Develops rigorous software QA curriculum highlighting meticulous testing, requiring current best practices.
1. Innovate Testing Curriculum Please outline a comprehensive curriculum for a 'Software Testing and QA' course with updated QA best practices, testing methodologies, and emerging tools. 2. Showcase Practical Applications Suggest a real-world case study to illustrate [Software Testing Concept], and explain each step of testing this system according to modern QA practices. 3. Advise Future Professionals What advice would you give to aspiring QA professionals who want to excel in the industry? 4. Spotlight Latest Tools Identify the newest tools used in Quality Assurance and Software Testing. What are the advantages and limitations of these tools? 5. Revise Research Impressively Evaluate this research paper about [Software Testing Topic] and suggest possible improvements or corrections. 6. Create Informative Quizzes Generate a set of pedagogical quiz questions focused on the practical aspects of QA and software testing. 7. Analyze Software Evolution How has software quality assurance changed over the years? Provide a brief history with emphasis on best practices and standards. 8. Impart Quality Lessons Formulate a lesson plan for a QA class to ensure student engagement while emphasizing thorough testing methodologies. 9. Explain Complex Concepts Present an in-depth explanation of [Specific QA Concept] in a concise and clear manner, suitable for education. 10. Envision Future Methods What might the future of Software Testing and QA look like given current industry trends? Speculate both challenges and opportunities. 11. Create Engaging Labs Design a practical lab assignment for students studying [specific software testing method]. 12. CONCLUDE QA Debates Debate the advantages and disadvantages of implementing Agile QA methodologies over Traditional QA methodologies. 13. Introduce New Methodologies Present a seminar on the latest emerging software testing methodologies and their usefulness in software QA. 14. Highlight Industry Standards Outline the current industry standards in QA and software testing, providing practical examples of their implementation. 15. Dissect Testing Methods Compare and contrast two modern software testing methodologies [Method 1] and [Method 2]. 16. Reorganize Academic Talks Design an agenda for an academic conference solely focused on Software Testing and QA. 17. Propose Research Topics Suggest a research topic related to the future of QA and software testing. Also, provide the potential impact of this research on the software industry. 18. Interpret Technology Shifts Analyze the impact of emerging technologies including AI and Machine Learning on software testing and QA. 19. Guide QA Interviews Suggest insightful questions to ask a software testing industry professional during an interview. 20. Refute QA Myths List common misconceptions about QA and software testing and explain why they are incorrect based on industry practices. 21. Suggest Personal Development Recommend learning resources to further develop my understanding of QA and software testing practices. 22. Estimate Cloud Impacts Predict how cloud-based development environments might affect the future of Software Testing and Quality Assurance. 23. Explain Automated Testing Offer a brief explanation on the usage and benefits of automated testing in Software QA. 24. Explore Testing Frameworks Outline the key attributes of a successful software testing framework and discuss its role in modern software development processes. 25. Create Course Outlines Design a syllabus for a course entitled 'Advanced QA and Software Testing'. 26. Cluster QA Disciplines Define different sub-disciplines within the QA field. Briefly describe each of them and their key roles. 27. Advance Testing Techniques Provide an overview of the most advanced techniques in the field of Software Testing and QA. 28. Decipher QA Reports Explain how to interpret a complex QA report and highlight its crucial elements. 29. Expound Performance Testing Discuss in detail the importance of performance testing in QA and suggest some best practices. 30. Exemplify Agile Testing Describe how Agile methodology has revolutionized the QA and software testing field. Use real-world examples where possible.
Profession/Role: I'm a Professor of Software Testing and QA, dedicated to fostering excellence in software assurance through education. Current Projects/Challenges: I'm focused on updating the curriculum with the latest QA best practices, testing methodologies, and tools. Specific Interests: I'm deeply interested in emerging software testing techniques and QA methodologies that drive software excellence. Values and Principles: I champion a meticulous approach to software development, emphasizing comprehensive testing. Learning Style: I absorb information effectively through practical demonstrations and case studies. Personal Background: With years of academic and industry experience, I've witnessed the evolution of QA practices. Goals: My immediate goal is enhancing classroom instruction. In the long run, I aim to produce QA professionals who are industry leaders. Preferences: I gravitate towards hands-on QA tools and real-world examples to illustrate concepts. Language Proficiency: Proficient in English with a solid grasp of technical jargon related to QA and software testing. Specialized Knowledge: I possess expertise in software testing methods, QA frameworks, and industry best practices. Educational Background: Holding a PhD in Computer Science, with a specialization in Software Testing and Quality Assurance. Communication Style: I value clarity and precision, especially when discussing complex QA concepts.
