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About: Worksheet is a research topic. Over the lifetime, 1961 publications have been published within this topic receiving 12392 citations.

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03 Aug 2005
TL;DR: In this paper, the authors present a system for hazard analysis based on the idea of fault trees, and present a set of guidelines to avoid common mistakes in such a system, as well as some advantages and disadvantages of using fault trees.
Abstract: PREFACE. ACKNOWLEDGMENTS. 1. System Safety. 1.1 Introduction. 1.2 System Safety Background. 1.3 System Safety Characterization. 1.4 System Safety Process. 1.5 System Concept. 1.6 Summary. 2. Hazards, Mishap, and Risk. 2.1 Introduction. 2.2 Hazard-Related Definitions. 2.3 Hazard Theory. 2.4 Hazard Actuation. 2.5 Hazard Causal Factors. 2.6 Hazard-Mishap Probability. 2.7 Recognizing Hazards. 2.8 Hazard Description. 2.9 Summary. 3. Hazard Analysis Types and Techniques. 3.1 Types and Techniques. 3.2 Description of Hazard Analysis Types. 3.3 Timing of Hazard Analysis Types. 3.4 Interrelationship of Hazard Analysis Types. 3.5 Hazard Analysis Techniques. 3.6 Inductive and Deductive Techniques. 3.7 Qualitative and Quantitative Techniques. 3.8 Summary. 4. Preliminary Hazard List. 4.1 Introduction. 4.2 Background. 4.3 History. 4.4 Theory. 4.5 Methodology. 4.6 Worksheet. 4.7 Hazard Checklists. 4.8 Guidelines. 4.9 Example: Ace Missile System. 4.10 Advantages and Disadvantages. 4.11 Common Mistakes to Avoid. 4.12 Summary. 5. Preliminary Hazard Analysis. 5.1 Introduction. 5.2 Background. 5.3 History. 5.4 Theory. 5.5 Methodology. 5.6 Worksheet. 5.7 Guidelines. 5.8 Example: Ace Missile System. 5.9 Advantages and Disadvantages. 5.10 Common Mistakes to Avoid. 5.11 Summary. 6. Subsystem Hazard Analysis. 6.1 Introduction. 6.2 Background. 6.3 History. 6.4 Theory. 6.5 Methodology. 6.6 Worksheet. 6.7 Guidelines. 6.8 Example: Ace Missile System. 6.9 Advantages and Disadvantages. 6.10 Common Mistakes to Avoid. 6.11 Summary. 7. System Hazard Analysis. 7.1 Introduction. 7.2 Background. 7.3 History. 7.4 Theory. 7.5 Methodology. 7.6 Worksheet. 7.7 Guidelines. 7.8 Example. 7.9 Advantages and Disadvantages. 7.10 Common Mistakes to Avoid. 7.11 Summary. 8. Operating and Support Hazard Analysis. 8.1 Introduction. 8.2 Background. 8.3 History. 8.4 Definitions. 8.5 Theory. 8.6 Methodology. 8.7 Worksheet. 8.8 Hazard Checklists. 8.9 Support Tools. 8.10 Guidelines. 8.11 Examples. 8.12 Advantages and Disadvantages. 8.13 Common Mistakes to Avoid. 8.14 Summary. 9. Health Hazard Assessment. 9.1 Introduction. 9.2 Background. 9.3 History. 9.4 Theory. 9.5 Methodology. 9.6 Worksheet. 9.7 Checklist. 9.8 Example. 