The document discusses lessons learned from Thales projects in recovering engineering projects. It identifies 10 key lessons, including the importance of effective communication between project managers and systems engineers, understanding requirements and implications, and managing risks. It maps these lessons to lean project management enablers like respecting people, defining value, and continuous improvement. Future goals discussed include team accountability, playing to individual strengths, and using a value-oriented work breakdown structure.
Eight deadly defects in systems engineering and how to fix themJoseph KAsser
Any organization desirous to adopt or improve systems engineering needs to be aware that research into the nature of systems engineering has identified a number of defects in the current systems engineering paradigm. This paper discusses eight of these defects and ways to fix or compensate for them.
The document discusses system engineering and defines key concepts. System engineering focuses on designing complex engineering projects by defining customer needs early and documenting required functionality. It uses a waterfall model with little iteration between phases due to hardware costs. System engineering involves interaction between different engineering disciplines that require negotiation due to different vocabularies. The system engineering process includes stating problems, investigating alternatives, modeling the system, integrating elements, launching the system, and assessing performance.
The document discusses key concepts in software architecture, including:
1) Software architecture establishes the overall structure and organization of a system, including its components and relationships.
2) Architectural design involves decomposing a system into subsystems or modules to improve modifiability, reusability, and portability.
3) Key principles for architectural design include simplicity, modularity, low coupling, separation of concerns, abstraction, and postponing decisions.
Software Engineering The Multiview Approach And Wisdmguestc990b6
The document provides an overview of web information system development methodology. It discusses key components of information systems and why structured methodologies are important for information system projects. It then describes various software development models including waterfall, iterative, evolutionary, spiral and V-model. Finally, it discusses special considerations for web-based information systems and proposes a socio-technical web information system development methodology called WISDM that takes organizational, technical and human factors into account.
This chapter discusses using use cases to model system requirements. It defines key use case concepts like actors, use cases, relationships between use cases. It describes the benefits of use case modeling and the process of developing a use case model, including identifying actors and use cases, constructing diagrams, documenting narratives. It also discusses how use case models can be used for project management and prioritization.
Software Architecture by Reuse, Composition and Customization Ivano Malavolta
Ivano Malavolta.
Research Fellow at the Computer Science Department of the University of L'Aquila (Italy).
PhD thesis presentation, University of L'Aquila, March 2012.
The full PhD thesis is available here:
http:www.di.univaq.it/malavolta/files/IvanoMalavoltaPhDThesis.pdf
Software engineering principles in system software designTech_MX
This document discusses software engineering principles for system software design. It defines software engineering as a collection of techniques to produce high quality software on time and budget. Key principles discussed include rigor and formality, separation of concerns, modularity, abstraction, and anticipation of change. Examples of applying these principles to compilers and assemblers are provided. The software development process and different testing approaches are also summarized.
The document discusses lessons learned from Thales projects in recovering engineering projects. It identifies 10 key lessons, including the importance of effective communication between project managers and systems engineers, understanding requirements and implications, and managing risks. It maps these lessons to lean project management enablers like respecting people, defining value, and continuous improvement. Future goals discussed include team accountability, playing to individual strengths, and using a value-oriented work breakdown structure.
Eight deadly defects in systems engineering and how to fix themJoseph KAsser
Any organization desirous to adopt or improve systems engineering needs to be aware that research into the nature of systems engineering has identified a number of defects in the current systems engineering paradigm. This paper discusses eight of these defects and ways to fix or compensate for them.
The document discusses system engineering and defines key concepts. System engineering focuses on designing complex engineering projects by defining customer needs early and documenting required functionality. It uses a waterfall model with little iteration between phases due to hardware costs. System engineering involves interaction between different engineering disciplines that require negotiation due to different vocabularies. The system engineering process includes stating problems, investigating alternatives, modeling the system, integrating elements, launching the system, and assessing performance.
The document discusses key concepts in software architecture, including:
1) Software architecture establishes the overall structure and organization of a system, including its components and relationships.
2) Architectural design involves decomposing a system into subsystems or modules to improve modifiability, reusability, and portability.
3) Key principles for architectural design include simplicity, modularity, low coupling, separation of concerns, abstraction, and postponing decisions.
Software Engineering The Multiview Approach And Wisdmguestc990b6
The document provides an overview of web information system development methodology. It discusses key components of information systems and why structured methodologies are important for information system projects. It then describes various software development models including waterfall, iterative, evolutionary, spiral and V-model. Finally, it discusses special considerations for web-based information systems and proposes a socio-technical web information system development methodology called WISDM that takes organizational, technical and human factors into account.
This chapter discusses using use cases to model system requirements. It defines key use case concepts like actors, use cases, relationships between use cases. It describes the benefits of use case modeling and the process of developing a use case model, including identifying actors and use cases, constructing diagrams, documenting narratives. It also discusses how use case models can be used for project management and prioritization.
Software Architecture by Reuse, Composition and Customization Ivano Malavolta
Ivano Malavolta.
Research Fellow at the Computer Science Department of the University of L'Aquila (Italy).
PhD thesis presentation, University of L'Aquila, March 2012.
The full PhD thesis is available here:
http:www.di.univaq.it/malavolta/files/IvanoMalavoltaPhDThesis.pdf
Software engineering principles in system software designTech_MX
This document discusses software engineering principles for system software design. It defines software engineering as a collection of techniques to produce high quality software on time and budget. Key principles discussed include rigor and formality, separation of concerns, modularity, abstraction, and anticipation of change. Examples of applying these principles to compilers and assemblers are provided. The software development process and different testing approaches are also summarized.
The document discusses the system development life cycle and its phases. It describes the importance of project management, feasibility assessment, documentation, and data gathering techniques. The phases discussed include planning, analysis, design, implementation, operation, support, and security. Activities like requirements gathering, process modeling, documentation, and alternative solutions are discussed for the analysis phase.
