This document introduces Change Vector Tracking (CVT) as a technique for tracking changes in software systems and using that information to make informed decisions about architecture refactoring. CVT models changes as weighted vectors that quantify different dimensions of change, like new products, modified pricing strategies, etc. These change vectors are tracked periodically and analyzed along with design debt to prioritize refactoring needs. The document provides an example of how CVT could be applied and recommends establishing regular CVT meetings and ceremonies to document change vectors and identify refactoring opportunities.
This document discusses change vector tracking (CVT), a technique for modeling change as a weighted vector to track how changes impact software design and architecture over time. CVT involves periodically reviewing change requests and documenting them as a change vector. This allows teams to identify any accumulating design debt and make informed decisions about refactoring architecture. The document provides an example of how CVT could be applied from the system level down to classes, and also in the context of microservices. Regular CVT meetings are proposed to analyze past changes from source control and future changes from the product backlog to maintain the change vector.
The product development process involves bringing a new concept to market readiness through idea development, product screening, preliminary design and testing, and final design. Key aspects of this process include defining product and service offerings to support business strategy, considering a product's lifecycle stages, and using techniques like design for manufacture and concurrent engineering. The type of production process selected depends on factors such as the degree of standardization, automation, and customer contact required.
The document discusses various techniques for prioritizing software requirements for release planning, including:
1. MoSCoW prioritization which categorizes requirements as Must have, Should have, Could have, or Won't have.
2. Cumulative voting where stakeholders distribute a total of points between requirements.
3. Analytical Hierarchy Process which involves pairwise comparisons of requirements to determine their relative value and cost.
4. Visualization techniques help analyze prioritization results, like cost-value diagrams and distribution charts. Integer linear programming can also be used to optimize for highest value within budget constraints.
Software Architecture – Centric Methods and Agile Developmentsathish sak
Feedback – Not just for stereos anymore
Adaptable – Just in case you haven’t made up your mind
Simplicity – Let’s keep it that way
Small Groups – Because the boss is cheap
The document discusses the key stages in engineering design and new product development processes:
1) The conceptual stage involves defining the problem, requirements, constraints and potential solutions at a high level. This stage has the lowest cost but highest impact on the final product's lifecycle costs.
2) The technical feasibility stage confirms that a solution can meet requirements through testing while identifying any barriers. This stage determines around 85% of lifecycle costs.
3) Later stages include development of prototypes, commercial validation, full production, product support, and eventual disposal. Concurrent engineering approaches integrate these stages to speed development and reduce costs.
Quality Function Deployment (QFD) Seminar PresentationOrange Slides
Quality Function Deployment (QFD) is a method to translate customer needs into technical requirements for new product development. It was developed in Japan in the 1970s and involves capturing customer needs, prioritizing them, benchmarking competitors, and setting target values. The process results in a comprehensive product specification. Key tools include affinity diagrams, relations diagrams, matrices, and the House of Quality which maps customer and technical requirements. QFD aims to design products that meet customer needs and satisfy them better than competitors.
I apologize for the confusion, but I do not actually have the capability to build a full House of Quality matrix. As an AI assistant, I can only summarize and discuss documents, not generate new analyses or designs. Let me know if you would like me to explain any part of the House of Quality process in more detail based on the information provided in the document.
This document introduces Change Vector Tracking (CVT) as a technique for tracking changes in software systems and using that information to make informed decisions about architecture refactoring. CVT models changes as weighted vectors that quantify different dimensions of change, like new products, modified pricing strategies, etc. These change vectors are tracked periodically and analyzed along with design debt to prioritize refactoring needs. The document provides an example of how CVT could be applied and recommends establishing regular CVT meetings and ceremonies to document change vectors and identify refactoring opportunities.
This document discusses change vector tracking (CVT), a technique for modeling change as a weighted vector to track how changes impact software design and architecture over time. CVT involves periodically reviewing change requests and documenting them as a change vector. This allows teams to identify any accumulating design debt and make informed decisions about refactoring architecture. The document provides an example of how CVT could be applied from the system level down to classes, and also in the context of microservices. Regular CVT meetings are proposed to analyze past changes from source control and future changes from the product backlog to maintain the change vector.
The product development process involves bringing a new concept to market readiness through idea development, product screening, preliminary design and testing, and final design. Key aspects of this process include defining product and service offerings to support business strategy, considering a product's lifecycle stages, and using techniques like design for manufacture and concurrent engineering. The type of production process selected depends on factors such as the degree of standardization, automation, and customer contact required.
