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Artificial intelligence and software testing : building systems you can trust / / Adam Leon Smith [and five others]
| Artificial intelligence and software testing : building systems you can trust / / Adam Leon Smith [and five others] |
| Autore | Smith Adam Leon |
| Pubbl/distr/stampa | Swindon, UK : , : BCS Learning and Development Ltd, , [2022] |
| Descrizione fisica | 1 online resource (194 pages) |
| Disciplina | 006.3 |
| Soggetto topico | Artificial intelligence |
| Soggetto non controllato |
Computer Software
Artificial Intelligence Machine Learning Computers |
| ISBN | 1-78017-578-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Cover -- Half-Title Page -- Bcs, The Chartered Institute For It -- Title Page -- Copyright Page -- Contents -- List of figures and tables -- About the authors -- Abbreviations -- Glossary -- Preface -- 1. Introduction -- The challenges of testing AI -- Summary -- 2. AI Trustworthiness and Quality -- Trustworthiness -- AI quality problems -- A model for measuring AI quality -- Regulation of AI quality -- Summary -- 3. Quality and Bias -- Consequences of the bias definition -- Bias in everyday life -- Unintended bias -- Simpson's paradox -- Summary -- 4. Testing Machine Learning Systems -- The role of a tester -- The nature of ML -- Testing metrics -- Testing techniques -- Testing AI-specific characteristics -- Non-deterministic systems -- Transparency, explainability and interpretability -- Summary -- 5. AI-based Test Automation -- Quality assurance -- Testing versus test automation -- AI in unit test automation -- AI in UI level test automation -- Applying AI to other tasks in software quality assurance -- Evaluating tool support for testing -- Tasks that will likely remain challenging for AI -- Summary -- 6. Ontologies for Software Testing -- About ontologies -- Using ontologies for software testing -- Trends in ontology-driven software testing -- Summary -- 7. Shifting Right into the Metaverse with Digital Twin Testing -- The shift-right approach to testing -- Cognitive engineering principles -- Digital twin concept in shifting right -- Case study: helping the community stay safe during the pandemic -- Case study: Smart City Data Exchange - testing in the metaverse -- Shifting right into the metaverse -- Evolution, over revolution -- Summary -- References -- Index. |
| Record Nr. | UNINA-9910795666703321 |
Smith Adam Leon
|
||
| Swindon, UK : , : BCS Learning and Development Ltd, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial intelligence and software testing : building systems you can trust / / Adam Leon Smith [and five others]
| Artificial intelligence and software testing : building systems you can trust / / Adam Leon Smith [and five others] |
| Autore | Smith Adam Leon |
| Pubbl/distr/stampa | Swindon, UK : , : BCS Learning and Development Ltd, , [2022] |
| Descrizione fisica | 1 online resource (194 pages) |
| Disciplina | 006.3 |
| Soggetto topico | Artificial intelligence |
| Soggetto non controllato |
Computer Software
Artificial Intelligence Machine Learning Computers |
| ISBN | 1-78017-578-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Cover -- Half-Title Page -- Bcs, The Chartered Institute For It -- Title Page -- Copyright Page -- Contents -- List of figures and tables -- About the authors -- Abbreviations -- Glossary -- Preface -- 1. Introduction -- The challenges of testing AI -- Summary -- 2. AI Trustworthiness and Quality -- Trustworthiness -- AI quality problems -- A model for measuring AI quality -- Regulation of AI quality -- Summary -- 3. Quality and Bias -- Consequences of the bias definition -- Bias in everyday life -- Unintended bias -- Simpson's paradox -- Summary -- 4. Testing Machine Learning Systems -- The role of a tester -- The nature of ML -- Testing metrics -- Testing techniques -- Testing AI-specific characteristics -- Non-deterministic systems -- Transparency, explainability and interpretability -- Summary -- 5. AI-based Test Automation -- Quality assurance -- Testing versus test automation -- AI in unit test automation -- AI in UI level test automation -- Applying AI to other tasks in software quality assurance -- Evaluating tool support for testing -- Tasks that will likely remain challenging for AI -- Summary -- 6. Ontologies for Software Testing -- About ontologies -- Using ontologies for software testing -- Trends in ontology-driven software testing -- Summary -- 7. Shifting Right into the Metaverse with Digital Twin Testing -- The shift-right approach to testing -- Cognitive engineering principles -- Digital twin concept in shifting right -- Case study: helping the community stay safe during the pandemic -- Case study: Smart City Data Exchange - testing in the metaverse -- Shifting right into the metaverse -- Evolution, over revolution -- Summary -- References -- Index. |
| Record Nr. | UNINA-9910808154903321 |
|