9.9 Advantages and Disadvantages. 9.10 Common Mistakes to Avoid. 9.11 Summary. 10. Safety Requirements/Criteria Analysis. 10.1 Introduction. 10.2 Background. 10.3 History. 10.4 Theory. 10.5 Methodology. 10.6 Worksheets. 10.7 Example. 10.8 Advantages and Disadvantages. 10.9 Common Mistakes to Avoid. 10.10 Summary. 11. Fault Tree Analysis. 11.1 Introduction. 11.2 Background. 11.3 History. 11.4 Theory. 11.5 Methodology. 11.6 Functional Block Diagrams. 11.7 Cut Sets. 11.8 MOCUS Algorithm. 11.9 Bottom-Up Algorithm. 11.10 Mathematics. 11.11 Probability. 11.12 Importance Measures. 11.13 Example 1. 11.14 Example 2. 11.15 Example 3. 11.16 Phase- and Time-Dependent FTA. 11.17 Dynamic FTA. 11.18 Advantages and Disadvantages. 11.19 Common Mistakes to Avoid. 11.20 Summary. 12. Event Tree Analysis. 12.1 Introduction. 12.2 Background. 12.3 History. 12.4 Definitions. 12.5 Theory. 12.6 Methodology. 12.7 Worksheet. 12.8 Example 1. 12.9 Example 2. 12.10 Example 3. 12.11 Example 4. 12.12 Advantages and Disadvantages. 12.13 Common Mistakes to Avoid. 12.14 Summary. 13. Failure Mode and Effects Analysis. 13.1 Introduction. 13.2 Background. 13.3 History. 13.4 Definitions. 13.5 Theory. 13.6 Methodology. 13.7 Worksheet. 13.8 Example 1: Hardware Product FMEA. 13.9 Example 2: Functional FMEA. 13.10 Level of Detail. 13.11 Advantages and Disadvantages. 13.12 Common Mistakes to Avoid. 13.13 Summary. 14. Fault Hazard Analysis. 14.1 Introduction. 14.2 Background. 14.3 History. 14.4 Theory. 14.5 Methodology. 14.6 Worksheet. 14.7 Example. 14.8 Advantages and Disadvantages. 14.9 Common Mistakes to Avoid. 14.10 Summary. 15. Functional Hazard Analysis. 15.1 Introduction. 15.2 Background. 15.3 History. 15.4 Theory. 15.5 Methodology. 15.6 Worksheets. 15.7 Example 1: Aircraft Flight Functions. 15.8 Example 2: Aircraft Landing Gear Software. 15.9 Example 3: Ace Missile System. 15.10 Advantages and Disadvantages. 15.11 Common Mistakes to Avoid. 15.12 Summary. 16. Sneak Circuit Analysis. 16.1 Introduction. 16.2 Background. 16.3 History. 16.4 Definitions. 16.5 Theory. 16.6 Methodology. 16.7 Example 1: Sneak Path. 16.8 Example 2: Sneak Label. 16.9 Example 3: Sneak Indicator. 16.10 Example Sneak Clues. 16.11 Software Sneak Circuit Analysis. 16.12 Advantages and Disadvantages. 16.13 Common Mistakes to Avoid. 16.14 Summary. 17. Petri Net Analysis (PNA). 17.1 Introduction. 17.2 Background. 17.3 History. 17.4 Definitions. 17.5 Theory. 17.6 Methodology. 17.7 Examples. 17.8 Advantages and Disadvantages. 17.9 Common Mistakes to Avoid. 17.10 Summary. 18. Markov Analysis. 18.1 Introduction. 18.2 Background. 18.3 History. 18.4 Definitions. 18.5 Theory. 18.6 Methodology. 18.7 Examples. 18.8 Markov Analysis and FTA Comparisons. 