|Version 10 (modified by 8 years ago) ( diff ),|
Code Quality Evaluation Guidelines
Table of Contents
The general quality requirements are defined here as attributes of the solution that is to be evaluated ("The solution must be ...").
These attributes are grouped in four quality "levels" - a higher level representing a higher quality standard.
Projects can refer to these levels to define minimum quality goals, to prioritize certain quality aspects vs. other requirements, or to define an iterative approach of continuous quality improvement.
In order to pass a level, all criteria of this level and all previous levels must be met.
|Level||Priority (MoSCoW)||Key Attributes||Description|
|0 - Experimental||-||-||any solution that does not (yet) meet all criteria of level 1|
|1 - Minimal||Must||valid, correct, safe||minimum standard for any solution|
|2 - Appropriate||Should||usable, maintainable, secure||minimum standard for production use|
|3 - Good||Can||integrated, configurable, robust||long-term development goals|
|4 - Optimal||Want||efficient, scalable, interoperable||optimization and enhancement goals|
Level 1: Minimal
"Writing the right code"
- The specified solution solves the targeted problem and meets the minimum functional requirements
- The required input data are available in the target scenario
- The user actions required to apply and/or use the solution or its responses are possible in the target scenario
- All dependencies of the feature set are resolvable, and hardware and infrastructure requirements can be met in the target scenario
"Writing the code right"
- Processing does not fail for any valid input data or user action.
- All responses are correct for the respective input data or user actions according to the specification
- The solution does not break functionality of the application (except for functionality it replaces)
- All processing always ends with a valid database status regardless whether it succeeds or fails
- All failed processes are effectively removed from the system and their transactions properly rolled back
- The solution effectively prevents uncontrolled indefinite object or process proliferation
- The solution always returns to a defined system status after a failure so that the application remains accessible
Level 2: Appropriate
- The solution applies all relevant system configurations for authentication, authorization and accounting (AAA) appropriately and correctly.
- The solution does not allow the user to perform actions or initiate processes beyond the intended functionality.
- The solution can be used by the intended user group in the target scenario, i.e. the users can:
- discover and access the features
- understand and perform the required user actions
- understand and control the consequences of actions
- understand and provide the required type, quality and format of input data
- discover and access the results, and apply them to achieve their goals
Level 3: Good
- The solution applies the application framework appropriately and correctly
- The data structures defined in the solution are consistent with the global application data model
- The solution interoperates appropriately and correctly with other system components
- The solution applies the application's global design and style guidelines
- The feature set can be easily and safely turned on and off without inadvertent side-effects
- The feature set applies global configuration settings correctly and consistently
- Processing parameters, behavior and/or appearance of the solution can be adapted to requirements variations using configuration patterns outside of its core code
Level 4: Optimal
The following advanced quality criteria that can be used to compare different solutions, or to define quality roadmaps beyond the standard criteria.
However, these advanced criteria do not enhance the general quality levels: a level-2 solution is still of lower quality than a level-3 solution - regardless how many advanced criteria the level-2 solution fulfills.