The document discusses systems development life cycle methodology. It describes the SDLC project team, which includes personnel from information systems and business units led by a project manager. The team also includes systems analysts who work closely with end users and managers. The document then outlines the various phases of the SDLC, including definition, construction, implementation, and maintenance phases. It also discusses alternative development approaches like prototyping, rapid application development, and agile software development.
The document discusses various software development life cycle (SDLC) models, including:
- The waterfall model, which uses sequential phases of requirements, design, coding, testing, and deployment. It is structured but rigid.
- Iterative development models, which allow for feedback loops and releasing partial software in iterations to get faster feedback.
- Agile methodologies like Scrum, which embrace changing requirements, focus on working software over documentation, and value customer collaboration over contracts. Key aspects are iterative development, regular refactoring, and communicating for learning.
- Pitfalls of agile include skill gaps, lack of traceability, poor communication, and not staying close enough to customers. Overall, agile aims to
The document discusses structured analysis and structured design (SASD) techniques including modeling system requirements using data flow diagrams, entity relationship diagrams, and structure charts. It also covers the history and goals of SASD, which aims to improve system quality by decomposing large problems and establishing clear documentation of functional requirements.
1) Legacy systems are older software systems that have been in use for a long time and are often critical to business operations.
2) They were often developed years ago using outdated technologies and have evolved over many years of customizations and changes.
3) Replacing legacy systems carries significant business risks due to a lack of complete documentation and embedded business rules not formally documented elsewhere. Changing legacy systems can also be very expensive.
[2015/2016] Software systems engineering PRINCIPLESIvano Malavolta
This presentation is about a lecture I gave within the "Software systems and services" immigration course at the Gran Sasso Science Institute, L'Aquila (Italy): http://cs.gssi.infn.it/.
http://www.ivanomalavolta.com
Unit 1-overview of software engineering arvind pandey
This document discusses key concepts in software engineering. It begins with definitions of software and software engineering. It then covers differences between software engineering and computer science/system engineering. Software processes and models are explained. Costs, methods, CASE tools, attributes of good software and challenges in the field are summarized. The document also discusses professional and ethical responsibilities of software engineers, including issues like confidentiality, competence, intellectual property and computer misuse. Finally, it outlines the eight principles of the ACM/IEEE Code of Ethics for software engineers.
Quantify the Functional Requirements in Software System EngineeringKarthika Parthasarathy
This document discusses an approach to analyzing and quantifying functional requirements in software system engineering. It begins by introducing system engineering as a process that transforms operational needs into system configurations. Software system engineering applies these principles to the development of large, complex software systems. The paper focuses on categorizing and prioritizing functional requirements during the requirements analysis phase of software development. Analyzing, designing, and organizing system elements according to engineering principles helps produce documentation to guide software development and manage technical functions. This process aims to reduce complexity and improve customer satisfaction.
The document describes the system development process, which involves a set of activities, methods, deliverables and tools used to develop information systems. It discusses the Capability Maturity Model (CMM) which assesses the maturity of an organization's development processes. The system development life cycle is separated from the methodology, which is the formal process used. Principles of system development include getting user involvement, using a problem-solving approach, establishing phases and activities, and justifying systems as investments.
Unit 2-software development process notes arvind pandey
Critical systems must be dependable to avoid catastrophic failures. Dependability encompasses availability, reliability, safety, and security. Availability refers to a system's ability to deliver services when requested, while reliability means delivering services correctly. Safety ensures excessive errors do not occur, as even one failure could endanger life. Development methods for critical systems aim to formally prove correctness due to high failure costs. An insulin pump example demonstrated how software controls a medical device, requiring stringent dependability to safely regulate insulin doses.
The document discusses the system development life cycle, which includes five phases: planning, analysis, design, implementation, and support. It describes the activities in each phase, including gathering requirements, designing system components, developing programs, testing the system, and training users. Project management is important throughout the life cycle to plan, schedule, and control the project. Various tools are used for modeling system processes and objects, such as data flow diagrams, entity-relationship diagrams, and data dictionaries.
الإتحــــــــــــــــــــــاد الوطني للشبــــــــــاب السوداني
المؤسسة الشبابية لتقانة المعلومات
ورشة صناعة البرمجيات في السودان
الورقة الاولى :
مناهج التعليم وصناعة البرمجيات في السودان
أسامة عبدالوهاب ريس
This document provides an introduction to software architecture design. It discusses key concepts like the relationship between requirements and architecture, architecture styles, quality attributes, and tradeoff analysis. The document is divided into multiple parts that cover topics such as an overview of software architecture, common architecture styles, quality attributes, and some rules of thumb for architecture design.
The document discusses topics related to rapid software development and evolution, including agile methods, extreme programming, rapid application development, and software prototyping. It provides details on characteristics of rapid application development processes like concurrent specification, design, and implementation. Iterative development approaches are covered along with advantages and challenges. Specific agile methods like extreme programming, with practices like test-driven development and pair programming, are also summarized.
Software Engineering Important Short Question for ExamsMuhammadTalha436
The document discusses various topics related to software engineering including:
1. The software development life cycle (SDLC) and its phases like requirements, design, implementation, testing, etc.
2. The waterfall model and its phases from modeling to maintenance.
3. The purpose of feasibility studies, data flow diagrams, and entity relationship diagrams.
4. Different types of testing done during the testing phase like unit, integration, system, black box and white box testing.
Restructuring Technical Debt - A Software and System Quality ApproachAdnan Masood
Agile Software Architecture based overview of the technical debt metaphor … idea is that developers sometimes accept compromises in a system in one dimension (e.g., modularity) to meet an urgent demand in some other dimension (e.g., a deadline), and that such compromises incur a "debt": on which "interest" has to be paid and which the "principal" should be repaid at some point for the long-term health of the project. (ACM)
This document provides an overview of key design concepts in software engineering, including abstraction, architecture, patterns, and others. It discusses how software design has evolved over decades to incorporate these concepts. Abstraction involves representing solutions at different levels of detail. Architecture defines the overall structure of a software system. Patterns describe proven solutions to common problems. The document also discusses quality guidelines for software design and how the design process fits within the broader context of software engineering.