Smith Adam Leon
|
||
| Swindon, UK : , : BCS Learning and Development Ltd, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data strategy : from definition to execution / / Ian Wallis
| Data strategy : from definition to execution / / Ian Wallis |
| Autore | Wallis Ian (Business journalist) |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Swindon : , : BCS Learning and Development Ltd, , [2021] |
| Descrizione fisica | 1 online resource (449 pages) |
| Disciplina | 658.4012 |
| Soggetto topico |
Business - Data processing - Management
Business planning |
| ISBN |
1-78017-542-6
1-78017-543-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover -- Half-Title Page -- BCS, The Chartered Institute for It -- Title Page -- Copyright Page -- Contents -- Figures and tables -- Author -- Acknowledgements -- Abbreviations -- 1. Introduction: why is a data strategy relevant today? -- 1.1 Data is everywhere -- 1.2 Why is gaining agreement to define and execute a data strategy so difficult? -- 1.3 Data is becoming readily accessible -- 1.4 How does a data strategy help? -- 1.5 The role of this book -- 2. Positioning the data strategy -- 2.1 Terminology - so what is a data strategy? -- 2.2 The relevance of a data strategy -- 2.3 Alignment within the organisation -- 2.4 A successful data strategy - making it clear! -- 2.5 Why is a data strategy important? -- 2.6 Ten to take away -- 3. Setting the scope of the data strategy -- 3.1 What is your goal in developing a data strategy? The importance of context -- 3.2 Readiness and maturity of the organisation -- 3.3 Setting the boundaries - understanding scope and the rationale -- 3.4 Balancing control and exploitation in your data strategy -- 3.5 Ten to take away -- 4. Composing the data strategy -- 4.1 The importance of accessibility -- 4.2 Deliver with PRIDE -- 4.3 The acid test -- 4.4 Ten to take away -- 5. Creating a route map - aim high, plan deep! -- 5.1 Visionary meets realism - how to keep it grounded -- 5.2 What are your timescales? -- 5.3 Waymarkers rather than milestones -- 5.4 Planning for success -- 5.5 Presenting the route map -- 5.6 Ten to take away -- 6. Content, structure and alignment -- 6.1 Approach to defining the content -- 6.2 Determining the content -- 6.3 Logically structuring your content -- 6.4 Strategy alignment -- 6.5 Relevancy is key to enabling effective adoption -- 6.6 Ten to take away -- 7. Communications, culture and change readiness -- 7.1 'Culture eats strategy for breakfast' -- 7.2 Barriers to change.
7.3 Sponsorship -- 7.4 Organisational maturity -- 7.5 Transitioning communications to focus on the delivery of the data strategy -- 7.6 Ten to take away -- 8. Executing the strategy - part one: the plan -- 8.1 The importance of the transition to data strategy execution -- 8.2 Why do data strategy implementations fail? -- 8.3 The planning cycle -- 8.4 Dependencies - the iceberg beneath your implementation plan! -- 8.5 Agility and flexibility in strategy execution -- 8.6 Capability assessment -- 8.7 Avoiding strategy paralysis -- 8.8 Ten to take away -- 9. Executing the strategy - part two: delivery -- 9.1 Assigning roles and responsibilities -- 9.2 Plan for action, prepare for change -- 9.3 Customer engagement -- 9.4 Project teams, a PMO and the data and analytics function -- 9.5 The prioritisation challenge -- 9.6 Requirements -- 9.7 Benefits definition and tracking -- 9.8 Ten to take away -- 10. Flexibility in execution -- 10.1 Managing the impact of change -- 10.2 Assessing impact of change -- 10.3 Capability reassessment and the role of learning and development -- 10.4 Communicating change -- 10.5 A dynamic data strategy -- 10.6 Ten to take away -- 11. Assessing value in data strategy implementation -- 11.1 Evaluation to generate measurement in data strategy implementation -- 11.2 Benefits realisation -- 11.3 Performance frameworks -- 11.4 Earned value -- 11.5 Maturity assessments -- 11.6 Data as an asset - realising value -- 11.7 Ten to take away -- 12. Data Strategy: Completing the journey from definition to execution -- 12.1 Culture - is your strategy heading for the breakfast plate? -- 12.2 Are you really ready to sail? -- 12.3 Revolution versus evolution - the implementation challenge -- 12.4 The tricky triumvirate - prioritisation, dependencies and capabilities -- 12.5 Evaluation and measurement. 12.6 Sponsorship, executive buy-in and stakeholder management -- 12.7 Communications -- 12.8 Aligning and embedding the strategies -- 12.9 Balancing risk -- 12.10 Plan for success -- 12.11 The next wave -- 12.12 Is a data strategy similar for all organisations? -- 12.13 Case studies -- 12.14 Summary of steps - data strategy: from definition to execution -- 12.15 Some final personal reflections -- 12.16 Ten to take away -- Glossary -- Bibliography -- Index -- Back Cover. |
| Record Nr. | UNINA-9910794503603321 |
|
Wallis Ian (Business journalist)
|
||
