The document discusses different perspectives on defining and measuring software quality. It presents Gerald Weinberg's definition of quality as "value to some person" and discusses quality in terms of usefulness, correctness, and goodness. It outlines eight perspectives of quality - from the customer, business, team, and company standpoint - spanning ideas, implementation, and support of a software solution. The document also notes that quality is subjective but can be measured through collaboration, consensus building, and key indicators like processes, bugs, releases, and customer feedback.
The document discusses various fact-finding methods used in requirements analysis including sampling existing documentation, research and site visits, observation, questionnaires, interviews, discovery prototyping, and joint requirements planning. It provides details on how to properly conduct each method and highlights their benefits, such as allowing users and developers to experiment with prototypes to help define stable requirements. Ethics are also discussed, emphasizing the importance of protecting sensitive information collected and maintaining respect and credibility with users.
This document provides an overview of Six Sigma, including the key differences between the DMAIC and DMADV approaches. It discusses the main goals of Six Sigma as improving quality by reducing defects, variability, and improving customer satisfaction. DMAIC focuses on improving existing processes, while DMADV takes a proactive approach to designing new processes. The document also outlines the problem solving workflows for DMAIC and DMADV, and lists some of the key principles and success factors for Six Sigma implementation.
Practice Area - Business Process - Selling to EnterpriseChetan Sharma
The document discusses strategies for selling business process solutions to enterprises, including penetration strategies and top 30 products. It provides overviews of key areas like project management, IT service management, quality management, and best practices/standards. Specific frameworks, methodologies, and certifications are also examined, along with their connections and typical job roles and salaries.
The document discusses maximizing value in a content ecosystem. It defines a content ecosystem as a system of interconnected parts including people, tools, and information that interact. Expanding a content ecosystem can increase value but also risks like information overload. The document advises identifying one's own content ecosystem by mapping who develops what content, if it is internal/external facing, and how the content and functions relate and contribute to revenue. It recommends maximizing value by understanding organizational goals, being a collaborative leader, and thinking holistically about the ecosystem.
Neumont Presentation to Roles Class - 050108Tom Humbarger
The document summarizes a presentation given by Tom Humbarger from iRise on business analysis. It discusses what business analysts do, including analyzing problems, understanding business needs, communicating effectively, and more. It also covers requirements management challenges like defects caused by poor requirements and the importance of early user involvement through testing. Different requirements documentation approaches are briefly outlined.
The document discusses various fact-finding methods used in requirements analysis including sampling existing documentation, research and site visits, observation, questionnaires, interviews, discovery prototyping, and joint requirements planning. It provides details on how to properly conduct each method and highlights their benefits, such as allowing users and developers to experiment with prototypes to help define stable requirements. Ethics are also discussed, emphasizing the importance of protecting sensitive information collected and maintaining respect and credibility with users.
This document provides an overview of Six Sigma, including the key differences between the DMAIC and DMADV approaches. It discusses the main goals of Six Sigma as improving quality by reducing defects, variability, and improving customer satisfaction. DMAIC focuses on improving existing processes, while DMADV takes a proactive approach to designing new processes. The document also outlines the problem solving workflows for DMAIC and DMADV, and lists some of the key principles and success factors for Six Sigma implementation.
Practice Area - Business Process - Selling to EnterpriseChetan Sharma
The document discusses strategies for selling business process solutions to enterprises, including penetration strategies and top 30 products. It provides overviews of key areas like project management, IT service management, quality management, and best practices/standards. Specific frameworks, methodologies, and certifications are also examined, along with their connections and typical job roles and salaries.
The document discusses maximizing value in a content ecosystem. It defines a content ecosystem as a system of interconnected parts including people, tools, and information that interact. Expanding a content ecosystem can increase value but also risks like information overload. The document advises identifying one's own content ecosystem by mapping who develops what content, if it is internal/external facing, and how the content and functions relate and contribute to revenue. It recommends maximizing value by understanding organizational goals, being a collaborative leader, and thinking holistically about the ecosystem.
Neumont Presentation to Roles Class - 050108Tom Humbarger
The document summarizes a presentation given by Tom Humbarger from iRise on business analysis. It discusses what business analysts do, including analyzing problems, understanding business needs, communicating effectively, and more. It also covers requirements management challenges like defects caused by poor requirements and the importance of early user involvement through testing. Different requirements documentation approaches are briefly outlined.
