13.5.2 Identifying improvements

• Order the phases of the problem-solving process:

  1️⃣ Understanding the Problem

  2️⃣ Planning the Solution

  3️⃣ Implementing the Plan

  4️⃣ Evaluating the Solution
• What is the first phase of the problem-solving process?

  Understanding the problem
• The second phase of the problem-solving process involves developing a detailed plan
• What is the main activity in the third phase of problem-solving?

  Write documented code
• Using mind maps can improve clarity in the understanding the problem phase.
• What does applying coding standards improve?

  Readability and maintainability
• Steps in prioritizing and selecting improvements

  1️⃣ Identify potential improvements

  2️⃣ Evaluate impact

  3️⃣ Consider cost

  4️⃣ Rank improvements

  5️⃣ Select improvements
• Using mind maps for understanding the problem has a high impact but medium cost.
• Order the phases of the initial problem-solving process:

  1️⃣ Understanding the Problem

  2️⃣ Planning the Solution

  3️⃣ Implementing the Plan

  4️⃣ Evaluating the Solution
• Gathering user feedback helps understand user satisfaction and usability
• What metrics are monitored to identify bottlenecks in performance?

  Execution time, memory usage
• Code analysis tools can assess code quality and adherence to standards.
• In the problem-solving process, clarity of objectives is a key consideration during the understanding phase.
• Efficiency is a key consideration when planning the solution.
• What is the formula representing the relationship between the problem statement, constraints, and expected output?

  $Expected Output =$$Plan(Problem Statement, Constraints)$
• Match the phases of the problem-solving process with their descriptions:

  Understanding the Problem ↔️ Analyse the problem statement

  Planning the Solution ↔️ Develop a detailed plan

  Implementing the Plan ↔️ Write well-structured code

  Evaluating the Solution ↔️ Test performance and usability
• Order the methods for collecting data and information:

  1️⃣ User Feedback

  2️⃣ Performance Metrics

  3️⃣ Code Quality

  4️⃣ Log Files

  5️⃣ Profilers
• What is an example of gathering user feedback to understand satisfaction?

  Asking users to rate features
• Profilers are used to identify CPU-intensive methods
• User feedback helps understand user satisfaction and usability.
• What is the formula representing the relationship between the problem statement, constraints, and expected output?

  $Expected Output =$$Plan(Problem Statement, Constraints)$
• Match the phases of the problem-solving process with their common weaknesses:

  Understanding the Problem ↔️ Lack of clarity

  Planning the Solution ↔️ Inefficient planning

  Implementing the Plan ↔️ Code quality issues

  Evaluating the Solution ↔️ Inadequate testing
• Adopting coding standards improves code readability and maintainability.
• The relationship between the phases of the problem-solving process can be represented as $Solution =$$Evaluate(Implement(Plan(Understand(Problem Statement, Constraints))))$, where the innermost phase is Understanding.
• Which method for collecting data and information involves gathering opinions through surveys and interviews?

  User Feedback
• What factors are aligned with constraints in the 'Planning the Solution' phase?

  Efficiency, feasibility, alignment
• The 'Implementing the Plan' phase focuses on writing well-structured and documented code
• The 'Evaluating the Solution' phase assesses accuracy, efficiency, and adherence to specifications.
• What is the formula representing the relationship between the problem-solving phases?

  Solution = Evaluate(Implement(Plan(Understand(Problem Statement, Constraints))))</latex>
• Match the method with its description:

  User Feedback ↔️ Gather opinions through surveys

  Performance Metrics ↔️ Monitor execution time

  Code Quality ↔️ Assess code structure

  Log Files ↔️ Track system behavior
• Collecting data and information is crucial for improving problem-solving strategies.
• The 'Planning the Solution' phase requires consideration of algorithm efficiency
• What formula represents the relationship between the problem statement, constraints, and expected output?

  $Expected Output =$$Plan(Problem Statement, Constraints)$
• What is the cost of implementing more efficient algorithms?

  High
• Applying coding standards is a medium-impact improvement with low cost.
• Phases in implementing improvements

  1️⃣ Planning

  2️⃣ Implementation

  3️⃣ Monitoring

  4️⃣ Review and Refinement
• What is benchmarking used for in evaluating improvements?

  Compare against a standard
• A/B testing involves testing different versions of a solution with different user groups.
• What does gathering user feedback measure?

  Usability and satisfaction
• Code analysis is used to examine code for maintainability and quality.