• OO design metrics

  • Size (population, volume, length, functionality)

  • Complexity (how classes interrelate to one another)

  • Coupling (physical connections between design elements)

  • Sufficiency (how well design components reflect all properties of the problem domain)

  • Completeness (coverage of all parts of problem domain)

  • Cohesion (manner in which all operations work together)

  • Primitiveness (degree to which attributes and operations are atomic)

  • Similarity (degree to which two or more classes are alike)

  • Volatility (likelihood a design component will change)

• Class-Oriented Metrics

  • Chidamber and Kemerer (CK) Metrics Suite

• weighted metrics per class (WMC)

• depth of inheritance tree (DIT)

• number of children (NOC)

• coupling between object classes (CBO)

• response for a class (RFC)

• lack of cohesion in methods (LCOM)

  • Harrison, Counsel, and Nithi (MOOD) Metrics Suite

• method inheritance factor (MIF)

• coupling factor (CF)

• polymorphism factor (PF)

  • Lorenz and Kidd

• class size (CS)

• number of operations overridden by a subclass (NOO)

• number of operations added by a subclass (NOA)

• specialization index (SI)

• Component-level design metrics

  • Cohesion metrics (data slice, data tokens, glue tokens, superglue tokens, stickiness)

  • Coupling metrics (data and control flow, global, environmental)

  • Complexity metrics (e.g., cyclomatic complexity)

• Operation-Oriented Metrics

  • Average operation size (OSavg)

  • Operation complexity (OC)

  • Average number of parameters per operation (NPavg)

• Interface design metrics (e.G., layout appropriateness)

Halstead's Metrics (Source Code Metrics)

• Overall program length

• Potential minimum algorithm volume

• Actual algorithm volume (number of bits used to specify program)

• Program level (software complexity)

• Language level (constant for given language)

Testing Metrics

• Metrics that predict the likely number of tests required during various testing phases

  • Function-based metrics (e.g., function points)

  • Architectural design metrics

  • Cyclomatic complexity can target modules that are candidates for extensive unit testing

  • Halstead effort

• Metrics that focus on test coverage for a given component

  • Cyclomatic complexity lies at the core of basis path testing

Object-Oriented Testing Metrics

• Encapsulation

  • Lack of cohesion in methods (LCOM)

  • Percent public and protected (PAP)

  • Public access to data members (PAD)

• Inheritance

  • Number of root classes (NOR)

  • Fan in (FIN)

  • Number of children (NOC)

  • Depth of inheritance tree (DIT)

• Class complexity

• Weighted metrics per class (WMC)

• Coupling between object classes (CBO)

• Response for a class (RFC)

Maintenance Metrics

• Software Maturity Index (IEEE Standard 982.1-1988)

• SMI approaches 1.0 as product begins to stabilize