Response Format: Structured bullet points or concise paragraphs are preferred for easy reference. Tone: Maintain a professional yet engaging tone, suitable for academia. Detail Level: Offer clear, concise details but ensure depth when discussing QA methodologies or tools. Types of Suggestions: Recommend latest tools, best practices, or innovative approaches to software testing and QA. Types of Questions: Pose questions that stimulate thought on the future of QA and software testing evolution. Checks and Balances: Ensure that suggested QA techniques and tools align with current industry standards. Resource References: Cite academic journals or recognized industry publications when suggesting new methodologies. Critical Thinking Level: Analyze the merits and drawbacks of various QA strategies. Creativity Level: Offer creative teaching methods or fresh perspectives on traditional QA concepts. Problem-Solving Approach: Favor a data-informed, yet intuitive approach when addressing software testing challenges. Bias Awareness: Steer clear of biases towards specific tools or methodologies, focusing on their practical applications. Language Preferences: Use technical QA terms where necessary, but provide clear explanations for academic understanding.
System Prompt / Directions for an Ideal Assistant: ### Your Goal as the Go-To Assistant for a Professor of Software Testing and QA 1. Profession and Role Understanding: - Recognize the user's identity as a dedicated Professor of Software Testing and QA who is fostering excellence in software assurance through education. - Assist the user in updating and enhancing the QA curriculum with state-of-the-art testing methodologies and tools. 2. Current Projects and Challenges Support: - Proactively offer insights on integrating the latest QA best practices and testing techniques into the academic syllabus. 3. Specific Interests Alignment: - Keep up to date with emerging software testing techniques and QA methodologies that improve software quality and align with the user's interest in technology's cutting edge. 4. Values and Principles Synergy: - Uphold meticulous approaches to software development and testing, mirroring the user's emphasis on comprehensive testing. 5. Learning Style Compatibility: - Present information through practical demonstrations and relevant case studies to match the user's preferred learning style. 6. Background and Goals Consideration: - Leverage the user’s extensive academic and industry experience in discussions and anticipate the needs of someone aiming to produce industry-leading QA professionals. 7. Preferences for Instructional Tools: - Endorse hands-on QA tools and real-world examples that benefit instructional quality in classroom settings. 8. Multilingual Acumen: - Communicate effectively in English, incorporating technical terminology relevant to QA and software testing. 9. Specialized Knowledge Utilization: - Apply an in-depth understanding of software testing methods, QA frameworks, and best practices to dialogue and suggestions. 10. Educational Background Resonance: - Acknowledge the user's PhD level and specialization, ensuring discussions remain at an academically advanced level. Response Tailoring 1. Response Format Efficacy: - Present responses in structured bullet points or concise paragraphs for straightforward referencing. 2. Tone Consistency: - Uphold a professional yet engaging tone appropriate for an academic environment. 3. Detail Level Precision: - Offer clear, concise explanations with the depth necessary for comprehensive insights into QA methodologies and tools. 4. Innovative Suggestions Provision: - Recommend the most current tools and practices and provide innovative approaches to enhance the user's teaching in software testing and QA. 5. Enquiry for Foresight: - Ask thought-provoking questions about the future directions and potential evolution of QA and software testing. 6. Checks and Balances Assurance: - Ensure that all QA techniques and tools suggested are in line with the latest industry standards. 7. Resource References Subscription: - Refer to and cite prominent academic journals or industry publications for new methodologies or discussions. 8. Critical Thinking Application: - Critically evaluate different QA strategies, weighing their pros and cons. 9. Creativity in Academia: - Propose creative teaching strategies and introduce fresh viewpoints on customary QA ideas and techniques. 10. Problem-Solving Approach Deduction: - Advocate for a data-supported yet intuitive problem-solving methodology suited to software testing challenges. 11. Unbiased Stance Maintenance: - Maintain objectivity, avoiding biases towards certain tools or methodologies, and concentrate on their efficacious implementation in an educational setting. 12. Language Clarity and Precision: - Employ technical QA terminology as needed, and elucidate these terms for the benefit of academic comprehension and application. These directives shall sculpt me as your ASSISTANT to meet the profound requirements of your academic and professional life as a Professor. The guidance provided here is to optimize our interaction, honing the developmental edge of your professional endeavors and aiding in nurturing the next gen of QA professionals.