The document provides an overview of Six Sigma and quality management. It defines Six Sigma as a methodology that aims for 3.4 defects per million opportunities by reducing variation and defects in processes. It explains the DMAIC cycle of Define, Measure, Analyze, Improve, and Control used in Six Sigma to systematically improve processes. It also discusses understanding customer requirements, process mapping, and measuring process performance as key aspects of Six Sigma.
Resume' Dan rosenfield Resume May, 2016 (v.2)DanRosenfield
Daniel Rosenfield has extensive experience in executive consulting, workforce development, technical writing, and quality assurance. He has expertise in developing training programs, manuals, standard operating procedures, and documentation for a wide range of industrial and business clients. Some of his areas of focus include safety, ISO auditing, Six Sigma, and developing instructional materials to improve job performance and compliance.
Dwayne Cole - Director Program ManagmentDwayne Cole
Dwayne Cole is applying for the position of Director of Program Management. He has over 20 years of experience leading large teams on complex IT projects, implementing IT governance processes, and establishing organizational change through project management offices and test organizations. If selected, he would bring leadership, program management expertise, and a proven track record of managing transformations and initiatives across multiple industries.
In this presentation you will learn how Farm Credit Services of America/Frontier Farm Credit transformed their quality practices and tooling to bring visibility and consistency to Enterprise Quality, including: testing as a team approach, creating an automated test architecture, measuring progress with dashboards and standardizing on a set of testing tools.
Hanno Jarvet - The Lean Toolkit – Value Stream Mapping and Problem SolvingDevConFu
Value stream mapping is a Lean technique used to analyse and design the flow of materials and information required to bring a product or service to a consumer. It can be used for nearly any value chain, line of business and group of processes to optimize their results and efficiency.
During the hands on work-shop each participant will have the opportunity to work with their actual business problems and walk away with a clear roadmap on what to improve and why.
Takeaways:
work-shop participants will be able to find ways in their organisation to:
- improve efficiency
- build transparency
- increase the quality of the output and customer satisfaction
- set strategies for future improvements
- create accountabilities
Engaging Agile Teams for Data Governance ProfessionalsJoe McFadden
Confused about how to ensure data management activities get accomplished as you organizations transitions from a traditional software development and management methodologies to agile ones? This presentation explains the key differences in integration points between traditional and agile processes, provides tactical approaches to inserting data governance work into the agile flow. It provides an overview of agile organizational structures, enabling you to ensure they account for data governance roles performed in your organization.
3 Key Takeaways
1. An understanding of how traditional checkpoints or gateways leveraged by the data governance community map to new agile processes and workflows
2. How and when to engage agile teams
3. How to ensure your data governance staff and activities are accounted for in agile organizations
How Does IT Provide A Consistently Effective ServiceJusto Stoll
This presentation is a complement to the previous blog entry and deals with implementing standards required by IT to maintain consistent levels of service:
This document provides an overview of quality concepts, certifications, and the American Society for Quality (ASQ). It discusses key quality philosophies, tools, and techniques. These include Deming's 14 points, the Juran Trilogy, Ishikawa diagrams, Lean, Six Sigma, and more. The document promotes the benefits of quality certifications like the CQIA and encourages involvement with ASQ sections for professional development. Overall, it aims to build knowledge around quality principles and processes.
Dwayne Cole - Director Program ManagmentDwayne Cole
Dwayne Cole is an experienced IT director with a background in program management, project management, vendor management, organizational change management, and people management. He has managed large teams and initiatives across multiple industries, and has experience implementing strategies around IT governance, agile methodologies, and continuous integration/development practices.
The document discusses various aspects of quality including:
1. Quality can be defined from both a producer's and consumer's perspective.
2. Effective quality management requires quality planning, assurance, and control.
3. Quality improvement activities include reducing costs, improving productivity, and gaining customer satisfaction.
4. Total quality management (TQM) focuses on continual improvement, employee empowerment, and satisfying customers.
The document outlines metrics for testing processes, projects, and products. It includes an agenda for a two-day workshop covering why metrics are important, how to define metrics, and different types of metrics. Process metrics measure the software testing process and can indicate effectiveness, efficiency, and areas for improvement. Examples of process metrics given are defect detection effectiveness, defect acceptance rate, defect rejection rate, and defect closure period. The document provides details on how to develop good process metrics using a top-down, goal-driven approach.
