managing source code

Using a source code version control or repository system, such as git, SVN(SubVersionN), CVS(Concurrent Versioning system)
Why not just keep copies in backup folders?
Error prone
Hard to roll back
Cannot easily share code with others
Can not do automated testing
enter image description here

Git

  • Git is a (free and open source) distributed version control system
  • Designed originally for command line use
    Git has these concept:
  • Working folder
  • Staging area
  • Local repository
  • Remote repository
    enter image description here
    You work locally, perhaps in a development branch, and when happy add and commit changes to a local repository
    When you are REALLY happy, you can push changes to a remote server, storing a ‘master’ version of the software

Centralized(single user)

Draw how you imagine a simple workflow would look?
enter image description here
- Just a master branch
- Single user
- This is very like how you would use SVN,CVS
- No danger of conflicts as only 1 user

Centralized(multiple users)

enter image description here
  • User check out code and work independently
  • So inevitably one person will update the origin master first
  • The second person will need to update their code from the origin and manage their changes to avoid conflicts

Continuous integration

enter image description here
Once linked to the repository, testing can for example be automatically activated every time someone commits, or every night
  • Produce a visible report of test results
  • Makes sure the system is buildable(compilable)
  • List code coverage
  • Style violation
  • Static analysis

Gitlab CI

GitLab has a built in CI
You submit a script on your repository which the CI server runs
- a bit like the build scripts we looked at last week
GitLab using YAML
- Commit a special file called .gitlab-ci.yml in your project root
- Composed of jobs of work, rules about when they should be run, and scripts of commands
- Set up runners in GitLab CI to action the jobs in the script

Use of Git

http://www.liaoxuefeng.com/wiki/0013739516305929606dd18361248578c67b8067c8c017b000

评论

发表评论

此博客中的热门博文

[MLE] Linear Classification

图片
Linear Classification Discriminant functions Least squares for classification Fisher’s linear discriminant K-Nearest Neighbour(KNN) Classification What’s decision boundaries/linearly separable? The goal in classification is to take an input vector x and to assign it to one of K discrete classes \(C_k\) where k = 1,…,K. In the most common scenario, the classes are taken to be disjoint, so that each input is assigned to one and only one class. The input space is thereby divided into decision regions whose boundaries are called decision boundaries or decision surfaces. In this blog, we consider linear models for classification , by which we mean that the decision surfaces are linear functions of the input vector x and hence are defined by (D-1) -dimensional hyperplanes within the D-dimensional input space. For example: in 3D input space, the decision boundary will be a 2D surface What is Linear Separability Linearly separable data: Datasets whose classes can be separated by
阅读全文

[AIM] MetaHeuristics

图片
Day2 Outline Metaheuristics -definition Single point based search method(simple stochastic local search) Iterated local search Scheduling Tabu Search Metaheuristic what is a metaheuristic? A metaheuristic is a high-level problem independent algorithmic framework that provides a set of guidelines or strategies to develop heuristic optimization algorithms. what is the difference between heuristic and metaheuristic? Heuristic : Heuristics are problem-dependent techniques. As such, they usually are adapted to the problem at hand and they try to take full advantage of the particularities of this problem. However, because they are often too greedy, they usually get trapped in a local optimum and thus fail, in general, to obtain the global optimum solution. Metaheuristic : Meta-heuristics, on the other hand, are problem-independent techniques . As such, they do not take advantage of any specificity of the problem and, therefore, can be used as black boxes . In general, t
阅读全文

[CS231] Neural Networks

图片
Neural Network Table of Contents: Quick intro without brain analogies Modeling one neuron Biological motivation and connections Single neuron as a linear classifier Commonly used activation functions Neural Network architectures Layer-wise organization Summary Additional references Quick intro It is possible to introduce neural networks without appealing to brain analogies. In the section on linear classification we computed scores for different visual categories given the image using the formula \( s = W x \), where \(W\) was a matrix and \(x\) was an input column vector containing all pixel data of the image. In the case of CIFAR-10, \(x\) is a [3072x1] column vector, and \(W\) is a [10x3072] matrix, so that the output scores is a vector of 10 class scores. An example neural network would instead compute \( s = W_2 \max(0, W_1 x) \). Here, \(W_1\) could be, for example, a [100x3072] matrix transforming the image into a 100-dimensional intermediate vector. The funct
阅读全文