18.9 Advantages and Disadvantages. 18.10 Common Mistakes to Avoid. 18.11 Summary. 19. Barrier Analysis. 19.1 Introduction. 19.2 Background. 19.3 History. 19.4 Definitions. 19.5 Theory. 19.6 Methodology. 19.6.1 Example Checklist of Energy Sources. 19.6.2 Considerations. 19.7 Worksheet. 19.8 Example. 19.9 Advantages and Disadvantages. 19.10 Common Mistakes to Avoid. 19.11 Summary. 20. Bent Pin Analysis. 20.1 Introduction. 20.2 Background. 20.3 History. 20.4 Theory. 20.5 Methodology. 20.6 Worksheet. 20.7 Example. 20.8 Advantages and Disadvantages. 20.9 Common Mistakes to Avoid. 20.10 Summary. 21. Hazard and Operability Analysis. 21.1 Introduction. 21.2 Background. 21.3 History. 21.4 Theory. 21.5 Methodology. 21.5.1 Design Representations. 21.5.2 System Parameters. 21.5.3 Guide Words. 21.5.4 Deviation from Design Intent. 21.6 Worksheet. 21.7 Example 1. 21.8 Example 2. 21.9 Advantages and Disadvantages. 21.10 Common Mistakes to Avoid. 21.11 Summary. 22. Cause-Consequence Analysis. 22.1 Introduction. 22.2 Background. 22.3 History. 22.4 Definitions. 22.5 Theory. 22.6 Methodology. 22.7 Symbols. 22.8 Worksheet. 22.9 Example 1: Three-Component Parallel System. 22.10 Example 2: Gas Pipeline System. 22.10.1 Reducing Repeated Events. 22.11 Advantages and Disadvantages. 22.12 Common Mistakes to Avoid. 22.13 Summary. 23. Common Cause Failure Analysis. 23.1 Introduction. 23.2 Background. 23.3 History. 23.4 Definitions. 23.5 Theory. 23.6 Methodology. 23.7 Defense Mechanisms. 23.8 Example. 23.9 Models. 23.10 Advantages and Disadvantages. 23.11 Common Mistakes to Avoid. 23.12 Summary. 24. Management Oversight Risk Tree Analysis. 24.1 Introduction. 24.2 Background. 24.3 History. 24.4 Theory. 24.5 Methodology. 24.6 Worksheet. 24.7 Advantages and Disadvantages. 24.8 Common Mistakes to Avoid. 24.9 Summary. 25. Software Safety Assessment. 25.1 Introduction. 25.2 Background. 25.3 History. 25.4 Theory. 25.5 Methodology. 25.6 Worksheet. 25.7 Software Risk Level. 25.8 Example. 25.9 Advantages and Disadvantages. 25.10 Common Mistakes to Avoid. 25.11 Summary. 26. Summary. 26.1 Principle 1: Hazards, Mishaps, and Risk are Not Chance Events. 26.2 Principle 2: Hazards are Created During Design. 26.3 Principle 3: Hazards are Comprised of Three Components. 26.4 Principle 4: Hazard and Mishap Risk Management Is the Core Safety Process. 26.5 Principle 5: Hazard Analysis Is a Key Element of Hazard and Mishap Risk Management. 26.6 Principle 6: Hazard Management Involves Seven Key Hazard Analysis Types. 26.7 Principle 7: Hazard Analysis Primarily Encompasses Seven Hazard Analysis Techniques. 26.8 Finis. Appendix A: List of Acronyms. Appendix B: Glossary. Appendix C: Hazard Checklists. Index.