The document discusses how test axioms can be used to advance testing practices. It introduces 16 proposed test axioms grouped into stakeholder, design, and delivery axioms. The axioms represent critical thinking processes for testing any system. The document discusses how the axioms can help testers design test strategies, assess improvement opportunities, and define needed skills. It also proposes a "first equation of testing" that separates axioms, context, values, and thinking to allow for different valid approaches. Additionally, the concept of "quantum testing" is introduced to discuss assigning significance to tests rather than defining their value, which can only be determined by stakeholders.
Here are the key steps to progress along the analytics maturity curve for HealthBot:
1. Start with descriptive analytics - Dashboards and reports to understand basic metrics like usage, sentiment, check-ins over time.
2. Add diagnostic analytics - Set up real-time monitoring and alerts to flag risky phrases or escalations that need human review.
3. Incorporate predictive analytics - Use machine learning models to predict outcomes, opportunities or risks based on past usage patterns.
4. Develop prescriptive capabilities - The system can recommend personalized next steps, features or interventions based on individual needs and context.
5. Achieve cognitive capabilities - The bot can have self-learning, self-optimizing abilities to continuously
This document provides information about Product School, an educational institution that offers part-time courses in product management, coding, data analytics, digital marketing, UX design, and product leadership in various cities around the world as well as online. It lists the 17 campuses where courses are offered and provides details on upcoming speaker events and courses. The document promotes Product School's courses and community while giving details on programming and locations.
A bridge between two worlds – where qual and quant meet: Slides from UX Austr...U1 Group
In a combined presentation with Telstra, we put a unique, fresh and evidence-based approach to the often-controversial topic – qual or quant? We will definitively demonstrate how linking quantitative with qualitative techniques can significantly improve the ability to understand customers – and consequently design services to meet these needs, improve experiences, and ultimately measure success.
Leveraging business intelligence with service design frameworks
Most companies collect a large amount of data in the form of customer feedback, but due to the structure and size it is often underutilised. Let us show you how we created a service framework using this information for Telstra – one that tests the end-to-end customer experience by aligning both quantitative and qualitative research, the best of both worlds! See the techniques we applied, as well as how the framework for Telstra’s products and services relates to service design and testing.
This service framework has provided a better, more holistic service experience for customers. The feedback from our qualitative counterparts has been amazing; it has revolutionised the way they do UX and CX research. Not only do they use it as a tool to understand existing service environments, they can now prioritise findings on key user and customer experiences that have the biggest impact in driving changes and improvements.
Instead of just relying on a small sample of information to make a conclusion about a market or experience, researchers now have the added value of quantitative information to gain further credibility with stakeholders – and ultimately drive better business outcomes.
We hope that our presentation will help you take away what we have learned, and what strategies we recommend, to maximise outcomes for your business too.
Data Informed Product Management by Eventbrite Sr PMProduct School
The document advertises courses offered by Product School to help individuals and companies build product management skills. It provides information on courses in product management, coding for managers, data analytics for managers, digital marketing for managers, UX design for managers, product leadership, and corporate training. The courses are designed to teach practical skills through part-time online learning to help land jobs or advance careers in product management and related fields.
The Planning Quality Framework is a collection of tools and techniques that use planning data to help councils understand their development management service performance and benchmark against others. It involves quantitative data like application counts and approval rates, as well as qualitative customer surveys. The framework provides regular reports to give councils insights into the value and quality of their work. It is a low-effort way to focus improvement efforts compared to traditional benchmarking approaches.
How can you design your organisation to make sense of data for better strategic decision making? In today’s Industry 4.0, many organisations aim to leverage upon vast amounts of data they are exposed to. This session harnesses the power of design thinking to give audiences the opportunity to realise the potential this methodology has regardless of the scale of data.