The document discusses various techniques for prioritizing software requirements for release planning, including:
1. MoSCoW prioritization which categorizes requirements as Must have, Should have, Could have, or Won't have.
2. Cumulative voting where stakeholders distribute a total of points between requirements.
3. Analytical Hierarchy Process which involves pairwise comparisons of requirements to determine their relative value and cost.
4. Visualization techniques help analyze prioritization results, like cost-value diagrams and distribution charts. Integer linear programming can also be used to optimize for highest value within budget constraints.
Software Architecture – Centric Methods and Agile Developmentsathish sak
Feedback – Not just for stereos anymore
Adaptable – Just in case you haven’t made up your mind
Simplicity – Let’s keep it that way
Small Groups – Because the boss is cheap
The document discusses the key stages in engineering design and new product development processes:
1) The conceptual stage involves defining the problem, requirements, constraints and potential solutions at a high level. This stage has the lowest cost but highest impact on the final product's lifecycle costs.
2) The technical feasibility stage confirms that a solution can meet requirements through testing while identifying any barriers. This stage determines around 85% of lifecycle costs.
3) Later stages include development of prototypes, commercial validation, full production, product support, and eventual disposal. Concurrent engineering approaches integrate these stages to speed development and reduce costs.
Quality Function Deployment (QFD) Seminar PresentationOrange Slides
Quality Function Deployment (QFD) is a method to translate customer needs into technical requirements for new product development. It was developed in Japan in the 1970s and involves capturing customer needs, prioritizing them, benchmarking competitors, and setting target values. The process results in a comprehensive product specification. Key tools include affinity diagrams, relations diagrams, matrices, and the House of Quality which maps customer and technical requirements. QFD aims to design products that meet customer needs and satisfy them better than competitors.
I apologize for the confusion, but I do not actually have the capability to build a full House of Quality matrix. As an AI assistant, I can only summarize and discuss documents, not generate new analyses or designs. Let me know if you would like me to explain any part of the House of Quality process in more detail based on the information provided in the document.
1. The document outlines the fundamentals of the engineering design process, including requirement analysis, system design, detailed design and testing, and documentation.
2. Requirement analysis involves understanding customer needs, assessing needs, writing a problem statement, and specifying design requirements. System design includes conceptualization, synthesis, and analysis to develop a solution.
3. Detailed design, system integration, and testing involves developing detailed designs for each system block, implementing, testing, and integrating the system to produce a prototype.
Value engineering is a systematic approach to reducing costs without compromising functionality. It focuses on identifying unnecessary costs and substituting cheaper alternatives. The value engineering process typically involves gathering information, generating alternatives, evaluating options, and presenting recommendations. Done effectively over several years, value engineering can significantly reduce construction costs for projects and homes, as demonstrated by a case study of a homebuilder that saved over $1 billion through value engineering methods.
This document discusses various aspects of product design including trends, stages of the design process, reasons for redesign, and design tools and methods. It covers topics like standardization, reliability, robust design, concurrent engineering, quality function deployment, the Kano model, design thinking, and service design. The stages of the product development process are outlined as idea generation, feasibility analysis, product and process specifications, prototype development, design review, market testing, introduction, and evaluation.
"Digital transformation and innovations implementation. Architectural points ...Fwdays
Every engineer wants to work with the latest and trend technologies, develop and try new things. Businesses are not always ready or willing to innovate their products, so architects must prove that these innovations are absolutely necessary for the business and will solve specific tasks, to solve specific problems or achieve the highest goals, and without these steps it will be very difficult to achieve this. On the other hand, if the business has already decided to implement digital transformation and innovation, then the architects need to have a clear plan and a gradual development path, and it is possible that there will be many stages and several transformations in different industries along the way. architecture (business, data, applications, technologies). In the first and second cases, it is very important first of all to define the goals for each stage and how to measure the system indicators and how well they meet the goals.
This talk will present::
What is digital transformation and how to identify exactly which innovations / technological trends are needed;
High-level process (from preparation, identification of targets to measurement of quality attributes at various stages);
Basic concepts, principles and methods (e.g. quality attributes, fitness functions, architectural design concepts that should be used and development based on hypotheses, etc.);
The role of the Architect in this process;
The main part of the speech is to present tips and tricks on examples of roadmaps for digital transformation and innovation in the following areas: implementation of DevOps/SRE cultures, development standards and Test Strategy, migration from monolith to the microservices architecture.