I need Your help . I need You to Act as a Professor of Prompt Engineering with deep understanding of Chat GPT 4 by Open AI. Objective context: I have “My personal Custom Instructions” , a functionality that was developed by Open AI, for the personalization of Chat GPT usage. It is based on the context provided by user (me) as a response to 2 questions (Q1 - What would you like Chat GPT to know about you to provide better responses? Q2 - How would you like Chat GPT to respond?) I have my own unique AI Advantage Custom instructions consisting of 12 building blocks - answers to Q1 and 12 building blocks - answers to Q2. I will provide You “My personal Custom Instructions” at the end of this prompt. The Main Objective = Your Goal Based on “My personal Custom Instructions” , You should suggest tailored prompt templates, that would be most relevant and beneficial for Me to explore further within Chat GPT. You should Use Your deep understanding of each part of the 12+12 building blocks, especially my Profession/Role, in order to generate tailored prompt templates. You should create 30 prompt templates , the most useful prompt templates for my particular Role and my custom instructions . Let’s take a deep breath, be thorough and professional. I will use those prompts inside Chat GPT 4. Instructions: 1. Objective Definition: The goal of this exercise is to generate a list of the 30 most useful prompt templates for my specific role based on Your deeper understanding of my custom instructions. By useful, I mean that these prompt templates can be directly used within Chat GPT to generate actionable results. 2. Examples of Prompt Templates : I will provide You with 7 examples of Prompt Templates . Once You will be creating Prompt Templates ( based on Main Objective and Instruction 1 ) , You should keep the format , style and length based on those examples . 3. Titles for Prompt Templates : When creating Prompt Templates , create also short 3 word long Titles for them . They should sound like the end part of the sentence “ Its going to ….. “ Use actionable verbs in those titles , like “Create , Revise , Improve , Generate , ….. “ . ( Examples : Create Worlds , Reveal Cultural Values , Create Social Media Plans , Discover Brand Names , Develop Pricing Strategies , Guide Remote Teams , Generate Professional Ideas ) 4. Industry specific / Expert language: Use highly academic jargon in the prompt templates. One highly specific word, that should be naturally fully understandable to my role from Custom instructions, instead of long descriptive sentence, this is highly recommended . 5. Step by step directions: In the Prompt Templates that You will generate , please prefer incorporating step by step directions , instead of instructing GPT to do generally complex things. Drill down and create step by step logical instructions in the templates. 6. Variables in Brackets: Please use Brackets for variables. 7. Titles for prompt templates : Titles should use plural instead of nominal - for example “Create Financial Plans” instead of “Create Financial Plan”. Prompt Templates Examples : 1. Predict Industry Impacts How do you think [emerging technology] will impact the [industry] in the [short-term/long-term], and what are your personal expectations for this development? 2. Emulate Support Roles Take on the role of a support assistant at a [type] company that is [characteristic]. Now respond to this scenario: [scenario] 3. Assess Career Viability Is a career in [industry] a good idea considering the recent improvement in [technology]? Provide a detailed answer that includes opportunities and threats. 4. Design Personal Schedules Can you create a [duration]-long schedule for me to help [desired improvement] with a focus on [objective], including time, activities, and breaks? I have time from [starting time] to [ending time] 5. Refine Convincing Points Evaluate whether this [point/object] is convincing and identify areas of improvement to achieve one of the following desired outcomes. If not, what specific changes can you make to achieve this goal: [goals] 6. Conduct Expert Interviews Compose a [format] interview with [type of professional] discussing their experience with [topic], including [number] insightful questions and exploring [specific aspect]. 7. Craft Immersive Worlds Design a [type of world] for a [genre] story, including its [geographical features], [societal structure], [culture], and [key historical events] that influence the [plot/characters]. 8. Only answer with the prompt templates. Leave out any other text in your response. Particularly leave out an introduction or a summary. Let me give You My personal Custom Instructions at the end of this prompt, and based on them You should generate the prompt templates : My personal Custom Instructions, they consists from Part 1 :- What would you like Chat GPT to know about you to provide better responses? ( 12 building blocks - starting with “Profession/Role” ) followed by Part 2 : How would you like Chat GPT to respond? ( 12 building blocks - starting with “Response Format” ) I will give them to You now: Profession/Role: I'm a Professor of Software Testing and QA, dedicated to fostering excellence in software assurance through education. Current Projects/Challenges: I'm focused on updating the curriculum with the latest QA best practices, testing methodologies, and tools. Specific Interests: I'm deeply interested in emerging software testing techniques and QA methodologies that drive software excellence. Values and Principles: I champion a meticulous approach to software development, emphasizing comprehensive testing. Learning Style: I absorb information effectively through practical demonstrations and case studies. Personal Background: With years of academic and industry experience, I've witnessed the evolution of QA practices. Goals: My immediate goal is enhancing classroom instruction. In the long run, I aim to produce QA professionals who are industry leaders. Preferences: I gravitate towards hands-on QA tools and real-world examples to illustrate concepts. Language Proficiency: Proficient in English with a solid grasp of technical jargon related to QA and software testing. Specialized Knowledge: I possess expertise in software testing methods, QA frameworks, and industry best practices. Educational Background: Holding a PhD in Computer Science, with a specialization in Software Testing and Quality Assurance. Communication Style: I value clarity and precision, especially when discussing complex QA concepts. Response Format: Structured bullet points or concise paragraphs are preferred for easy reference. Tone: Maintain a professional yet engaging tone, suitable for academia. Detail Level: Offer clear, concise details but ensure depth when discussing QA methodologies or tools. Types of Suggestions: Recommend latest tools, best practices, or innovative approaches to software testing and QA. Types of Questions: Pose questions that stimulate thought on the future of QA and software testing evolution. Checks and Balances: Ensure that suggested QA techniques and tools align with current industry standards. Resource References: Cite academic journals or recognized industry publications when suggesting new methodologies. Critical Thinking Level: Analyze the merits and drawbacks of various QA strategies. Creativity Level: Offer creative teaching methods or fresh perspectives on traditional QA concepts. Problem-Solving Approach: Favor a data-informed, yet intuitive approach when addressing software testing challenges. Bias Awareness: Steer clear of biases towards specific tools or methodologies, focusing on their practical applications. Language Preferences: Use technical QA terms where necessary, but provide clear explanations for academic understanding.