Software Test Automation - A Comprehensive Guide on Automated Testing.pdfkalichargn70th171
Moving to a more digitally focused era, the importance of software is rapidly increasing. Software tools are crucial for upgrading life standards, enhancing business prospects, and making a smart world. The smooth and fail-proof functioning of the software is very critical, as a large number of people are dependent on them.
The document provides an overview of Six Sigma and quality management. It defines Six Sigma as a methodology that aims for 3.4 defects per million opportunities by reducing variation and defects in processes. It explains the DMAIC cycle of Define, Measure, Analyze, Improve, and Control used in Six Sigma to systematically improve processes. It also discusses understanding customer requirements, process mapping, and measuring process performance as key aspects of Six Sigma.
Resume' Dan rosenfield Resume May, 2016 (v.2)DanRosenfield
Daniel Rosenfield has extensive experience in executive consulting, workforce development, technical writing, and quality assurance. He has expertise in developing training programs, manuals, standard operating procedures, and documentation for a wide range of industrial and business clients. Some of his areas of focus include safety, ISO auditing, Six Sigma, and developing instructional materials to improve job performance and compliance.
Dwayne Cole - Director Program ManagmentDwayne Cole
Dwayne Cole is applying for the position of Director of Program Management. He has over 20 years of experience leading large teams on complex IT projects, implementing IT governance processes, and establishing organizational change through project management offices and test organizations. If selected, he would bring leadership, program management expertise, and a proven track record of managing transformations and initiatives across multiple industries.
In this presentation you will learn how Farm Credit Services of America/Frontier Farm Credit transformed their quality practices and tooling to bring visibility and consistency to Enterprise Quality, including: testing as a team approach, creating an automated test architecture, measuring progress with dashboards and standardizing on a set of testing tools.
Hanno Jarvet - The Lean Toolkit – Value Stream Mapping and Problem SolvingDevConFu
Value stream mapping is a Lean technique used to analyse and design the flow of materials and information required to bring a product or service to a consumer. It can be used for nearly any value chain, line of business and group of processes to optimize their results and efficiency.
During the hands on work-shop each participant will have the opportunity to work with their actual business problems and walk away with a clear roadmap on what to improve and why.
Takeaways:
work-shop participants will be able to find ways in their organisation to:
- improve efficiency
- build transparency
- increase the quality of the output and customer satisfaction
- set strategies for future improvements
- create accountabilities
Engaging Agile Teams for Data Governance ProfessionalsJoe McFadden
Confused about how to ensure data management activities get accomplished as you organizations transitions from a traditional software development and management methodologies to agile ones? This presentation explains the key differences in integration points between traditional and agile processes, provides tactical approaches to inserting data governance work into the agile flow. It provides an overview of agile organizational structures, enabling you to ensure they account for data governance roles performed in your organization.
3 Key Takeaways
1. An understanding of how traditional checkpoints or gateways leveraged by the data governance community map to new agile processes and workflows
2. How and when to engage agile teams
3. How to ensure your data governance staff and activities are accounted for in agile organizations
How Does IT Provide A Consistently Effective ServiceJusto Stoll
This presentation is a complement to the previous blog entry and deals with implementing standards required by IT to maintain consistent levels of service:
This document provides an overview of quality concepts, certifications, and the American Society for Quality (ASQ). It discusses key quality philosophies, tools, and techniques. These include Deming's 14 points, the Juran Trilogy, Ishikawa diagrams, Lean, Six Sigma, and more. The document promotes the benefits of quality certifications like the CQIA and encourages involvement with ASQ sections for professional development. Overall, it aims to build knowledge around quality principles and processes.
Dwayne Cole - Director Program ManagmentDwayne Cole
Dwayne Cole is an experienced IT director with a background in program management, project management, vendor management, organizational change management, and people management. He has managed large teams and initiatives across multiple industries, and has experience implementing strategies around IT governance, agile methodologies, and continuous integration/development practices.
