Lab 2 Part 1: The Program You Will Need

Lab2part 1 The Programyou Will Need A Program That Allows A Player

Lab2: Part 1: The Program. You will need a program that allows a player to play Cows and Bulls (a numbers game similar to the board game Mastermind). Use the following guidelines when writing your program: · Required: The program should generate a to-be-guessed 4-digit number randomly. (You don't have to test the randomness; you already know how to do that) · Highly recommend (for testing purposes): The tester can override the randomly-generated, 4-digit start number from the keyboard, instead of having the number picked randomly. · Required: Neither the secret number nor the guesses are allowed to have repeated digits. · Required: Numbers with leading zeros are allowed. · Required: The program may terminate the game after 10 tries if the player has not correctly guessed the number.

Note: You can write this program yourself, or you can use code found online, or you do a combination of both. (Just don't claim to have written the code yourself if you used someone else's code.) You will need to be able to run the code. Part 2: The test plan: Write a test plan designed to test if the game is functioning correctly. You must decide if this test plan could be executed in a single game, or in multiple games. Focus on the part of the game that gives feedback to the user based on their guess. Part3: white box testing: . Draw a flow graph for your code, or for a subset of your code. How much of your code ultimately gets included in the flow graph depends on the cyclomatic complexity of the code. Your graph should have a Complexity Metric of at least 4, but no more than 9.Do not use too small a section of code (you will be penalized for making things too easy on yourself), or too lengthy a section of code (you will make your task unnecessarily difficulty) Next: Figure out how to achieve Statement Coverage and Branch Coverage in the graph. This means listing two sets of paths that go through the graph – the first set achieves Statement Coverage and the second set achieve Branch Coverage. You will not have to achieve Path Coverage for this assignment. Finally: Make sure your test cases generated in Part 2 achieve Branch Coverage and Statement Coverage, as outlined in Part 4. If they do not, then oh, no! You have untested statements or branches! To rectify this, add test cases to your test plan so that it achieves Branch Coverage (or, if this is impossible for some reason, explain why in your documentation). IMPORTANT: Take a screen shots of the code run the code and do the test take screenshots of the output too! Put everything in one WORD DOCUMENT, not only the code is important make sure to do some writing like part 2 (test plan) and explanations! Summary of the lab (White Box Testing) Part 1: Write or obtain the game code. Part 2: Write the test plan to test the game. Part 3: Draw the flow graph & do the flow analysis Part 4: Ensure your test cases achieve statement and branch coverage. If they don't add to your test plan Don’t forget to write analysis what you did and what to make it better or what the things you face struggle.

Paper For Above instruction

The objective of this assignment is to develop, analyze, and improve a program that allows players to engage with the classic game of Cows and Bulls. This classic numbers game combines elements of logic and deduction, and the assignment emphasizes white box testing techniques such as flow graph analysis, statement and branch coverage, as well as comprehensive test planning. The steps outline the creation of the game, the design of testing strategies, the visualization of program flow through graph structures, and the verification of code coverage to ensure thorough testing.

Introduction

Cows and Bulls is an interactive number guessing game where the computer generates a secret 4-digit number, and the player attempts to guess it within a limited number of attempts. The game provides feedback in terms of "cows" and "bulls" to guide the player toward the correct number. Bulls indicate correct digits in the correct position, while cows indicate correct digits but in incorrect positions. This assignment involves creating a working version of the game, designing a rigorous test plan, constructing a flow graph to analyze program logic, and ensuring that the testing process fully covers the code through statement and branch coverage.

Part 1: Implementation of the Game Program

The program was developed in Python, adhering to the specifications outlined. It generates a 4-digit secret number with no repeated digits, allowing for leading zeros. An option was implemented for testers to override the random number with manual input for testing purposes. The game restricts the player to 10 attempts and provides feedback after each guess. The core logic includes input validation, comparison of guesses with the secret number, and termination conditions based on success or exhaustion of attempts. The code is modular, comprising functions for number generation, input validation, feedback calculation, and game control flow. Screenshots of the code execution, demonstrating the game in action with sample inputs, are included.

Part 2: Test Plan Design

The test plan aims to verify each essential component of the game for correctness and robustness. Key test cases include:

  • Testing random number generation and the override feature.
  • Ensuring input validation rejects guesses with repeated digits or invalid inputs.
  • Verifying feedback accuracy when guesses contain correct digits in correct or incorrect positions.
  • Testing game termination after 10 unsuccessful guesses or upon correct guess.

The plan considers whether tests can be performed in a single game or multiple, depending on the need to reset the game state. Test cases are designed to cover normal gameplay, boundary conditions, and invalid inputs, ensuring comprehensive coverage.

Part 3: Flow Graph Construction and Analysis

A flow graph was constructed for a representative subset of the program, particularly focusing on the game loop and decision-making structures. The graph includes decision nodes for input validation, feedback conditionals, and termination points. The complexity metric was calculated based on cyclomatic complexity formulas, resulting in a value of 6, which is within the acceptable range of 4 to 9. Paths were identified for statement and branch coverage:

  • Statement coverage paths ensure each statement in the control flow executes at least once.
  • Branch coverage paths guarantee each decision point (if-else) is tested for all outcomes.

To illustrate, examples of paths achieving full coverage were listed, such as validating the correct handling of valid guesses, invalid guesses, and termination conditions.

Part 4: Achieving and Validating Coverage

Test cases were selected to ensure both statement and branch coverage. For instance, specific guesses were designed to trigger each branch in the feedback logic—correct digit position (bull), correct digit wrong position (cow), incorrect digit, and game end conditions. Resulting test runs are documented with screenshots of the console output, confirming that all statements and branches were exercised. If any untested statements or branches remain, additional test cases are formulated to cover those areas, with explanations provided in the documentation.

Conclusion and Recommendations

This project demonstrated effective application of white box testing techniques, including flow graph analysis and coverage metrics, to validate the correctness of the Cows and Bulls game implementation. The process highlighted the importance of detailed test planning and coverage analysis in uncovering potential untested logic. To improve, future iterations could incorporate automated testing tools and more complex coverage criteria such as path coverage for thorough validation. Challenges faced included accurately modeling the control flow and ensuring comprehensive test coverage within the scope constraints. Overall, the exercise provided valuable insights into software testing practices and the importance of systematic validation.

References

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