| Swindon : , : BCS Learning and Development Ltd, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data strategy : from definition to execution / / Ian Wallis
| Data strategy : from definition to execution / / Ian Wallis |
| Autore | Wallis Ian (Business journalist) |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Swindon : , : BCS Learning and Development Ltd, , [2021] |
| Descrizione fisica | 1 online resource (449 pages) |
| Disciplina | 658.4012 |
| Soggetto topico |
Business - Data processing - Management
Business planning |
| ISBN |
1-78017-542-6
1-78017-543-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover -- Half-Title Page -- BCS, The Chartered Institute for It -- Title Page -- Copyright Page -- Contents -- Figures and tables -- Author -- Acknowledgements -- Abbreviations -- 1. Introduction: why is a data strategy relevant today? -- 1.1 Data is everywhere -- 1.2 Why is gaining agreement to define and execute a data strategy so difficult? -- 1.3 Data is becoming readily accessible -- 1.4 How does a data strategy help? -- 1.5 The role of this book -- 2. Positioning the data strategy -- 2.1 Terminology - so what is a data strategy? -- 2.2 The relevance of a data strategy -- 2.3 Alignment within the organisation -- 2.4 A successful data strategy - making it clear! -- 2.5 Why is a data strategy important? -- 2.6 Ten to take away -- 3. Setting the scope of the data strategy -- 3.1 What is your goal in developing a data strategy? The importance of context -- 3.2 Readiness and maturity of the organisation -- 3.3 Setting the boundaries - understanding scope and the rationale -- 3.4 Balancing control and exploitation in your data strategy -- 3.5 Ten to take away -- 4. Composing the data strategy -- 4.1 The importance of accessibility -- 4.2 Deliver with PRIDE -- 4.3 The acid test -- 4.4 Ten to take away -- 5. Creating a route map - aim high, plan deep! -- 5.1 Visionary meets realism - how to keep it grounded -- 5.2 What are your timescales? -- 5.3 Waymarkers rather than milestones -- 5.4 Planning for success -- 5.5 Presenting the route map -- 5.6 Ten to take away -- 6. Content, structure and alignment -- 6.1 Approach to defining the content -- 6.2 Determining the content -- 6.3 Logically structuring your content -- 6.4 Strategy alignment -- 6.5 Relevancy is key to enabling effective adoption -- 6.6 Ten to take away -- 7. Communications, culture and change readiness -- 7.1 'Culture eats strategy for breakfast' -- 7.2 Barriers to change.
7.3 Sponsorship -- 7.4 Organisational maturity -- 7.5 Transitioning communications to focus on the delivery of the data strategy -- 7.6 Ten to take away -- 8. Executing the strategy - part one: the plan -- 8.1 The importance of the transition to data strategy execution -- 8.2 Why do data strategy implementations fail? -- 8.3 The planning cycle -- 8.4 Dependencies - the iceberg beneath your implementation plan! -- 8.5 Agility and flexibility in strategy execution -- 8.6 Capability assessment -- 8.7 Avoiding strategy paralysis -- 8.8 Ten to take away -- 9. Executing the strategy - part two: delivery -- 9.1 Assigning roles and responsibilities -- 9.2 Plan for action, prepare for change -- 9.3 Customer engagement -- 9.4 Project teams, a PMO and the data and analytics function -- 9.5 The prioritisation challenge -- 9.6 Requirements -- 9.7 Benefits definition and tracking -- 9.8 Ten to take away -- 10. Flexibility in execution -- 10.1 Managing the impact of change -- 10.2 Assessing impact of change -- 10.3 Capability reassessment and the role of learning and development -- 10.4 Communicating change -- 10.5 A dynamic data strategy -- 10.6 Ten to take away -- 11. Assessing value in data strategy implementation -- 11.1 Evaluation to generate measurement in data strategy implementation -- 11.2 Benefits realisation -- 11.3 Performance frameworks -- 11.4 Earned value -- 11.5 Maturity assessments -- 11.6 Data as an asset - realising value -- 11.7 Ten to take away -- 12. Data Strategy: Completing the journey from definition to execution -- 12.1 Culture - is your strategy heading for the breakfast plate? -- 12.2 Are you really ready to sail? -- 12.3 Revolution versus evolution - the implementation challenge -- 12.4 The tricky triumvirate - prioritisation, dependencies and capabilities -- 12.5 Evaluation and measurement. 12.6 Sponsorship, executive buy-in and stakeholder management -- 12.7 Communications -- 12.8 Aligning and embedding the strategies -- 12.9 Balancing risk -- 12.10 Plan for success -- 12.11 The next wave -- 12.12 Is a data strategy similar for all organisations? -- 12.13 Case studies -- 12.14 Summary of steps - data strategy: from definition to execution -- 12.15 Some final personal reflections -- 12.16 Ten to take away -- Glossary -- Bibliography -- Index -- Back Cover. |
| Record Nr. | UNINA-9910827044403321 |
|
Wallis Ian (Business journalist)
|
||
| Swindon : , : BCS Learning and Development Ltd, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