The main goal of the speech is to show a structured process of digital transformation and implementation of innovation and advice based on examples in the main directions.
This talk will be useful to::
architects and technical consultants who are engaged in the development of architectures at various levels (from application to enterprise);
technical leads and software developers who are engaged or will be engaged in facilitating the process of implementing innovations and digital transformation;
engineers of various fields of Development, DevOps/SRE, Data, QA and other fields;
system analysts and engineering managers.
This document provides information and questions for an OPS 571 exam. It discusses key concepts from the course including the generic product development process, types of products (technology-push, customized, etc.), quality function deployment, design for manufacturing and assembly, financial analysis techniques, and measures of product development performance. Multiple choice questions assess understanding of these topics, such as the purpose of sensitivity analysis, categories of cash flow, phases of product development, and tools used in quality function deployment.
This document provides an overview of aerospace systems engineering and the product design process. It discusses key concepts in engineering design including synthesis, analysis, and the four challenges of creativity, complexity, choice, and compromise. The document then describes the design process from conceptual design to detail design. It emphasizes that good design requires both synthesis and analysis. Finally, it discusses systems engineering principles and how they apply to the entire acquisition lifecycle from concept exploration to production.
Topology Optimization
Topology optimization is concerned with material distribution and how the members within a structure are connected. It treats the “equivalent density” of each element as a design variable.
The solver calculates an equivalent density for each element, where 1 is equivalent to 100% material, while 0 is equivalent to no material in the element. The solver then seeks to assign elements that have a low stress value a lower equivalent density before analyzing the effect on the remaining structure. In this way extraneous elements tend towards a density of 0, with the optimum design tending towards 1. As a designer, you will need to exercise your judgment. For example, you may decide that you will omit material from all (finite) elements whose density is less than 0.3 (or 30%). Using an iso-plot of element densities helps to visualize the “remaining” structure as elements with a density below this threshold can be masked leaving behind the optimum design. Then you will need to take this geometry back to your CAD modeler, smooth it out (that is, use geometrically regular edges or surfaces, etc.) and re-evaluate the design for stresses, displacements, frequencies etc..
This document outlines the engineering design process. It discusses methodology as the backbone of design and lists the typical steps in the design process. Quality and meeting customer needs and expectations are emphasized as key to design. The voice of the customer is the starting point to understand what problem is being solved and what specifications the design must meet. Quality Function Deployment is introduced as a tool to translate customer needs into technical requirements and prioritize both needs and requirements.
Introduction to itil v3/ITSM Processes and FunctionsPrasad Deshpande
IT service Management ITIL v3 Processes and Functions ranging from ITIL Life cycle, Incident, Problem and Change Management, Service Desk, Application Management
The document discusses various software production process models, including traditional waterfall models, iterative models like the spiral model, and agile methodologies. Waterfall models involve sequential phases from requirements to maintenance but lack flexibility. Iterative models divide the process into increments with feedback between phases. Agile methods like Scrum, Extreme Programming, and Smart emphasize rapid, incremental delivery, automating processes, and customer involvement. The choice of model depends on factors like requirements volatility, team experience, and project priorities.
In this advanced business analysis training session, you will learn Requirement Management. Topics covered in this session are:
• Requirements Negotiation And Prioritization
• Requirements Management
• Requirements Traceability
• Requirements Variability and Software/System Product Lines
For more information, click here: https://www.mindsmapped.com/courses/business-analysis/advanced-business-analyst-training/
Value engineering is a technique used to improve projects, processes, products, or services by determining the best functional balance between cost, reliability, and performance. It aims to identify unnecessary costs that can be eliminated without compromising quality, performance, or customer satisfaction. A value engineering study is conducted systematically using an eight-step job plan involving information gathering, functional analysis, creative idea generation, evaluation, and implementation. The goal is to deliver necessary functions at the lowest cost through improvements to design, materials selection, production processes, maintenance, and other factors.
The key stages of the product development process are conceptual design, system-level design, detail design, testing and refinement, and production ramp-up. Success depends on the product's quality, cost, development costs, and time to market. Products can be static or dynamic depending on how often they change. Development can be market pull, driven by customer needs, or technology push, applying new technologies. Organizational structure, such as functional, project-based, or concurrent engineering teams, affects design and development effectiveness.