The document summarizes a feasibility assessment of three candidate systems for an information system project. It describes the operational, technical, economic and schedule feasibility of each candidate. Metrics like functionality, costs, benefits and timelines are evaluated. Candidate 2 scores the highest overall due to fully supporting required functionality, using a mature technology, having the best cost-benefit profile and moderate implementation timeline.
The document discusses domain-specific software engineering and product lines. It defines domain-specific software architectures and product lines, and explains their relationship. It provides examples of using the Koala architecture description language and xADL 2.0 to model product line architectures for lunar lander games and software defined radios. Variation points are used to capture alternative products and versions.
Design patterns are general reusable solutions to common problems in software design. The Gang of Four patterns are 23 classic design patterns divided into creational, structural, and behavioral categories. Design principles provide guidelines for building software, such as using registries as a single source of truth, adopting a mobile-first design strategy, and ensuring privacy and security by design. Well-defined registries should be self-maintainable, have non-repudiable data, extensible schemas, and support open APIs. A cloud-first strategy employs patterns like external configuration, cache-aside, and federated identity. A minimalistic approach focuses on auto-scaling, decoupled microservices, and separating reads from writes.
System engineering involves determining operational requirements and modeling relationships between elements like hardware, software, and people to accomplish goals. It can focus on business processes or product development. The engineering process follows a hierarchy from overall objectives to domain specifications to element implementations. It is iterative to adapt to changing needs. Business process engineering derives data, application, and technology architectures, while product engineering defines architectures and infrastructure for software, hardware, data, and people components.
The document discusses the system development life cycle and its phases. It describes the importance of project management, feasibility assessment, documentation, and data gathering techniques. The phases discussed include planning, analysis, design, implementation, operation, support, and security. Activities like requirements gathering, process modeling, documentation, and alternative solutions are discussed for the analysis phase.
The document discusses systems development life cycle methodology. It describes the SDLC project team, which includes personnel from information systems and business units led by a project manager. The team also includes systems analysts who work closely with end users and managers. The document then outlines the various phases of the SDLC, including definition, construction, implementation, and maintenance phases. It also discusses alternative development approaches like prototyping, rapid application development, and agile software development.
The document discusses various software development life cycle (SDLC) models, including:
- The waterfall model, which uses sequential phases of requirements, design, coding, testing, and deployment. It is structured but rigid.
- Iterative development models, which allow for feedback loops and releasing partial software in iterations to get faster feedback.
- Agile methodologies like Scrum, which embrace changing requirements, focus on working software over documentation, and value customer collaboration over contracts. Key aspects are iterative development, regular refactoring, and communicating for learning.
- Pitfalls of agile include skill gaps, lack of traceability, poor communication, and not staying close enough to customers. Overall, agile aims to
The document discusses structured analysis and structured design (SASD) techniques including modeling system requirements using data flow diagrams, entity relationship diagrams, and structure charts. It also covers the history and goals of SASD, which aims to improve system quality by decomposing large problems and establishing clear documentation of functional requirements.
1) Legacy systems are older software systems that have been in use for a long time and are often critical to business operations.
2) They were often developed years ago using outdated technologies and have evolved over many years of customizations and changes.
3) Replacing legacy systems carries significant business risks due to a lack of complete documentation and embedded business rules not formally documented elsewhere. Changing legacy systems can also be very expensive.
[2015/2016] Software systems engineering PRINCIPLESIvano Malavolta
This presentation is about a lecture I gave within the "Software systems and services" immigration course at the Gran Sasso Science Institute, L'Aquila (Italy): http://cs.gssi.infn.it/.
http://www.ivanomalavolta.com
Unit 1-overview of software engineering arvind pandey
This document discusses key concepts in software engineering. It begins with definitions of software and software engineering. It then covers differences between software engineering and computer science/system engineering. Software processes and models are explained. Costs, methods, CASE tools, attributes of good software and challenges in the field are summarized. The document also discusses professional and ethical responsibilities of software engineers, including issues like confidentiality, competence, intellectual property and computer misuse. Finally, it outlines the eight principles of the ACM/IEEE Code of Ethics for software engineers.
Quantify the Functional Requirements in Software System EngineeringKarthika Parthasarathy
This document discusses an approach to analyzing and quantifying functional requirements in software system engineering. It begins by introducing system engineering as a process that transforms operational needs into system configurations. Software system engineering applies these principles to the development of large, complex software systems. The paper focuses on categorizing and prioritizing functional requirements during the requirements analysis phase of software development. Analyzing, designing, and organizing system elements according to engineering principles helps produce documentation to guide software development and manage technical functions. This process aims to reduce complexity and improve customer satisfaction.
The document describes the system development process, which involves a set of activities, methods, deliverables and tools used to develop information systems. It discusses the Capability Maturity Model (CMM) which assesses the maturity of an organization's development processes. The system development life cycle is separated from the methodology, which is the formal process used. Principles of system development include getting user involvement, using a problem-solving approach, establishing phases and activities, and justifying systems as investments.
Unit 2-software development process notes arvind pandey
Critical systems must be dependable to avoid catastrophic failures. Dependability encompasses availability, reliability, safety, and security. Availability refers to a system's ability to deliver services when requested, while reliability means delivering services correctly. Safety ensures excessive errors do not occur, as even one failure could endanger life. Development methods for critical systems aim to formally prove correctness due to high failure costs. An insulin pump example demonstrated how software controls a medical device, requiring stringent dependability to safely regulate insulin doses.
The document discusses the system development life cycle, which includes five phases: planning, analysis, design, implementation, and support. It describes the activities in each phase, including gathering requirements, designing system components, developing programs, testing the system, and training users. Project management is important throughout the life cycle to plan, schedule, and control the project. Various tools are used for modeling system processes and objects, such as data flow diagrams, entity-relationship diagrams, and data dictionaries.