683 citations

Journal ArticleDOI
TL;DR: An intuitive and rapid procedure for analyzing experimental data by nonlinear least-squares fitting (NLSF) in the most widely used spreadsheet program, using the well-known Michaelis–Menten equation characterizing simple enzyme kinetics.
Abstract: We describe an intuitive and rapid procedure for analyzing experimental data by nonlinear least-squares fitting (NLSF) in the most widely used spreadsheet program. Experimental data in x/y form and data calculated from a regression equation are inputted and plotted in a Microsoft Excel worksheet, and the sum of squared residuals is computed and minimized using the Solver add-in to obtain the set of parameter values that best describes the experimental data. The confidence of best-fit values is then visualized and assessed in a generally applicable and easily comprehensible way. Every user familiar with the most basic functions of Excel will be able to implement this protocol, without previous experience in data fitting or programming and without additional costs for specialist software. The application of this tool is exemplified using the well-known Michaelis-Menten equation characterizing simple enzyme kinetics. Only slight modifications are required to adapt the protocol to virtually any other kind of dataset or regression equation. The entire protocol takes approximately 1 h.

439 citations

01 Jan 1999
TL;DR: Part One: Helping Students Learn.
Abstract: Part One: Helping Students Learn 1 Introduction National Curriculum Standards Content-Based Language Instruction Portfolio Assessment The Cognitive Academic Language Learning Approach (CALLA) How to Use This Book 2 Metacognitive Model of Strategic Learning The Metacognitive Model Individual Strategies in the Metacognitive Model of Strategic Learning 3 Instructional Framework Factors Facilitating Effective Strategies Instruction An Instructional Framework Part Two: CALLA Strategies Step by Step 4 Phase 1: Preparation Creating the Learner-Centered Classroom Self-Efficacy for Language Learning and Strategies Identifying Students' Existing Learning Strategies 5 Phase 2: Presentation General Guidelines for Presenting Learning Strategies Suggested Activities for Presenting Learning Strategies 6 Phase 3: Practice General Guidelines for Practicing Learning Strategies Suggested Activities for Practicing Learning Strategies 7 Phase 4: Evaluation General Guidelines for Evaluating Learning Strategies Suggested Activities for Evaluating Learning Strategies 8 Phase 5: Expansion General Guidelines for Expanding the Use of Learning Strategies Suggested Activities for Expanding the Application of Learning Strategies Part Three: From Theory through Practice 9 Theoretical Background and research on Learning Strategies Learning Theories Supporting the Use and Development of Learning Strategies Insights from Learning Strategies Research 10 Language Learning Strategies Lessons Organization of the Lessons How to Use the Lessons Using Background Knowledge Writing about Family Setting Goals Setting Language Learning Goals Worksheet: Set Goals Checking Goals Evaluating Progress toward Goals Worksheet: Check Goals Selective Attention CircleStep Using Background Knowledge/Ask If It Makes Sense Answering Comprehension Questions Worksheet: Guidelines for Answering Comprehension Questions Cooperation Preparing to Read Worksheet: Group Report Deduction Applying Rules When Reading Groupin Learning Vocabulary Worksheet: English Vocabulary for Technology Evaluating Strategies Identifying and Evaluating Strategies to Unlock the Meaning of New Words Worksheet: What Strategies Are You Using to Figure Out the Meanings of New Words? Prediction / Verification through Summarizing Reading a Russian Fairy Tale Worksheet: Prediction and Verification through Summarizing Imagery Using Storytelling to Teach Imagery Inferencing/Using Resources Finding the Meaning from the Text Organizational Planning/Self-Management Writing Folk Tales Worksheet: Are You Your Own Boss? Personalization/Note-Taking A Person You'll Never forget Worksheet: The Person I Will Never Forget Prediction Predicting with Storytelling Worksheet: The Tailor Evaluate Yourself/Take Notes/Selective Attention/Talk Yourself Through It Presenting Oral Reports on Science Projects Self-Talk Applying Positive Self-Talk to Speaking Tasks Worksheet: Using Self-Talk Substitution Substituting for Unknown Descriptive Words Summarize Summarizing a Story References Index