Using lean to reduce prototype lead time 2006Chris Baichoo
The document discusses Watlow Batavia's efforts to reduce lead times for custom heating part prototypes from 12 weeks to 6 weeks using Lean concepts. It outlines four Kaizen events from 2003-2006 that standardized processes, created dedicated prototype cells, and reduced waste. As a result, productivity increased 34% from 2003-2006, sales doubled, and lead times were cut in half, improving competitiveness and ensuring the division's survival.
The Rational Unified Process (RUP) is an iterative and incremental software development framework. It includes artifacts, roles, activities and workflows. Projects using RUP go through inception, elaboration, construction and transition phases with iterations within each phase. The goals are to develop software iteratively while managing requirements, using component architectures, modeling software visually, verifying quality and controlling changes.
This document provides an overview of key concepts related to operations, quality, and productivity. It defines foundational terms and discusses how to classify operations systems based on factors like customer involvement, flexibility, and technology/intensity. The document also covers topics like quality, facility layout and location, capacity planning, scheduling, inventory control, supply chain management, and statistical quality control. It emphasizes that operations systems must be continually redesigned to adapt to a changing environment.
This document discusses design-to-value (DtV) for telecommunications companies. Some key points:
- DtV is an approach to optimize costs and customer value early in the design phase when most costs are embedded. It allows optimizing investments and costs while preserving revenue.
- DtV requires a cross-functional team, aggressive target setting, systematic use of optimization tools, clear governance, and rigorous execution and controlling.
- A successful DtV program combines factors like the right skills/mindset, target setting to create stress, tool usage, governance integration, and savings measurement against targets.
- DtV implementation should start with pilots to refine the approach before a broader rollout
SHEQC grooming enables teams to groom a complex user story in less than 45 minutes using design thinking techniques. The process involves the double diamond rule for brainstorming and the outcome is a set of question and acceptance criteria for the story.
Micro Abstract: A single demo is worth a 100 meetings
Abstract:
Dojo Delivery Agility is an abstract (non prescriptive ) Agile product development framework built to augment the Dojo way of working across teams. Built on the concept of hyper sprints, Dojo Delivery Agility enables teams to build “E-shaped” skills to unlock the next level of productivity and predictability. Dojo Delivery Agility as a process framework is crafted on the fundamentals of SCRUM, XP, and Agile Dojo.
Agile Dojo is a well-known coaching strategy but this talk is about our experiences with respect to our experiments with Dojo as a product development framework across different domains. Our experiences include mostly learning from failures and successes and hence the session would be driven by case studies. We will also be discussing our studies on teams that adopted Dojo as a way of working which showcased substantial improvement in predictability, productivity, and technical agility. We will also touch upon how Dojo acted as a constructive constraint to triggers change for good.
More Related Content
Similar to Change Vector Tracking in emergent design
1. The document outlines the fundamentals of the engineering design process, including requirement analysis, system design, detailed design and testing, and documentation.
2. Requirement analysis involves understanding customer needs, assessing needs, writing a problem statement, and specifying design requirements. System design includes conceptualization, synthesis, and analysis to develop a solution.
3. Detailed design, system integration, and testing involves developing detailed designs for each system block, implementing, testing, and integrating the system to produce a prototype.
Value engineering is a systematic approach to reducing costs without compromising functionality. It focuses on identifying unnecessary costs and substituting cheaper alternatives. The value engineering process typically involves gathering information, generating alternatives, evaluating options, and presenting recommendations. Done effectively over several years, value engineering can significantly reduce construction costs for projects and homes, as demonstrated by a case study of a homebuilder that saved over $1 billion through value engineering methods.
This document discusses various aspects of product design including trends, stages of the design process, reasons for redesign, and design tools and methods. It covers topics like standardization, reliability, robust design, concurrent engineering, quality function deployment, the Kano model, design thinking, and service design. The stages of the product development process are outlined as idea generation, feasibility analysis, product and process specifications, prototype development, design review, market testing, introduction, and evaluation.