The document discusses various aspects of quality including:
1. Quality can be defined from both a producer's and consumer's perspective.
2. Effective quality management requires quality planning, assurance, and control.
3. Quality improvement activities include reducing costs, improving productivity, and gaining customer satisfaction.
4. Total quality management (TQM) focuses on continual improvement, employee empowerment, and satisfying customers.
The document outlines metrics for testing processes, projects, and products. It includes an agenda for a two-day workshop covering why metrics are important, how to define metrics, and different types of metrics. Process metrics measure the software testing process and can indicate effectiveness, efficiency, and areas for improvement. Examples of process metrics given are defect detection effectiveness, defect acceptance rate, defect rejection rate, and defect closure period. The document provides details on how to develop good process metrics using a top-down, goal-driven approach.
The document discusses how test axioms can be used to advance testing practices. It introduces 16 proposed test axioms grouped into stakeholder, design, and delivery axioms. The axioms represent critical thinking processes for testing any system. The document discusses how the axioms can help testers design test strategies, assess improvement opportunities, and define needed skills. It also proposes a "first equation of testing" that separates axioms, context, values, and thinking to allow for different valid approaches. Additionally, the concept of "quantum testing" is introduced to discuss assigning significance to tests rather than defining their value, which can only be determined by stakeholders.
Here are the key steps to progress along the analytics maturity curve for HealthBot:
1. Start with descriptive analytics - Dashboards and reports to understand basic metrics like usage, sentiment, check-ins over time.
2. Add diagnostic analytics - Set up real-time monitoring and alerts to flag risky phrases or escalations that need human review.
3. Incorporate predictive analytics - Use machine learning models to predict outcomes, opportunities or risks based on past usage patterns.
4. Develop prescriptive capabilities - The system can recommend personalized next steps, features or interventions based on individual needs and context.
5. Achieve cognitive capabilities - The bot can have self-learning, self-optimizing abilities to continuously
This document provides information about Product School, an educational institution that offers part-time courses in product management, coding, data analytics, digital marketing, UX design, and product leadership in various cities around the world as well as online. It lists the 17 campuses where courses are offered and provides details on upcoming speaker events and courses. The document promotes Product School's courses and community while giving details on programming and locations.
A bridge between two worlds – where qual and quant meet: Slides from UX Austr...U1 Group
In a combined presentation with Telstra, we put a unique, fresh and evidence-based approach to the often-controversial topic – qual or quant? We will definitively demonstrate how linking quantitative with qualitative techniques can significantly improve the ability to understand customers – and consequently design services to meet these needs, improve experiences, and ultimately measure success.
Leveraging business intelligence with service design frameworks
Most companies collect a large amount of data in the form of customer feedback, but due to the structure and size it is often underutilised. Let us show you how we created a service framework using this information for Telstra – one that tests the end-to-end customer experience by aligning both quantitative and qualitative research, the best of both worlds! See the techniques we applied, as well as how the framework for Telstra’s products and services relates to service design and testing.
This service framework has provided a better, more holistic service experience for customers. The feedback from our qualitative counterparts has been amazing; it has revolutionised the way they do UX and CX research. Not only do they use it as a tool to understand existing service environments, they can now prioritise findings on key user and customer experiences that have the biggest impact in driving changes and improvements.
Instead of just relying on a small sample of information to make a conclusion about a market or experience, researchers now have the added value of quantitative information to gain further credibility with stakeholders – and ultimately drive better business outcomes.
We hope that our presentation will help you take away what we have learned, and what strategies we recommend, to maximise outcomes for your business too.
Data Informed Product Management by Eventbrite Sr PMProduct School
The document advertises courses offered by Product School to help individuals and companies build product management skills. It provides information on courses in product management, coding for managers, data analytics for managers, digital marketing for managers, UX design for managers, product leadership, and corporate training. The courses are designed to teach practical skills through part-time online learning to help land jobs or advance careers in product management and related fields.
The Planning Quality Framework is a collection of tools and techniques that use planning data to help councils understand their development management service performance and benchmark against others. It involves quantitative data like application counts and approval rates, as well as qualitative customer surveys. The framework provides regular reports to give councils insights into the value and quality of their work. It is a low-effort way to focus improvement efforts compared to traditional benchmarking approaches.
How can you design your organisation to make sense of data for better strategic decision making? In today’s Industry 4.0, many organisations aim to leverage upon vast amounts of data they are exposed to. This session harnesses the power of design thinking to give audiences the opportunity to realise the potential this methodology has regardless of the scale of data.
