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Measuring the Quality of Web Artifacts

Universidad Nacional de La Pampa Universidad Nacional de La Plata Argentina. Web-site QEM. Measuring the Quality of Web Artifacts. MSE Luis Olsina Dr Gustavo Rossi. Goals. Evaluation of Product Quality Web Sites Standard-based Quality Model ISO/IEC 9126 Characteristics

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Measuring the Quality of Web Artifacts

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  1. Universidad Nacional de La Pampa Universidad Nacional de La Plata Argentina Web-site QEM Measuring the Quality of Web Artifacts MSE Luis Olsina Dr Gustavo Rossi MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  2. Goals • Evaluation of Product Quality • Web Sites • Standard-based Quality Model • ISO/IEC 9126 Characteristics • Customized Subcharacteristics • Expert-centered Evaluation • Quantitative Evaluation, Comparison and Ranking MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  3. Motivations • Evaluation of Web Artifact is a Complex Issue • There is not yet a widely recognized Quantitative Methodology to the Web • How do we represent and select characteristics and attributes for the Web ? • Web artifacts are both document oriented and application oriented • Characteristics and attributes can serve as a baseline for new requirements MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  4. Overview of Web-site QEM MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  5. Web-site QEM Steps • The selection of a set of sites (domain specific) • The specification of goals and the user view • The definition of Web-site quality requirements MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  6. Web-site QEM Steps • The definition of elementary criteria and measurement process • The aggregation of elementary preferences to yield the global quality preferences and calculation • The analysis of partial and global quality preferences MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  7. High-level Characteristics ofISO/IEC 9126 • Usability • Functionality • Reliability • Efficiency • Maintainability • Portability MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  8. High-level Characteristics (Usability) • Usability : “A set of attributes that bear on the effort needed for use, and on the individual assessment of such use, by a stated or implied set of users” • Sub-characteristics ISO 9126 • Understandability • Learnability • Operability • IEEE 1061 • Understandability • Easy of Learning • Operability • Communicativeness MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  9. High-level Characteristics (Efficiency) • Efficiency: “A set of attributes that bear on the relationship between the level of performance of the software and the amount of resources used, under stated conditions” • Sub-characteristics • Time behavior • Resource behavior MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  10. Web-site Characteristics and Attributes • 1. Usability • 1.1 Global Site Understandability • 1.2 Feedback and Help Features • 1.3 Interface and Aesthetic Features • 1.4 Miscellaneous Features • 4. Efficiency • 4.1 Performance • 4.2 Accessibility MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  11. Web-site Usability • 1. Usability • 1.1 Global Site Understandability • 1.1.1 Global Organization Scheme • 1.1.1.1 Site Map • 1.1.1.2 Alphabetical Index • 1.1.1.3 Table of Content • 1.1.2 Quality of Labeling System • 1.1.3 Guided Tour • 1.1.3.1Conventional Tour • 1.1.3.2 Virtual Tour (*) • 1.1.4 Floor and Room Image Map MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  12. Specifying the Table of Content Attribute MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  13. Specifying the Quick Access PagesAttribute MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  14. Elementary Quality Preferencesfor the Museum Case Study MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  15. Scoring Models • Additive Linear Model (T.Gilb) Global indicator or score =  (component weight x elemental indicator) • Logic Scoring of Preference Model (J. Dujmovic) Weighted Power Mean • Simultaneity • Replaceability, • Neutrality, • Symmetric and Asymmetric Relationships MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  16. LSP Model - Logic Operators MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  17. LSP Model - Aggregation Mechanism MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  18. Metropolitan Louvre Prado National Gallery of Art Final Rankingfor the Museum Case Study MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  19. Benefits of Web-site QEM • It allows the Understanding • Evaluate the state-of-the-art of Operative Web sites • Absent Sub-characteristics and Attributes • Design Problems (Interface, Navigation, Content, Performance, ...) • Requirements Poorly Implemented • State and control Quality Requirements to New Projects • It allows to give Recommendations • It allows the Improvement MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

  20. Thank you for the attendance ! GIDIS (UNLPam) Grupo de Investigación y Desarrollo en Ingeniería de Software URL:http://gidis.ing.unlpam.edu.ar LIFIA (UNLP) Laboratorio de Investigación y Formación en Informática Avanzada URL:http://www-lifia.info.unlp.edu.ar MSE Luis Olsina - GIDIS - olsinal@ing.unlpam.edu.ar

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