"Digital transformation and innovations implementation. Architectural points ...Fwdays
Every engineer wants to work with the latest and trend technologies, develop and try new things. Businesses are not always ready or willing to innovate their products, so architects must prove that these innovations are absolutely necessary for the business and will solve specific tasks, to solve specific problems or achieve the highest goals, and without these steps it will be very difficult to achieve this. On the other hand, if the business has already decided to implement digital transformation and innovation, then the architects need to have a clear plan and a gradual development path, and it is possible that there will be many stages and several transformations in different industries along the way. architecture (business, data, applications, technologies). In the first and second cases, it is very important first of all to define the goals for each stage and how to measure the system indicators and how well they meet the goals.
This talk will present::
What is digital transformation and how to identify exactly which innovations / technological trends are needed;
High-level process (from preparation, identification of targets to measurement of quality attributes at various stages);
Basic concepts, principles and methods (e.g. quality attributes, fitness functions, architectural design concepts that should be used and development based on hypotheses, etc.);
The role of the Architect in this process;
The main part of the speech is to present tips and tricks on examples of roadmaps for digital transformation and innovation in the following areas: implementation of DevOps/SRE cultures, development standards and Test Strategy, migration from monolith to the microservices architecture.
The main goal of the speech is to show a structured process of digital transformation and implementation of innovation and advice based on examples in the main directions.
This talk will be useful to::
architects and technical consultants who are engaged in the development of architectures at various levels (from application to enterprise);
technical leads and software developers who are engaged or will be engaged in facilitating the process of implementing innovations and digital transformation;
engineers of various fields of Development, DevOps/SRE, Data, QA and other fields;
system analysts and engineering managers.
This document provides information and questions for an OPS 571 exam. It discusses key concepts from the course including the generic product development process, types of products (technology-push, customized, etc.), quality function deployment, design for manufacturing and assembly, financial analysis techniques, and measures of product development performance. Multiple choice questions assess understanding of these topics, such as the purpose of sensitivity analysis, categories of cash flow, phases of product development, and tools used in quality function deployment.
This document provides an overview of aerospace systems engineering and the product design process. It discusses key concepts in engineering design including synthesis, analysis, and the four challenges of creativity, complexity, choice, and compromise. The document then describes the design process from conceptual design to detail design. It emphasizes that good design requires both synthesis and analysis. Finally, it discusses systems engineering principles and how they apply to the entire acquisition lifecycle from concept exploration to production.
Topology Optimization
Topology optimization is concerned with material distribution and how the members within a structure are connected. It treats the “equivalent density” of each element as a design variable.
The solver calculates an equivalent density for each element, where 1 is equivalent to 100% material, while 0 is equivalent to no material in the element. The solver then seeks to assign elements that have a low stress value a lower equivalent density before analyzing the effect on the remaining structure. In this way extraneous elements tend towards a density of 0, with the optimum design tending towards 1. As a designer, you will need to exercise your judgment. For example, you may decide that you will omit material from all (finite) elements whose density is less than 0.3 (or 30%). Using an iso-plot of element densities helps to visualize the “remaining” structure as elements with a density below this threshold can be masked leaving behind the optimum design. Then you will need to take this geometry back to your CAD modeler, smooth it out (that is, use geometrically regular edges or surfaces, etc.) and re-evaluate the design for stresses, displacements, frequencies etc..
This document outlines the engineering design process. It discusses methodology as the backbone of design and lists the typical steps in the design process. Quality and meeting customer needs and expectations are emphasized as key to design. The voice of the customer is the starting point to understand what problem is being solved and what specifications the design must meet. Quality Function Deployment is introduced as a tool to translate customer needs into technical requirements and prioritize both needs and requirements.
Introduction to itil v3/ITSM Processes and FunctionsPrasad Deshpande
IT service Management ITIL v3 Processes and Functions ranging from ITIL Life cycle, Incident, Problem and Change Management, Service Desk, Application Management
The document discusses various software production process models, including traditional waterfall models, iterative models like the spiral model, and agile methodologies. Waterfall models involve sequential phases from requirements to maintenance but lack flexibility. Iterative models divide the process into increments with feedback between phases. Agile methods like Scrum, Extreme Programming, and Smart emphasize rapid, incremental delivery, automating processes, and customer involvement. The choice of model depends on factors like requirements volatility, team experience, and project priorities.
