Jump to: navigation, search

Difference between revisions of "HowTo:Design a Customizing"


m
Line 32: Line 32:
  
 
Make sure to maintain the Project Structure Plan for non-trivial tasks. In the rest of this article, best practices for the individual steps are described.
 
Make sure to maintain the Project Structure Plan for non-trivial tasks. In the rest of this article, best practices for the individual steps are described.
 +
 +
= Functional design =
 +
 +
Based on the requirements collected by the customer, we can create a Functional Design (FD). Such a description suggests what a solution should look and behave like. FDs are of paramount importance in a project, because they nail down the scope of a use-case or task. Functional specifications are great to negotiate specific goals with the customer, allowing us to design a technical solution and to estimate the effort. Optimally, an FD contains:
 +
* A description of the use-case
 +
* Mock-ups of the UI (if any)
 +
* A diagram of the workflow (without technical details)
 +
 +
Often, tricky questions are encountered when making a Functional Design. This means we're doing it right, because without an FD, the same questions would appear during implementation, when it's too late. Better to resolve these questions with the customer or the project leader before we start working on the issue, allowing us to adjust our estimate in time.
 +
 +
= Technical design =
 +
 +
Based on the FD, a Technical Design (TD) can be created. Such a concept elaborates on how to provide a suggested functional solution, technically. TDs can greatly reduce the time spent on an implementation, because it allows us to avoid spending the time going down a wrong path by looking ahead, speaking metaphorically. It should address several aspects:
 +
* Architecture
 +
* Data model
 +
* Algorithm
 +
These aspects are described in greater detail in the following chapters.
  
 
= Architecture =
 
= Architecture =
Line 45: Line 62:
 
** using which protocol
 
** using which protocol
 
** covering what data
 
** covering what data
 
 
 
 
  
 
=== Semantics ===
 
=== Semantics ===
Line 54: Line 67:
 
* What is the purpose of a module?  
 
* What is the purpose of a module?  
 
* What information is exchanged via an interface, what does it do for the use-case?
 
* What information is exchanged via an interface, what does it do for the use-case?
 
 
 
 
  
 
=== Restrictions ===
 
=== Restrictions ===

Revision as of 08:50, 14 August 2023

Customizing UBIK® is a complex endeavor. In this article, we aim to provide a guide and best practices making this task as straight-forward as possible.


[edit]

Strategy

It's important that development of your project is structured well in order to maximize the positive impact of every step you take. An unstructured project will lead to the frequent dismissal of invalid results, going back and forth unnecessarily, because things are done in the wrong order, ignoring the dependencies between tasks.

As a prerequisite for the rest of this article, please consider the following guide: Organize UBIK Development

The above article describes how to manage your project organizationally, but only implicitly covers how to deliver a solution to your problem. Assuming you have set up issue tracking, source code management and documentation, the following steps are recommended.

For the start of a project

  1. Collect the requirements from the customer
  2. Negotiate a functional specification with the customer, to define the scope of the project
  3. Design the top-level architecture
  4. Use the top-down approach to create a Project Structure Plan consisting of Epics, Features and User Stories
  5. Make an effort estimation based on the Project Structure Plan to negotiate a budget with the customer

For a topic throughout the project

  1. Collect the requirements for that topic from the customer or project leader
  2. Create a functional design
  3. Create a technical design
    1. For the choice of appropriate UBIK® tools and features, search the Wiki as described in the respective section
    2. Plan the architecture of your solution
    3. Design a data model
    4. Design the algorithm
  4. Perform the implementation
  5. Perform the QA including manual testing, automatic testing and reviews
  6. Update documentation

Make sure to maintain the Project Structure Plan for non-trivial tasks. In the rest of this article, best practices for the individual steps are described.

See also