الإتحــــــــــــــــــــــاد الوطني للشبــــــــــاب السوداني
المؤسسة الشبابية لتقانة المعلومات
ورشة صناعة البرمجيات في السودان
الورقة الاولى :
مناهج التعليم وصناعة البرمجيات في السودان
أسامة عبدالوهاب ريس
This document provides an introduction to software architecture design. It discusses key concepts like the relationship between requirements and architecture, architecture styles, quality attributes, and tradeoff analysis. The document is divided into multiple parts that cover topics such as an overview of software architecture, common architecture styles, quality attributes, and some rules of thumb for architecture design.
The document discusses topics related to rapid software development and evolution, including agile methods, extreme programming, rapid application development, and software prototyping. It provides details on characteristics of rapid application development processes like concurrent specification, design, and implementation. Iterative development approaches are covered along with advantages and challenges. Specific agile methods like extreme programming, with practices like test-driven development and pair programming, are also summarized.
Software Engineering Important Short Question for ExamsMuhammadTalha436
The document discusses various topics related to software engineering including:
1. The software development life cycle (SDLC) and its phases like requirements, design, implementation, testing, etc.
2. The waterfall model and its phases from modeling to maintenance.
3. The purpose of feasibility studies, data flow diagrams, and entity relationship diagrams.
4. Different types of testing done during the testing phase like unit, integration, system, black box and white box testing.
Restructuring Technical Debt - A Software and System Quality ApproachAdnan Masood
Agile Software Architecture based overview of the technical debt metaphor … idea is that developers sometimes accept compromises in a system in one dimension (e.g., modularity) to meet an urgent demand in some other dimension (e.g., a deadline), and that such compromises incur a "debt": on which "interest" has to be paid and which the "principal" should be repaid at some point for the long-term health of the project. (ACM)
This document provides an overview of key design concepts in software engineering, including abstraction, architecture, patterns, and others. It discusses how software design has evolved over decades to incorporate these concepts. Abstraction involves representing solutions at different levels of detail. Architecture defines the overall structure of a software system. Patterns describe proven solutions to common problems. The document also discusses quality guidelines for software design and how the design process fits within the broader context of software engineering.
The document summarizes a feasibility assessment of three candidate systems for an information system project. It describes the operational, technical, economic and schedule feasibility of each candidate. Metrics like functionality, costs, benefits and timelines are evaluated. Candidate 2 scores the highest overall due to fully supporting required functionality, using a mature technology, having the best cost-benefit profile and moderate implementation timeline.
The document discusses domain-specific software engineering and product lines. It defines domain-specific software architectures and product lines, and explains their relationship. It provides examples of using the Koala architecture description language and xADL 2.0 to model product line architectures for lunar lander games and software defined radios. Variation points are used to capture alternative products and versions.
Design patterns are general reusable solutions to common problems in software design. The Gang of Four patterns are 23 classic design patterns divided into creational, structural, and behavioral categories. Design principles provide guidelines for building software, such as using registries as a single source of truth, adopting a mobile-first design strategy, and ensuring privacy and security by design. Well-defined registries should be self-maintainable, have non-repudiable data, extensible schemas, and support open APIs. A cloud-first strategy employs patterns like external configuration, cache-aside, and federated identity. A minimalistic approach focuses on auto-scaling, decoupled microservices, and separating reads from writes.
System engineering involves determining operational requirements and modeling relationships between elements like hardware, software, and people to accomplish goals. It can focus on business processes or product development. The engineering process follows a hierarchy from overall objectives to domain specifications to element implementations. It is iterative to adapt to changing needs. Business process engineering derives data, application, and technology architectures, while product engineering defines architectures and infrastructure for software, hardware, data, and people components.
This document discusses key topics in systems engineering, including:
1) Systems engineering involves procuring, designing, implementing, and maintaining sociotechnical systems that include both technical and human elements.
2) Software systems are part of broader sociotechnical systems and software engineers must consider human, social, and organizational factors.
3) Sociotechnical systems have emergent properties that depend on the interactions between system components and cannot be understood by examining the components individually.
1. Systems engineering is an interdisciplinary approach that focuses on designing and managing complex systems as a whole rather than individual parts. It involves considering all aspects of a problem and relating technical and social factors.
2. A system is made up of interacting elements that work together to achieve specific purposes. Systems engineering is concerned with both the internal structure of a system's components and interactions, as well as a system's external relationships.
3. There are many common misconceptions about systems engineering, but it provides value through a holistic, big-picture thinking style and enabling complex problems to be addressed and transformations delivered through the life of a project.
This document provides an introduction to complex system engineering. It defines what a system is, provides examples of complex systems like information systems, and discusses key aspects of systems engineering including the system lifecycle, iterative processes, requirements, architecture, integration, and verification and validation. Key definitions and concepts in systems engineering are explained at a high level.
This document provides a summary of a systems engineering update presentation given to the International Council on Systems Engineering Colorado Front Range Chapter. It discusses:
1) The evolution of systems engineering from early space programs like Sputnik and Mercury through modern programs like the International Space Station.
2) An example case study of the Wake Shield Facility and the systems engineering approaches used in its development.
3) Recent government experience with systems engineering from the Director of Defense Research and Engineering and the Under Secretary of the Air Force.
4) Trends driving needs for systems engineering education and applications of systems engineering beyond aerospace to areas like energy and cybersecurity.
The document summarizes an event bringing together systems engineers and project managers to discuss challenges in collaborating on complex projects. The agenda included presentations on how each discipline can support the other, as well as breakout groups to discuss collaboration challenges and opportunities. Previous joint events from INCOSE and APM were also summarized, finding that both fields approach problems from different perspectives but share goals around managing risks and delivering capabilities. The workshop aimed to identify concrete steps for professional organizations to improve collaboration between the two domains.
Systems engineering is an interdisciplinary approach that focuses on understanding stakeholder needs, exploring opportunities to meet those needs, and synthesizing and evolving solutions while considering the complete problem from concept to disposal. It deals with complexity by taking a holistic view. The Apollo program is an example of successful systems engineering, landing 12 astronauts on the moon and returning 382kg of lunar samples to Earth between 1969-1972. Systems engineering standards and documents provide guidance on structuring principles, life cycle processes, and architecture descriptions.