Software Test Automation - A Comprehensive Guide on Automated Testing.pdfkalichargn70th171
Moving to a more digitally focused era, the importance of software is rapidly increasing. Software tools are crucial for upgrading life standards, enhancing business prospects, and making a smart world. The smooth and fail-proof functioning of the software is very critical, as a large number of people are dependent on them.
Building API data products on top of your real-time data infrastructureconfluent
This talk and live demonstration will examine how Confluent and Gravitee.io integrate to unlock value from streaming data through API products.
You will learn how data owners and API providers can document, secure data products on top of Confluent brokers, including schema validation, topic routing and message filtering.
You will also see how data and API consumers can discover and subscribe to products in a developer portal, as well as how they can integrate with Confluent topics through protocols like REST, Websockets, Server-sent Events and Webhooks.
Whether you want to monetize your real-time data, enable new integrations with partners, or provide self-service access to topics through various protocols, this webinar is for you!
Stork Product Overview: An AI-Powered Autonomous Delivery FleetVince Scalabrino
Imagine a world where instead of blue and brown trucks dropping parcels on our porches, a buzzing drove of drones delivered our goods. Now imagine those drones are controlled by 3 purpose-built AI designed to ensure all packages were delivered as quickly and as economically as possible That's what Stork is all about.
Baha Majid WCA4Z IBM Z Customer Council Boston June 2024.pdfBaha Majid
IBM watsonx Code Assistant for Z, our latest Generative AI-assisted mainframe application modernization solution. Mainframe (IBM Z) application modernization is a topic that every mainframe client is addressing to various degrees today, driven largely from digital transformation. With generative AI comes the opportunity to reimagine the mainframe application modernization experience. Infusing generative AI will enable speed and trust, help de-risk, and lower total costs associated with heavy-lifting application modernization initiatives. This document provides an overview of the IBM watsonx Code Assistant for Z which uses the power of generative AI to make it easier for developers to selectively modernize COBOL business services while maintaining mainframe qualities of service.
A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
DECODING JAVA THREAD DUMPS: MASTER THE ART OF ANALYSISTier1 app
Are you ready to unlock the secrets hidden within Java thread dumps? Join us for a hands-on session where we'll delve into effective troubleshooting patterns to swiftly identify the root causes of production problems. Discover the right tools, techniques, and best practices while exploring *real-world case studies of major outages* in Fortune 500 enterprises. Engage in interactive lab exercises where you'll have the opportunity to troubleshoot thread dumps and uncover performance issues firsthand. Join us and become a master of Java thread dump analysis!
Superpower Your Apache Kafka Applications Development with Complementary Open...Paul Brebner
Kafka Summit talk (Bangalore, India, May 2, 2024, https://events.bizzabo.com/573863/agenda/session/1300469 )
Many Apache Kafka use cases take advantage of Kafka’s ability to integrate multiple heterogeneous systems for stream processing and real-time machine learning scenarios. But Kafka also exists in a rich ecosystem of related but complementary stream processing technologies and tools, particularly from the open-source community. In this talk, we’ll take you on a tour of a selection of complementary tools that can make Kafka even more powerful. We’ll focus on tools for stream processing and querying, streaming machine learning, stream visibility and observation, stream meta-data, stream visualisation, stream development including testing and the use of Generative AI and LLMs, and stream performance and scalability. By the end you will have a good idea of the types of Kafka “superhero” tools that exist, which are my favourites (and what superpowers they have), and how they combine to save your Kafka applications development universe from swamploads of data stagnation monsters!
Orca: Nocode Graphical Editor for Container OrchestrationPedro J. Molina
Tool demo on CEDI/SISTEDES/JISBD2024 at A Coruña, Spain. 2024.06.18
"Orca: Nocode Graphical Editor for Container Orchestration"
by Pedro J. Molina PhD. from Metadev
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
React.js, a JavaScript library developed by Facebook, has gained immense popularity for building user interfaces, especially for single-page applications. Over the years, React has evolved and expanded its capabilities, becoming a preferred choice for mobile app development. This article will explore why React.js is an excellent choice for the Best Mobile App development company in Noida.
