SECTION A Answer ALL questions as instructed. Read the article extract and answer ALL the questions in this section. Unit testing is an essential practice in software development to ensure the correctness and robustness of individual code units. These tests, typically written by developers, play a crucial role in identifying defects and validating the expected behavior of software components. DevOps pipelines are strongly based on the quality of the unit tests. However, manually generating comprehensive unit tests can be challenging and time-consuming, often requiring significant effort and expertise. To address these challenges, researchers have explored automated approaches fortest generation, leveraging advanced techniques and tools. In this article, the focus is on evaluating the quality of Java unit tests generated by an OpenAI Large Language Model (LLM) that has demonstrated remarkable capabilities in generating tests across various domains. The evaluation utilizes three key quality parameters: code coverage, mutation score, and build and execute success rate oftest sets. Code coverage quantifies the extent to which the tests exercise different parts of the code, indicating the thoroughness of the test suite. On the other hand, the mutation score measures the ability of the tests to detect and kill mutated versions of the code, providing insights into the fault-detection capability. Finally, the build and success execution rate, measures the reliability of the generated tests. In the sphere of software development, it is crucial to ensure the robustness and reliability of a program. A primary technique used for this goal is software testing, which is a systematic process that checks the functionality and accuracy of a software application. However, with software systems growing increasingly complex and versatile, covering a broadening range of use cases and inputs makes software testing an arduous task. To analyze the effectiveness of a test set, various criteria come into play, two of which are lines of code coverage andmutation testing. Code coverage entails analyzing the extent to which the test suite exercises the intemal structure of the software product, like its statements or conditions. The goal is to achieve complete or near-complete coverage to ensure that each statement or branch in the code has been executed at least once for a given test case during testing. On the other hand, mutation testing evaluates the test suite's ability to identify and "kill" mutated versions of the software. Mutation testing can be seen as a fault model representation These mutations involve making small syntax changes to the code to simulate potential faults. A successful mutation test is one in which the test suite effectively detects these mutations, highlighting its proficiency in identifying vulnerabilities and potential issues within the software. Chat UniTest, a tool that allows developers to interact with ChatGPT in a conversational manner to generate unit tests for their code. By formulating test generation as a dialogue- based problem, developers can provide natural language prompts to ChatGPT, which then responds with relevant test case suggestions. QUESTION 1 "Unit testing is an essential practice in software development to ensure the correctness and robustness of individual code units." Critically review and provide a report on the challenges experienced with unit testing in software development. Include measures to address the challenges (at least five (5) points inclusive of challenges and measures should be provided). QUESTION 2 "Chat UniTest, a tool that allows developers to interact with ChatGPT in a conversational manner to generate unit tests for their code." Report on any five (5) factors to be considered when running a unit test in a Chat GPT-based environment or similar Al-driven system. SECTION B Answer ANY three (3) questions in this section. QUESTION 3 In Agile development, testing refers to the ongoing process of validating and verifying the functionality, quality, and performance of software throughout the entire development cycle. Discuss five (5) testing challenges experienced in Agile and include ways to overcome these challenges. QUESTION 4 A financial institutions ability to innovate is essential to ensure its long-tem competitiveness. Financial institutions are keeping legacy systems in use to avoid the risk of replacement but making changes to existing software usually becomes more expensive as systems get older. 4.1 Suggest the reasons as to why legacy software systems are costly to change. 4.2 Make recommendation on the strategies financial institutions have to consider in order to make a realistic assessment of evolving their legacy systems. QUESTION 5 Compare and contrast agile development methods to traditional software development methods. Recommend which of the development methods is efficient to use. QUESTION 6 A professional website is a site that is high in quality, easy to navigate, mobile-friendly, simple, and aesthetically pleasing. The site also supplements the customer joumey and provides visitors with the information they are looking for right away. Report on any five (5) best practices for creating a professional website.