Systems engineering is a modern discipline that deals with the proper, cost effective and quality oriented creation of complex, multidisciplinary systems.
Modern trends in Systems Engineering orient its practice towards better quality management, increased Reuse, maximum interoperability and, of course, universal reuse.
In order to cope with such complex challenges, massive knowledge storage and management is necessary.
This presentation introduces the concept of Knowledge Centric Systems engineering, and develops its ground pillars.
Ontologies are used as the basic representation schemas for system knowledge.
This document provides an introduction to complex system engineering. It defines what a system is, discusses system engineering and the system engineering process. It covers topics such as requirements, design, architecture, integration, verification and validation. The goal of system engineering is to design the right system to satisfy customer needs using an interdisciplinary approach.
MSD Engineering Manager-Senior Designer 2015octMark S. Davis
This document provides a summary of an engineering manager's experience and qualifications. It outlines over 39 years of experience managing engineering teams and designing heavy lift cranes, mooring equipment, winches/hoists, and pipe handling equipment. Recent experience includes 8 years as an engineering manager directing structural, mechanical, electrical, and hydraulic engineers to design cranes and pipe handling equipment while ensuring compliance with quality standards. The candidate has extensive experience in engineering, quality management, document control, technical publications, and service support.
Blaine T. Murakami has over 15 years of experience in medical device design and development, including experience managing projects from concept through regulatory approval and commercialization. He has designed devices ranging from surgical instruments to implantables and home-use products. Murakami received his bachelor's degree in electrical engineering from the University of Hawaii and has two patents and multiple publications.
Maria Koukou
Mob: +30 6944 522111
Mail: m.koukou@ipmcpartners.com
We are open to discuss any opportunity that could be of interest. Please feel free to contact us.
This document discusses computer-based systems engineering. It defines a system as a collection of interrelated components working towards a common objective. Systems engineering involves designing, implementing, and operating systems that include hardware, software, and people. The document outlines the systems engineering process, which typically follows a waterfall model from requirements definition to system integration. It also discusses emergent system properties, system modeling, procurement, and challenges such as coordinating different engineering disciplines.
The document provides tips for creating effective PowerPoint presentations with do's and don'ts. It recommends limiting text and using graphics to enhance the message. Text should be readable with contrasting fonts and colors used sparingly. Backgrounds should be kept simple to avoid distracting from the content. The overall message is to keep presentations straightforward and concise.
Do we in IT really know what a system is? If we answer with Servers, Applications, Hardware, we need to review our understanding, since this is far from the reality.
Software System Engineering - Chapter 10Fadhil Ismail
The document discusses requirements analysis and modeling using class diagrams and the CRC technique. It explains why requirements are analyzed, how class diagrams can be used to model requirements by representing entities, boundaries, and controls. It also describes how to identify classes from use cases and collaboration diagrams, and how the CRC technique helps allocate responsibilities between classes through role playing interactions.
Needs of Systems Thinking for Veterinarians and Inspectors -- Food Processin...dedmark
Presented at 2013 Arkansas Association for Food Protection annual conference.
Scott Stillwell, Ph.D.
Vice President, Food Safety and Quality Assurance
Tyson Foods
Software Factories in the Real World: How an IBM® WebSphere® Integration Fact...Prolifics
“Getting any software development team to effectively scale to meet the needs of a large integration project is actually harder than it sounds. For a large Automotive Retailer based in Florida, this is exactly what they needed to do. They needed a large amount of integration to be built between their brand new Point of Sales system and their new SAP back-end. In this session, you will hear about how tools such as Rational Software Architect and WebSphere Message Broker Toolkit were integrated with a Rational Team Concert-based development environment to set up super efficient software factory employing techniques such as Model-Driven Development and Continuous Integration to help this retailer keep their customers’ wheels on the road.”
This document discusses optimizing IT infrastructure through consolidation and virtualization. It provides three key points:
1) An integrated system of multiple architectures can optimize workload deployment and reduce operational overhead through centralized management and administration. This can lower costs by up to 80% for areas like power, facilities, labor, and software licenses.
2) The zEnterprise platform lowers acquisition costs by up to 56% and reduces ownership costs by up to 55% by helping to simplify the data center and establish an efficient foundation.
3) Virtualization technologies like z/VM allow workloads to efficiently utilize system resources and improve productivity by dynamically allocating CPUs, memory, and other hardware as needed.
Does Hybrid Cloud Work? 5 Success Stories with VMware Hybrid CloudsBluelock
Does hybrid cloud work? 5 success stories using a VMware vCloud-based cloud solution. Learn how to successfully implement a hybrid cloud strategy while capitalizing on your existing vSphere and VMware technology.
What you'll learn:
- How to place your workload between public, private, and non-cloud for optimal efficiency.
- Hear hybrid cloud success stories on identifying the need and implementing a solution.
- How to make your hybrid cloud strategy work for you to save you money.
This document discusses DevOps and outlines some challenges and solutions. It reviews cultural challenges between developers and operators, and outlines DevOps principles of developing against production-like systems, iterative deployments using reliable processes, and continuous monitoring. It then summarizes strategies around standardizing environments, planning and tracking changes collaboratively, managing changes through automation, and providing feedback.
The document discusses advanced systems engineering and improving defense program execution. It covers topics like the breadth and depth of systems engineering, the value of systems engineering in meeting cost and schedule targets and ensuring program success. It also discusses challenges like complexity from system integration and the need for requirements management, collaboration, and automation to address issues that have led to past system failures.
This document discusses using Java for embedded devices. It notes that there will be over 50 billion embedded devices by 2020. It outlines how Java delivers business value by extending product lifecycles, providing competitive advantages, fueling innovation, and increasing market reach. It also notes how Java can help reduce costs, reduce risks, and is standards-based. The document then discusses Oracle's device to data center platform and how it provides a complete solution from embedded devices to the cloud.
