1 / 13

OO Technical Metrics

OO Technical Metrics. CIS 375 Bruce R. Maxim UM-Dearborn. Goals for Using OO Metrics. To better understand product quality To assess process effectiveness To improve quality of the work performed at the project level. OO Metric Characteristics - 1. Localization

shakti
Download Presentation

OO Technical Metrics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. OO Technical Metrics CIS 375 Bruce R. Maxim UM-Dearborn

  2. Goals for Using OO Metrics • To better understand product quality • To assess process effectiveness • To improve quality of the work performed at the project level

  3. OO Metric Characteristics - 1 • Localization • OO metrics need to apply to the class as a whole and should reflect the manner in which classes collaborate with one another • Encapsulation • OO metrics chosen need to reflect the fact that class responsibilities, attributes, and operations are bound as a single unit • Information hiding • OO metrics should provide an indication of the degree to which information hiding has been achieved

  4. OO Metric Characteristics - 2 • Inheritance • OO metrics should reflect the degree to which reuse of existing classes has been achieved • Abstraction • OO metrics represent abstractions in terms of measures of a class (e.g. number of instances per class per application)

  5. OOD Model Metrics - 1 • 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

  6. OOD Model Metrics - 2 • Completeness • coverage of all parts of problem domain • Cohesion • manner in which all operations work together • Primitiveness • degree attributes and operations are atomic • Similarity • degree of similarity between two or more classes • Volatility • likelihood a design component will change

  7. Class-Oriented Metrics - 1 • 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)

  8. Class-Oriented Metrics - 2 • 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)

  9. Class-Oriented Metrics - 3 • Harrison, Counsel, and Nithi (MOOD) Metrics Suite • method inheritance factor (MIF) • coupling factor (CF) • polymorphism factor (PF)

  10. Operation-Oriented Metrics • Average operation size (OSavg) • Operation complexity (OC) • Average number of parameters per operation (NPavg)

  11. OO Test Metrics - 1 • 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)

  12. OO Test Metrics - 2 • Class complexity • weighted metrics per class(WMC) • coupling between object classes (CBO) • response for a class (RFC)

  13. OO Product Metrics • Number of scenario scripts (NSS) • Number of key classes (NKC) • Number of subsystems(NSUB)

More Related