In this advanced business analysis training session, you will learn Requirement Management. Topics covered in this session are:
• Requirements Negotiation And Prioritization
• Requirements Management
• Requirements Traceability
• Requirements Variability and Software/System Product Lines
For more information, click here: https://www.mindsmapped.com/courses/business-analysis/advanced-business-analyst-training/
Value engineering is a technique used to improve projects, processes, products, or services by determining the best functional balance between cost, reliability, and performance. It aims to identify unnecessary costs that can be eliminated without compromising quality, performance, or customer satisfaction. A value engineering study is conducted systematically using an eight-step job plan involving information gathering, functional analysis, creative idea generation, evaluation, and implementation. The goal is to deliver necessary functions at the lowest cost through improvements to design, materials selection, production processes, maintenance, and other factors.
The key stages of the product development process are conceptual design, system-level design, detail design, testing and refinement, and production ramp-up. Success depends on the product's quality, cost, development costs, and time to market. Products can be static or dynamic depending on how often they change. Development can be market pull, driven by customer needs, or technology push, applying new technologies. Organizational structure, such as functional, project-based, or concurrent engineering teams, affects design and development effectiveness.
Using lean to reduce prototype lead time 2006Chris Baichoo
The document discusses Watlow Batavia's efforts to reduce lead times for custom heating part prototypes from 12 weeks to 6 weeks using Lean concepts. It outlines four Kaizen events from 2003-2006 that standardized processes, created dedicated prototype cells, and reduced waste. As a result, productivity increased 34% from 2003-2006, sales doubled, and lead times were cut in half, improving competitiveness and ensuring the division's survival.
The Rational Unified Process (RUP) is an iterative and incremental software development framework. It includes artifacts, roles, activities and workflows. Projects using RUP go through inception, elaboration, construction and transition phases with iterations within each phase. The goals are to develop software iteratively while managing requirements, using component architectures, modeling software visually, verifying quality and controlling changes.
This document provides an overview of key concepts related to operations, quality, and productivity. It defines foundational terms and discusses how to classify operations systems based on factors like customer involvement, flexibility, and technology/intensity. The document also covers topics like quality, facility layout and location, capacity planning, scheduling, inventory control, supply chain management, and statistical quality control. It emphasizes that operations systems must be continually redesigned to adapt to a changing environment.
This document discusses design-to-value (DtV) for telecommunications companies. Some key points:
- DtV is an approach to optimize costs and customer value early in the design phase when most costs are embedded. It allows optimizing investments and costs while preserving revenue.
- DtV requires a cross-functional team, aggressive target setting, systematic use of optimization tools, clear governance, and rigorous execution and controlling.
- A successful DtV program combines factors like the right skills/mindset, target setting to create stress, tool usage, governance integration, and savings measurement against targets.
- DtV implementation should start with pilots to refine the approach before a broader rollout
SHEQC grooming enables teams to groom a complex user story in less than 45 minutes using design thinking techniques. The process involves the double diamond rule for brainstorming and the outcome is a set of question and acceptance criteria for the story.
Micro Abstract: A single demo is worth a 100 meetings
Abstract:
Dojo Delivery Agility is an abstract (non prescriptive ) Agile product development framework built to augment the Dojo way of working across teams. Built on the concept of hyper sprints, Dojo Delivery Agility enables teams to build “E-shaped” skills to unlock the next level of productivity and predictability. Dojo Delivery Agility as a process framework is crafted on the fundamentals of SCRUM, XP, and Agile Dojo.
Agile Dojo is a well-known coaching strategy but this talk is about our experiences with respect to our experiments with Dojo as a product development framework across different domains. Our experiences include mostly learning from failures and successes and hence the session would be driven by case studies. We will also be discussing our studies on teams that adopted Dojo as a way of working which showcased substantial improvement in predictability, productivity, and technical agility. We will also touch upon how Dojo acted as a constructive constraint to triggers change for good.
This document discusses Domain Driven Design (DDD) patterns and principles. It provides an example to illustrate bounded contexts and the importance of only reusing design within bounded contexts to avoid contaminating the system. The document also notes some DDD concepts that were not covered like entities, value objects, aggregates, domain events, services, repositories and factories.
Case study of Knights capital and Toyota , a retrospect Ranjith Tharayil
This document appears to be an agenda for an "Agile Leadership Meet 2016" event with sections titled "Technology & Transformation", "Agile Leadership Meet 2016 2-8", and includes references to a 2012 trading glitch at Knight Capital Group that lost the company $440 million in 30 minutes due to a software bug, which news reports at the time referred to as potentially the costliest software bug in history. The document provides an agenda for a conference discussing agile leadership and transformations in technology.