Build Scanning into Your Web Based Business Applicationbgalusha
Learn about the new EMC Captiva Cloud Toolkit, a software developer kit (SDK) that allows web application developers to quickly add scanning and imaging functionality directly to their web-based business applications. Learn how partners are leveraging the toolkit to deliver Web-based scanning solutions.
Content Oriented Architectures: Putting Content at the Center of CM ProjectsScott Abel
Presented by Joe Gollner at Documentation and Training East, October
The most common mistake found in content management projects is rather
surprising. The reason most CM projects falter is that the project
team, and frequently its stakeholders, become unduly enamored with
some piece of technology and assume, or hope, that one or two
applications will erase all of the challenges surrounding the
creation, management, reuse and delivery of content. When a particular
collection of applications fail to deliver on the expectations, the
usual response is to insert even more applications. With each new
application that is introduced, a number of connectors and patches are
also added so that one tool can work with the others that are already
in place. This continues until, with seeming inevitability, these
projects crumble under the weight of growing system complexity. These
projects fail, in short, because, in becoming fixated on technology,
they essentially forget about their content.
This presentation will use a number of project cases studies, some
older and some exceedingly current, to illustrate the downward path
that most CM projects follow. While this might sound ominous, this
journey will actually arrive at a hopeful conclusion. If CM projects
place content at the center of their solution designs, adopting in
effect a Content Oriented Architecture (COA), it becomes possible for
projects to use technology, even exploit it, in ways that emphasize
helping authors, publishers and content users. Under this model, the
quality and usefulness of the content assets becomes the overriding
focus and where automation is introduced it is to either further
improve the quality of the content or to reduce the cost and effort
needed to achieve the desired results. Examples of successful projects
will be used to prove that Content Oriented Architectures are not
really new and that they do deliver results that endure over time.
This document discusses various approaches to developing portlets for a portal proof of concept. It begins by explaining portal and portlet principles, then discusses best practices for portal development including starting small and focusing on integration. Various options for sourcing and connecting portlets are presented, such as hyperlinks, screen scraping, web page portlets, and API-based portlets. The document also covers portal development tools like WPAI and considerations for portlet development best practices.
This presentation uses case studies to introduce the primary failing of content management projects - the fact that most of the attention, and almost all of the investment, is directed towards everything but the content.
#1 keynote get social_be_mobile_runcloudCentral NyT
The document discusses emerging trends in mobility, social media, and cloud computing and Oracle's strategy and product offerings to address these trends. It highlights that mobility, social media, and cloud computing were top of mind for CIOs in 2012 and outlines Oracle's focus on providing secure, integrated solutions for social business, mobile applications, and cloud computing.
This is the presentation that I presented with Ruth Willenborg that provides a review of IBM's DevOps strategy as well as the roadmap for recently developed capabilities and future directions.
Collaborative lifecycle development for Mobile SoftwareIBM Software India
This presentation was presented at the Mobile World Congress in Barcelona, earlier this year. It has a strong Worklight illustration.
The presenters were as follows:
Leigh Williamson, IBM Distinguished Engineer
Miku Jha, Senior Solutions Architect
Johannes zu Eltz. Global Offerings Executive, IBM Mobile Enterprise Service
This presentation was presented at the Mobile World Congress in Barcelona, earlier this year. It has a strong Worklight illustration.
The presenters were as follows:
Leigh Williamson, IBM Distinguished Engineer
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The document discusses software architecture and quality attributes. It defines software architecture as the structure of components in a system and their relationships. Quality attributes are non-functional requirements that cover aspects like performance, security, and maintainability. The document discusses how architectural decisions impact quality attributes and gives examples of quality attribute scenarios to define non-functional requirements precisely. Architectural patterns can help meet quality attribute requirements.
Build and Connect Enterprise Mobile Applications from developerWorks Live! Leigh Williamson
1) IBM provides an integrated mobile development solution combining mobile application platforms and application lifecycle management tools.
2) This solution addresses challenges in developing for multiple mobile platforms, integrating with backend systems, and meeting tight time-to-market requirements.
3) Key capabilities include cross-platform mobile app development, integration with existing backend systems, and tools that help align development and operations teams to reduce cycle times.
1) The document discusses considerations for building a private cloud, including leveraging the transformational power of cloud computing to enable new business models, deliver IT without boundaries, and improve business agility.
2) It recommends mapping current applications and services to a cloud deployment strategy to prioritize workloads for migration to private, public, or hybrid clouds.
3) The evolution from current infrastructure to a cloud-based delivery model is described, starting with virtualization and advancing to consumption-based metering and automation of service delivery.
This document discusses 10 things organizations can do today to prepare for Oracle Fusion Applications. It begins with keeping current with Oracle Applications releases and inventorying enterprise business assets. It then discusses leveraging future-proof solutions by rethinking customization strategies, consolidating master data, embracing SOA-based integration, extending business intelligence portfolios, adopting enterprise reporting, empowering information workers, managing documents centrally, considering grid infrastructure, and centralizing applications lifecycle management. The overall message is that organizations can future-proof themselves for Oracle Fusion Applications by adopting modern technologies and best practices.
This document provides 10 things organizations can do today to prepare for Oracle Fusion Applications. It recommends keeping current with Oracle Applications releases, inventorying enterprise business assets like customizations and master data, and preparing a roadmap by evaluating strategic business and IT drivers. The document discusses leveraging future-proof solutions and technologies like embracing service-oriented architecture, extending business intelligence, and centralizing applications lifecycle management.