400 citations

22 Jan 2008
TL;DR: In this paper, the authors present a review of the role of attribute analysis in strategy development in the context of low-fare airlines and discuss the relationship between attributes and strategic architecture.
Abstract: Preface. Acknowledgements. How to Use This Book. Chapter 1. Performance through time. The performance imperative. The management challenge: improving future performance. Timescales. Performance aims in different contexts. Functional performance objectives. Information needs. Case example: performance of Ryanair, the low-fare airline. Suggested questions and exercises. Using Worksheet 1. Worksheet 1. Notes. Chapter 2. Resources drive performance. From performance to resources. The resource-based view of strategy. Identifying, specifying and measuring tangible resources. Suggested questions and exercises. Using Worksheet 2. Worksheet 2. Notes. Chapter 3. Resource accumulation. Winning and keeping resources: "bathtub behaviour". Defining and measuring resources and their flows. Resource flows change over time. Practical examples of the importance of resource flows. Resource building in Ryanair. What drives resource flows? Changing state versus changing activity. Segmentation. Casual ambiguity and problems with correlation. Resources, flows and the value chain analysis. Adding "lumps" of resource. Suggested questions and exercises. Using Worksheet 3. Worksheet 3. Notes. Chapter 4. The strategic architecture. Interdependence: resource flows depend on existing resource levels. Feedback effects arising from interdependence. The strategic architecture. The strategic architecture and other approaches to mapping strategy. Suggested questions and exercises. Using Worksheets 4 and 5. Worksheet 4. Worksheet 5. Notes. Chapter 5. Resource attibutes. 'Attributes' of tangible resources. Resources and attribute "co-flows". The resource quality curve. Attributes that bring access to other potential resources. Resources carrying multiple attributes. Resources attributes and performance at Ryanair. Other uses of the resource attribute concept. Incorporating attribute analysis in strategy development. Suggested questions and exercises. Using Worksheets 6a, b and c. Worksheet 6a. Worksheet 6b. Worksheet 6c. Notes. Chapter 6. Resource development. Resource development within the organization. Developing resources beyond the organization's boundaries. Resource development in noncommercial cases. Resource development in Ryanair and other airlines. Relating resource development to the strategic architecture. Using Worksheets 7a-d, 8 and 9. Worksheet 7a. Worksheet 7b. Worksheet 7c. Worksheet 7d. Worksheet 8. Worksheet 9. Notes. Chapter 7. The dynamics of rivalry. Illustrating the three types of rivalry: coffee stores. Further issues in type-1 rivalry. Extending type-2 rivalry. Extending type-3 rivalry. Extending rivalry to resources other than customers. Rivalry in noncommercial situations. Dealing with multiple competitors. Rivalry in the low-fare airline industry. Suggested questions. Using Worksheets 10-12. Worksheet 10a. Worksheet 10b. Worksheet 11. Worksheet 12. Notes. Chapter 8. Goals and controls. Evaluating strategic opportunities. Choosing a strategy. Designing a path to success. Steering strategy. Policy to control strategy. Strategy, policy and competition. Conflicting objectives. When multiple decisions affect the same resource. Suggested questions and exercises. Using worksheet 13. Worksheet 13. Notes. Chapter 9. Intangible resources. Intangibles concerning state-of-mind. Information-based intangible resources. Quality-based intangibles. Integrating intangible resources into the strategic architecture. Suggested questions and exercises. Using worksheet 14. Notes. Chapter 10. Capabilities. Example of capability effects. Capabilities and business processes. Developing capabilities: learning. Capabilities and organizational learning. Suggested questions and exercises. Using worksheets 15a and 15b. Worksheet 15a. Worksheet 15b. Notes. Index.