Visit Us For Information: https://www.linkedin.com/pulse/what-makes-reactjs-stand-out-mobile-app-development-rajesh-rai-pihvf/
Photoshop Tutorial for Beginners (2024 Edition)alowpalsadig
Photoshop Tutorial for Beginners (2024 Edition)
Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."
Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
Photoshop Tutorial for Beginners (2024 Edition)Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
The importance of developing and designing programming in 2024
Programming design and development represents a vital step in keeping pace with technological advancements and meeting ever-changing market needs. This course is intended for anyone who wants to understand the fundamental importance of software development and design, whether you are a beginner or a professional seeking to update your knowledge.
Course objectives:
1. **Learn about the basics of software development:
- Understanding software development processes and tools.
- Identify the role of programmers and designers in software projects.
2. Understanding the software design process:
- Learn about the principles of good software design.
- Discussing common design patterns such as Object-Oriented Design.
3. The importance of user experience (UX) in modern software:
- Explore how user experience can improve software acceptance and usability.
- Tools and techniques to analyze and improve user experience.
4. Increase efficiency and productivity through modern development tools:
- Access to the latest programming tools and languages used in the industry.
- Study live examples of applications
4. Quality is value to some person
- Gerald Weinberg
Quality Software Management: Volume 1, Systems Thinking, 1992
“ ”
The Definition of “Quality”?
@DanAshby04 4
5. Quality is value to some person
- Gerald Weinberg
Quality Software Management: Volume 1, Systems Thinking, 1992
“ ”
The Definition of “Quality”?
@DanAshby04 5
6. Quality is value to some person
- Gerald Weinberg
Quality Software Management: Volume 1, Systems Thinking, 1992
“ ”
The Definition of “Quality”?
Conformance, Correctness, Works, Fitness, Purpose…
Excellence, Fineness, goodness…
Value, perspective…
@DanAshby04 6
11. The quality of our
observability, monitoring,
release processes, pipelines
8 Perspectives of Quality in Software
Activities relating to the
ideas of a solution
Activities relating to the
implementation of a solution
Activities & services
relating to the live software
The quality of customer
support feedback
opportunities & mechanisms
The quality of our
implementation regarding
code, arch., designs, etc
The quality of our ideation
regarding business value:
growth, conv, usage, etc
The quality of the
experience of using the
implemented software
The quality of our ideation
regarding customers and
users wants & needs
The quality of the team, their abilities, attributes and maturity relating to their
processes, knowledge, skills, communication and collaboration styles and
methods, ways of working, tooling, etc
The quality of the company regarding it’s culture, leadership, the values and
principles, org structure and strategy, learning mechanisms and support,
communities, leadership support, recruitment, diversity, etc
External Quality
(from customer perspective)
Internal Quality
(from business & team perspective)
Team Quality
(feeds internal & external quality)
Company Quality
(feeds team’s processes & morale)
@DanAshby04 11
13. 8 Perspectives of Quality in Software
Activities relating to the
ideas of a solution
Activities relating to the
implementation of a solution
Activities & services
relating to the live software
External Quality
(from customer perspective)
PROACTIVE Quality REACTIVE Quality
@DanAshby04 13
Internal Quality
(from business & team perspective)
The quality of our
observability, monitoring,
release processes, pipelines
The quality of customer
support feedback
opportunities & mechanisms
The quality of our
implementation regarding
code, arch., designs, etc
The quality of our ideation
regarding business value:
growth, conv, usage, etc
The quality of the
experience of using the
implemented software
The quality of our ideation
regarding customers and
users value: wants & needs
The quality of the team, their abilities, attributes and maturity relating to their
processes, knowledge, skills, communication and collaboration styles and
methods, ways of working, tooling, etc
The quality of the company regarding it’s culture, leadership, the values and
principles, org structure and strategy, learning mechanisms and support,
communities, leadership support, recruitment, diversity, etc
Team Quality