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Author Notes: This is the PowerPoint template for the Innovate 2012 Track Sessions IBMers can find additional information on presentation resources on Rational’s Managing the Brand W3 Intranet site: https://w3-03.ibm.com/software/marketing/marksite.nsf/AllMarketingPages/Brand-Rational-rt_rtb?opendocument?opendocument Imagery Avoid using cartoon like clip-art, use photo-art instead. Third party material cannot be used in a presentation without written permission (this includes product and Web page screen shots). Images must be acquired from a ‘royalty-free to use’ source such as: Microsoft or Lotus Symphony Clip Art library http://www.freebyte.com/clipart_images_photos_icons/#freevectorgraphics http://www.freedigitalphotos.net/ IBMers can use images from IBM approved image libraries: https://w3-03.ibm.com/software/marketing/marksite.nsf/AllMarketingPages/Brand-Rational-rt_rtb?OpenDocument&ExpandSection=4#_Section2 DAY_01_SYSTEMS_KEYNOTE__v02
The people in this room have the power to shape our tomorrow… because let’s face it - our world is changing, and at a pace few of us can comprehend. This unprecedented change is being driven by: Global integration Increasingly complex supply chains and empowered consumers Changing the corporate model and the nature of work itself Movement of information, work and capital across the globe Brought about by increasingly smart networked technologies that talk to each other 24x7 An explosion of bandwidth Where software is catalyst DAY_01_SYSTEMS_KEYNOTE__v02
<mouse click> <plus signs appear between the boxes and the globe> This is enabling new levels of collaboration. …. connecting the workplace and the marketplace in ways never imagined before <mouse click> <the pluses disappear> <mouse click> <the boxes slide into each other> <mouse click> <they form a small circle> At the same time, our planet is getting smaller. Globally distributed workforce Integrated value chains composed of suppliers, business partners and customers The new flexibility that Kristof spoke of when you think of delivering technology and services via the cloud Our developing embedded software for mobile devices. These are real trends affecting companies like you today. DAY_01_SYSTEMS_KEYNOTE__v02
Yet at the same time, something else is also going on – something that is affecting our society, businesses and our individual lives…the planet is also becoming smarter. … in that the systems and processes that enable physical goods to be designed, developed and managed are becoming: Intelligent — updating and evolving to meet unique customer needs. Instrumented and infused with software to increase functionality and deliver new kinds of services And Interconnected , creating systems that deliver enhanced quality and value. And as a result, we are all having to think of how things get done and how to do them better. DAY_01_SYSTEMS_KEYNOTE__v02
Nowhere may this transformation be more evident than in the creation of what all of us to in this room - smarter products From automobiles to the onstar to the satellite to the service center From the artificial hearts to the monitors From aircraft that communicate with each other and the ground crew From wind turbines that adjust to the weather conditions and connect to our power plants… to the electronic devices that connect people and enable the luxuries that we have become accustom Today’s smarter products no longer deliver a single functionality; or operate in a vacuum. They are increasing providing multidimensional and personalized functions in a systems of systems environment They are essential to making our lives more efficient, reliable, healthy and delightful. Nowhere may this transformation be more evident than in the creation of what all of us to in this room - smarter products From automobiles to the onstar to the satellite to the service center From the artificial hearts to the monitors From aircraft that communicate with each other and the ground crew From wind turbines that adjust to the weather conditions and connect to our power plants… to the electronic devices that connect people and enable the luxuries that we have become accustom Today’s smarter products no longer deliver a single functionality; or operate in a vacuum. They are increasing providing multidimensional and personalized functions in a systems of systems environment They are essential to making our lives more efficient, reliable, healthy and delightful. And are the building blocks for our future…and smarter planet Which is exciting – if we can pull it off. But is also a little scary for those of us in the room who have to make this vision a reality…. For the SE… For the SW…. DAY_01_SYSTEMS_KEYNOTE__v02
Optimize systems behavior Maximize product quality Converge engineering disciplines [Main point of the slide: For companies developing smart products to remain competitive, they must acknowledge at least three imperatives, all of which are focused on taking a systems engineering approach to product development that raises the traditional focus on physical design to a higher level multi-disciplinary approach that better fosters innovation.] The main message of this slide is to emphasize the imperatives for companies that want to improve their competitiveness in developing smart products. These companies have been told for years by PLM vendors that using their PLM products for detailed design will give them everything they need to maximize innovation and reduce costs. However, this advice misses some key points that have become much more relevant in recent years as software content within smart products has dramatically escalated, changing the way product development must be approached. [Main point behind “Optimize systems behavior”: Detailed design, a strength of traditional PLM vendors, locks in design decisions, discouraging design iteration and experimentation, which are key to innovation. The behavior of the smart product as a system, however, can and should be optimized early in the design process, where cost of change is low, and where design decisions have maximum impact on product performance, cost and quality.] Today’s smart products can no longer be designed simply as physical devices with some electronics and software thrown in. In fact, these products are complex systems, comprised of a hierarchy of sub-systems, all of which must operate in harmony to ensure proper function of the product. Much of the innovation in today’s products comes well before the detailed design phase; in fact, it comes as systems are being defined and various aspects of behavior and function are being assigned to specific sub-systems. This is called functional and logical design and can be quite complicated—enough so that specialized modeling techniques are required to manage the overall complexity. However, it is during functional and logical design that the overall behavior of a smart product can be defined at the highest level, and it is here that systems behavior should be optimized. After detailed design begins, design decisions become documented and locked in, and further iteration and change is naturally discouraged. Leading companies optimize product behavior as defined within the systems that comprise the product. [Main point behind “Converge engineering disciplines”: Traditional approaches to product development (such as PLM) are discipline-centric, and are not designed to view design decisions outside of their own domain. Successful product development organizations must view the design and the impact of design decisions across all engineering disciplines—to understand the impact of one discipline on another.] Similarly, a systems engineering approach looks at product behavior and functionality across multiple engineering disciplines, meaning that it helps understanding of how the disciplines interact together. Traditional approaches focus on the mechanical engineering aspects as documented in detailed design, and then look at the effects of electronics and software. Without the rigor of systems engineering, it’s difficult to understand how all the disciplines truly interact, for instance, how to propagate the effect of a change in one discipline to another. Innovative product design calls for organizations to converge engineering disciplines using the guidance obtained from systems engineering principles. [Main point behind “Maximize product quality”: It’s easy to talk about the importance of product quality, but balancing quality and cost are difficult, as any level of quality can be achieved with enough cost. The key is to ensure that product requirements are tested—no more, no less. This is achieved by linking requirements and tests (traceability), at all levels of design—functional, logical, and physical (not just physical as is the case with PLM).] It goes without saying that product quality should be maximized—but at what cost? There’s always a tradeoff, as enough time and money thrown at quality is sure to increase it. There are smarter ways to build in quality, principally by ensuring that the product requirements that define the product are mapped directly to tests that verify those requirements. Though it sounds simple, traditional product development environments don’t maintain this simple relationship between requirements and tests. This level of traceability is mandatory in an efficient development environment. In fact, this traceability needs to exist not only in the physical product definition, but in the functional and logical designs as well. In summary, all three of these imperative reinforce each other in support of systems engineering principles. Adhering to one of the principles is good, but adhering to all three will generate a huge boost to competitiveness in developing smart products. DAY_01_SYSTEMS_KEYNOTE__v02