184 citations

15 Dec 2000
TL;DR: The Function Point Counting Process is illustrated with an Example of Counting ILFs and EIFs, as well as three case studies in Project Management, which show the challenges and opportunities in establishing and applying function points in the software measurement industry.
Abstract: Foreword. Preface. Introduction. Basic Counting Rules. Advanced Counting. Preparing for Certification. What's Different? Software Measurement. Function Points and the Executive. Function Point Utilization. Automation. Industry Benchmarking Data. The International Function Point Users Group. About the Authors. 1. Software Measurement. Introduction. The Need for Software Measurement. Basic Software Measurement Elements. Software Measurement Model: Quantitative and Qualitative Elements. World-Class Measurement Program. Entry Level. Basic Level. Industry Leader Level. World-Class Level. Establishing a World-Class Measurement Program. Discovery Phase. Gap Analysis Phase. Summary. 2. Executive Introduction to Function Points. Introduction. Historical Perspective. Balanced Scorecard. Return on Investment. Unit of Work. Function Points. Defining Value. Time to Market. Accountability. Summary. 3. Measuring with Function Points. Introduction. Function Points in the Lifecycle. Function Point Measures. Productivity. Quality. Financial. Maintenance. Using Function Point Measurement Data Effectively. Developing a Measurement Profile. Available Industry Comparisons. Summary. 4. Using Function Points Effectively. Introduction. Project Manager Level: Estimating Software Projects. Using Function Points. IT Management Level: Establishing Performance Benchmarks. Industry Best Practices. Organization Level: Establishing Service-Level Measures. Project and Application Outsourcing. Maintenance Outsourcing. AD/M Outsourcing. Summary. 5. Software Industry Benchmark Data. Introduction. How IT Is Using Industry Data. Benchmarking. Concerns with Industry Data. Representativeness. Consistency. Standard Definitions. What Role Do Function Points Play? Sources of Industry Data. The Gartner Group. META Group. Rubin Systems, Inc. Software Productivity Research. ISBSG. Compass America. The David Consulting Group. The Benchmarking Exchange. Hackett Benchmarking & Research. Hope for the Future. Summary. 6. Introduction to Function Point Analysis. Introduction. The Function Point Counting Process. The Process Used to Size Function Points. Types of Counts. Identifying the Counting Scope and the Application Boundary. Summary. 7. Sizing Data Functions. Introduction. Data Functions. Internal Logical Files. External Interface Files. Complexity and Contribution: ILFs and EIFs. An Example of Counting ILFs and EIFs. Summary. 8. Sizing Transactional Functions. Introduction. Transactional Functions. External Inputs. Complexity and Contribution: EIs. An Example of Counting EIs. External Outputs. Complexity and Contribution: EOs. An Example of Counting EOs. External Inquiries. Complexity and Contribution: EQs. An Example of Counting EQs. Summary. 9. GENERAL SYSTEM CHARACTERISTICS. Introduction. The Process. General System Characteristics. 1. Data Communications. 2. Distributed Data Processing. 3. Performance. 4. Heavily Used Configuration. 5. Transaction Rate. 6. Online Data Entry. 7. End User Efficiency. 8. Online Update. 9. Complex Processing. 10. Reusability. 11. Installation Ease. 12. Operational Ease. 13. Multiple Sites. 14. Facilitate Change. Value Adjustment Factor. Summary. 10. Calculating and Applying Function Points. Introduction. Final Adjusted Function Point Count. Counting a Catalog Business: An Example. Function Point Calculations and Formulas. Development Project Function Point Count. Enhancement Project Function Point Count. Application Function Point Count. Summary. 11. Case Studies in Counting. Introduction. Three Case Studies. Problem A. Problem B. Problem C. Answers to the Three Case Studies. A Short Case Study in Project Management. The Problem. Answers. A Function Point Counting Exercise in Early Definition. The Problem. Answers. 12. Counting Advanced Technologies. Introduction. Object-Oriented Analysis. Client-Server Applications. Application Boundary. Data Functions. Technical Features. Transactional Functions. Web-Based Applications. Application Boundary. Functionality of Web-Based Applications. Data Warehouse Applications. Functionality of Data Warehouse Applications. Concerns about Productivity Rates for Data Warehouse Applications. Query/Report Generators. Data Functionality. Transactional Functionality. Summary. 13. Counting a GUI Application. Introduction. Counting GUI Functionality. GUI Counting Guidelines. Exercise in Counting a GUI System. 1. Determine the Type of Function Point Count. 2. Identify the Counting Scope and the Application Boundary. 3 and 4. Identify All Data and Transactional Functions and Their Complexity. 5. Determine the Unadjusted Function Point Count. 6. Determine the Value Adjustment Factor. 7. Calculate the Final Adjusted Function Point Count. 14. Counting an Object-Oriented Application. Introduction. Functional Description of Personnel Query Service. Starting Personnel Query Service. Query. Update. Create. Delete. Add and Delete Title, Location, and Organization Records. Add and Delete an Employee's Picture. Exit. Object Model for Personnel Query Service. System Diagram for Personnel Query Service. Function Point Analysis for Personnel Query Service. 15. Tools. Introduction. Basic Tool Selection Criteria. Selecting a Function Point Repository Tool. Selecting a Project-Estimating Tool. Conducting a Proof of Concept. 1. Identification of the Current Estimating Problem. 2. Definition of the Deliverable. 3. Process and Tool Selection. 4. Project Selection. 5. Review of the Estimating Process with the Project Managers. 6. Sizing and Complexity Analysis. 7. Identification of Project Variables. 8. Analysis of the Data. 9. Review of the Estimate. 10. Assessment of the Process. Summary. 16. Preparing for the CFPs Exam. Practice Certified Function Point Specialist Exam. Part I. Part II. Part III. Answer Sheets. Answer Sheet: Part I. Answer Sheet: Part II. Answer Sheet: Part III. Appendix A: Project Profile Worksheet. Appendix B: Project Profile Worksheet Guidelines. Appendix C: Complexity Factors Project Worksheet. Appendix D: Sample Project Analysis. Appendix E: Frequently Asked Questions (FAQs). Appendix F: Answers to the CFPS Practice Exam. Answers to the CFPS Practice Exam. Bibliography. Index. 0201699443T04062001

163 citations

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