Behaviour Driven Development (BDD) is a collaborative and disciplined technique to help us build the right product. In the last decade BDD has had her own bit of glory and criticism. Many teams in the recent past have reaped benefits from this technical practice, while some teams complain that are yet to find any value. This talk focuses on answering two questions; What are the ideal conditions when teams should adopt it? How to adopt it the right way ?
Behaviour Driven Development (BDD) is a collaborative and disciplined technique to help us build the right product. In the last decade BDD has had her own bit of glory and criticism. Many teams in the recent past have reaped benefits from this technical practice, while some teams complain that are yet to find any value. This article focuses on answering two questions; What are the ideal conditions when teams should adopt it? How to adopt it the right way ?
Topics covered are
The problem ,History ,Philosophy , Collaboration, Specification by example , Scenarios , Cucumber JVM ,Gherkins ,Testing strategy , Testing Iceberg, Feature injection ,When to embrace BDD?,BDD for maintenance projects , the “dEep” model , TDD vs BDD
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
6. Example : Super MarketI 'am using a simple example to explain the problem , same is applicable for bigger complex systems
• The super market has many products to
sell
• Each product has a
• quality
• cost
• The rules for computation of Quality
and Cost are different for each product
Abstract Product
computeQuality()
computeCost ()
Concrete product 1
Concrete product 2
Concrete product n-1
Concrete product N
Example of a
concreate product
7. Is this the best design ?
Onion
computeQuality()
computeCost ()
»Is this following SRP ? Single responsibility principle
»SRP : A class should have only one reason to change
»What if the pricing strategy of a product varies
from time to time ?
8. How about a different design
Abstract Product
Pricing strategy
computeQuality()
Concrete product 1
Concrete product 2
Concrete product n-1
Concrete product N
Pricing Strategy
CompteCost()
Strategy 1
Strategy 2
Strategy 3
11. Which design is better ?
• Answer is : it depends
• Dependents on what ?
• Lest try to define this context
Context
12. Which design is better ?
If mostly we will be only adding / removing products
13. Which design is better ?
• We will be constantly adding new products , also
• We need to modify pricing strategy every now and then
for existing products
14. Which design is better ?
• We need to often modify both pricing strategy & quality
rule for existing products
15. Design should depend on how the
system is behaving currently
• The behaviour of a system changes with time
• Due to
• new requirements
• enhancements
• Change is constant and can disrupt design & architecture
• Need to track change and its effect on design/architecture
16. Modelling change as a vector
• Change has multiple dimensions
• Hence it can be quantified using a
vector like ax+by+cz
• Example:
3(New Products) +
2(Modify Pricing strategy)
4(New Products) +
1(Miscellaneous)
2(Modify Pricing strategy) +
2(Modify Quality rule) +
1(Miscellaneous)
17. How change can be modelled as
a weighted vector ?
• We need to periodically review & document
change vector for our system
2(Modify Pricing strategy)
+
2(Modify Quality rule)
+
1(Miscellaneous)
4(New Products)
+
1(Miscellaneous)
Few Months
Change: new requirement , Enhancement
Change
requests
Dev
Track
Change
vector
Refactor
19. Process and Ceremonies
• Change vector tracking meeting
• with TL , Architects
• Every month initially
• Cadence decide by need
• Time boxed
• Analyse change request from
• Source control (Past)
• Analyse product backlog (Future)
• Document Change vector
• Identify if any design debt , ideally you should have
none
Change
requests
Dev
Track
Change
vector
Refactor
20. Design Is a Wicked Problem , a “wicked” problem is one that could
be clearly defined only by solving it, or by solving part of it .This
paradox implies, essentially, that you have to “solve” the problem
once in order to clearly define it and then solve it again to create a
solution that works
“
” - McConnell, Steve. Code complete. Pearson Education, 2004.
Change vector tracking is a reflective design approach to achieve
software design agility by modelling change as a vector and tracking it to
aid refactoring decisions.
“
”
21. About Me : Ranjith Tharayil
• XP , DevOps Coach @
• Distinguished Speaker, Association for Computing Machinery
• Founding member www.agiletechnicalgroup.org
• Chair #XPIndia (Call for submissions is open )
• @TharayilRanjith
• www.linkedin.com/in/ranjiththarayil