SECTION A Answer ALL questions as instructed. Read the article extract and answer ALL the questions in this section. Unit testing is an essential practice in software development to ensure the correctness and robustness of individual code units. These tests, typically written by developers, play a crucial role in identifying defects and validating the expected behavior of software components. DevOps pipelines are strongly based on the quality of the unit tests. However, manually generating comprehensive unit tests can be challenging and time-consuming, often requiring significant effort and expertise. To address these challenges, researchers have explored automated approaches fortest generation, leveraging advanced techniques and tools. In this article, the focus is on evaluating the quality of Java unit tests generated by an OpenAI Large Language Model (LLM) that has demonstrated remarkable capabilities in generating tests across various domains. The evaluation utilizes three key quality parameters: code coverage, mutation score, and build and execute success rate oftest sets. Code coverage quantifies the extent to which the tests exercise different parts of the code, indicating the thoroughness of the test suite. On the other hand, the mutation score measures the ability of the tests to detect and kill mutated versions of the code, providing insights into the fault-detection capability. Finally, the build and success execution rate, measures the reliability of the generated tests. In the sphere of software development, it is crucial to ensure the robustness and reliability of a program. A primary technique used for this goal is software testing, which is a systematic process that checks the functionality and accuracy of a software application. However, with software systems growing increasingly complex and versatile, covering a broadening range of use cases and inputs makes software testing an arduous task. To analyze the effectiveness of a test set, various criteria come into play, two of which are lines of code coverage andmutation testing. Code coverage entails analyzing the extent to which the test suite exercises the intemal structure of the software product, like its statements or conditions. The goal is to achieve complete or near-complete coverage to ensure that each statement or branch in the code has been executed at least once for a given test case during testing. On the other hand, mutation testing evaluates the test suite's ability to identify and "kill" mutated versions of the software. Mutation testing can be seen as a fault model representation These mutations involve making small syntax changes to the code to simulate potential faults. A successful mutation test is one in which the test suite effectively detects these mutations, highlighting its proficiency in identifying vulnerabilities and potential issues within the software. Chat UniTest, a tool that allows developers to interact with ChatGPT in a conversational manner to generate unit tests for their code. By formulating test generation as a dialogue- based problem, developers can provide natural language prompts to ChatGPT, which then responds with relevant test case suggestions. QUESTION 1 "Unit testing is an essential practice in software development to ensure the correctness and robustness of individual code units." Critically review and provide a report on the challenges experienced with unit testing in software development. Include measures to address the challenges (at least five (5) points inclusive of challenges and measures should be provided). QUESTION 2 "Chat UniTest, a tool that allows developers to interact with ChatGPT in a conversational manner to generate unit tests for their code." Report on any five (5) factors to be considered when running a unit test in a Chat GPT-based environment or similar Al-driven system. SECTION B Answer ANY three (3) questions in this section. QUESTION 3 In Agile development, testing refers to the ongoing process of validating and verifying the functionality, quality, and performance of software throughout the entire development cycle. Discuss five (5) testing challenges experienced in Agile and include ways to overcome these challenges. QUESTION 4 A financial institutions ability to innovate is essential to ensure its long-tem competitiveness. Financial institutions are keeping legacy systems in use to avoid the risk of replacement but making changes to existing software usually becomes more expensive as systems get older. 4.1 Suggest the reasons as to why legacy software systems are costly to change. 4.2 Make recommendation on the strategies financial institutions have to consider in order to make a realistic assessment of evolving their legacy systems. QUESTION 5 Compare and contrast agile development methods to traditional software development methods. Recommend which of the development methods is efficient to use. QUESTION 6 A professional website is a site that is high in quality, easy to navigate, mobile-friendly, simple, and aesthetically pleasing. The site also supplements the customer joumey and provides visitors with the information they are looking for right away. Report on any five (5) best practices for creating a professional website.

Purchasing and Supply Chain Management

6th Edition

ISBN:9781285869681

Author:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson

Publisher:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson

ChapterC: Cases

Section: Chapter Questions

Problem 5.1SA

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