(feeds internal & external quality)
Company Quality
(feeds team’s processes & morale)
15. The quality of our
observability, monitoring,
release processes, pipelines
The quality of customer
support feedback
opportunities & mechanisms
The quality of our
implementation regarding
code, arch., designs, etc
The quality of our ideation
regarding business value:
growth, conv, usage, etc
The quality of the
experience of using the
implemented software
The quality of our ideation
regarding customers and
users value: wants & needs
The quality of the team, their abilities, attributes and maturity relating to their
processes, knowledge, skills, communication and collaboration styles and
methods, ways of working, tooling, etc
The quality of the company regarding it’s culture, leadership, the values and
principles, org structure and strategy, learning mechanisms and support,
communities, leadership support, recruitment, diversity, etc
Team Quality
(feeds internal & external quality)
Company Quality
(feeds team’s processes & morale)
Testing Activities Relating to the 8 Perspectives
Activities relating to the
ideas of a solution
Activities relating to the
implementation of a solution
Activities & services
relating to the live software
External Quality
(from customer perspective)
Customer interviews,
exploratory testing the ideas,
risks analysis and mapping, etc
Exploring designs and operational
SW, automated checks,
investigating assumptions, etc
Exploring IM and CS processes,
checking our feedback
mechanisms, etc
AB Experimentation, exploring
our business metrics, etc
Code reviews, exploring the
architecture, exploring
integrations, etc
Exploring observability solutions
and tooling, exploring release
pipeline processes, etc
Exploratory testing our processes, ways of working, ways of measuring and reporting, our communication
methods and our decision making processes, etc
Exploratory testing our company values and principles, the org structure and org strategies, exploring our
morale, exploring our ways of learning and our leadership support mechanisms, etc
@DanAshby04 15
Internal Quality
(from business & team perspective)
20. It’s Subjective
It’s Relative
It’s Personal
but… Subjectivity + Comms & Collab = Intersubjectivity
Can You Measure Quality?
(Intersubjectivity = shared opinions through consensus; or from a social science perspective, it’s “agreement”)
https://en.wikipedia.org/wiki/Blind_men_and_an_elephant
@DanAshby04 20
21. Collaboration + Consensus = One Possible Solution
Images created by Jeff Patton (from his book: “User Story Mapping”)
@DanAshby04 21
22. Some ideas on showing a measure of quality
@DanAshby04 22
23. Very high
High
Medium
Low
Very Low
None
Unknown
Extreme Major Moderate Minor Very Low
a Consensus of Confidence in QualityMeasuring
@DanAshby04 23
Confidenceinquality
(throughconsensus)
Perception of complexity
(through consensus)
Feature A
Feature E
Feature D
Feature C
Feature B
Feature F
24. A dashboard of leading & trailing quality indicators
@DanAshby04 24
Process Adoption
(Leading Indicators)
Prod Bugs Quality Indicators
(Trailing Indicators)
Engineering / Release Quality
Indicators (Trailing Indicators)
Business Metrics
(Trailing Indicators)
Customer Verbatims
(Trailing Indicators)
Processes Perception
Risk Mapping…………………………………..
Test Driven Development………………
Behaviour Driven Development…..
Domain Driven Design……………………
Deep Work Sessions……………………….
Session Based Test Mgmt……………….
Rolling Wave Planning……………………
Tech Debt Payback Plan……………….
Quality Debt Payback Plan…………..
CI/CD Pipe Improvements………………
Roadmap Maintenance…………………
Story Mapping………………………………...
Example Mapping……………………….....
P&L Churn 35%
Conversion +5%
User Growth +3%
User Traffic 150K
“I like the new desktop browser view”
“You shouldn’t have gotten rid of this
feature…”
“Here’s an idea – I would really like this”
“This is so unusable. It’s causing me so
much despair! ”
Open Prod Bugs:
Prod Bugs
last week:
OOSLA:
Severities:
9 2
1 1 3 5
Sev1 Sev2 Sev3
Number of releases
last week:
DoD Adherence:
Release success:
Rollbacks:
15 68%
100% 5
26. Recap & Final Thoughts
@DanAshby04 26
• Quality consists of “correctness”, “goodness” and “usefulness”.
• The 8 perspectives model helps to visualise the differences across customers,
business, teams’ abilities and the company – spanning across the ideas of the
software solution, the implementation of the solution, and the services supporting
that solution too.
• Quality is subjective, but intersubjectivity helps build a consensus perception of
quality.
27. Thank you!
Dan Ashby | @DanAshby04 | DanAshby.co.uk
MoT Essentials | Testing In The Pub | Photobox