Improve agility Responding to changing market and customer demands is a key concern for software developers - 49% of embedded SW development organizations cite scope creep and changing requirements as their top challenge. This is driving a move to more agile processes, replacing big design up front with focused iterations and prioritizing what really matters to ensure that the right product is developed. Best in Class companies are more likely to use agile practices: For example they are: 39% more likely to keep code as simple as possible 40% more likely to conduct peer reviews of code 27% more likely to write software in small verifiable steps 66% more likely to colocate developers during development 147% more likely to pair developers (peer to peer collaboration) (From Aberdeen Group: The Future of Innovation in Tomorrow’s Products, September 2011) Compliance Complex software-based systems have increasingly significant safety, financial and even societal consequences of failure which must be managed through increased standards of dependability. This is driving the development and adoption of industry standards and the need to incorporate standards support into development processes and tooling. Aberdeen Group found in 2011 that 22% of companies cited the need for regulatory and standards compliance as a top business pressure driving improvement in embedded software development compared to 10% in 2009. From the market perspective compliance is a hygiene factor – it must be provided without adversely affecting costs or delivery timing. Automation is key factors in streamlining compliance—by building support for standards into processes and the tools that enact them, teams can automate otherwise productivity-sapping activities such as data gathering and the generation of required documents. And compliance and agility don't have to be in contention – by building compliance into agile processes companies can achieve their compliance objectives whilst delivering the responsiveness required by today’s markets. (From Aberdeen Group: The Future of Innovation in Tomorrow’s Products, September 2011) Integrate HW/SW development What matters in the marketplace is working products and systems. Whilst much of a product’s capability stems from software it can’t be developed independently. As software functionality and complexity increases, so does its dependency on hardware. Changes and defect fixes must be synchronized across hardware and software development teams to avoid costly, schedule-busting integration issues. This means fostering a development environment where HW and SW teams can collaborate and share timely, accurate information as the design evolves. To achieve this companies must pay close attention to both processes and tooling. In their Future of Innovation in Tomorrow’s Products report Aberdeen Group found that 48% of best in class companies were using some form of HW/SW dependency management compared to an industry average of 33%. (From Aberdeen Group: The Future of Innovation in Tomorrow’s Products, September 2011) DAY_01_SYSTEMS_KEYNOTE__v02
Product manufacturers must manage increased complexity when developing smarter products. IBM announces solutions that enable product manufacturers to: Accelerate development by integrating across the complex software and systems supply chain Access a growing and extensive business partner ecosystem Reduce risk in high-growth industries through targeted accelerators DAY_01_SYSTEMS_KEYNOTE__v02
It is pretty obvious which approach most designers take in creating everyday products. When we consider the real usage of such systems, we discover new features and combinations of features necessary to meet those needs. Otherwise we risk building feature-rich products that are both overly complex and which don’t meet real user’s needs. They don’t support how the users will actually want to use them. All GPS Navigation Systems have the features listed here, but few if any will perform all of the example usages listed here, yet these seem like perfectly reasonable things to do, and they are not harder to implement than the other features included but perhaps not as useful. What’s needed is study and modeling of how the system will actually be used in practice.
The long-term goals of this solution approach include the capability to: - Manage cross-domain changes through a centralized requirements change management process - Reduce the time to propagate changes throughout the entire design team Reduce discovering ‘missed’ changes late in the project - Improve management of multiple engineering disciplines Increase visibility and communication Obtain a more complete impact analysis of changes – with cross-domain visibility Better manage schedules, time to market, costs and ROI - Leverage existing investments in Software and Systems development platforms
Web view of a Rhapsody model in Rhapsody Design Manager Browser showing design information is on left can be used to navigate the design in a very similar fashion to the Rhapsody client browser Comments are added on the right which can be supplemented with diagram mark ups
But first let’s talk a little bit about the documentation challenges organizations face today. To create internal documentations for various purposes, organizations can run into several issues which could come from various factors including scaling or globalization, regulatory requirements, or simply trying to inform their staff. They can run into missing information in their documentation or format inconsistencies they have to deal with because the documents just simply don’t look good and they are inconsistent. Add to that the need to gather information from disparate applications or teams and place them in a single document and the whole process becomes extremely complex. Now you have to open each application and cut and paste into a single document. In many companies engineers seem to be overwhelmed with both content and formatting of documents. They end up not only having to worry about making sure that the information is accurate but also ensuring that it’s formatted correctly. And a lot of times what we see is that the documentation isn’t always up to date properly so the team and management is misinformed. Reviews are wasted on misinformed decisions, while engineer work off of old specs. The problems could be endless and the end it could indirectly affect the quality of your product. So documentation internal or external is very important. So how could you deal with some of these challenges? Internal Note : Some of the issues customers could be facing are: We don’t get paid if up-to-date documentation is not delivered. How can we make sure that everything is up to date? Not everyone uses DOORS How do I show information to management and …? Engineers should not be responsible for content AND format How do I off load and automate some of their work? Repetitive periodic reviews are part of our process How can we streamline document preparation for meetings? We need to report on the same data from many different perspectives We need to ensure consistency of format across the organization
The key to success is separation of the content issues from your formatting issues . Normally what happens is that project engineers manipulate their requirements and models in some quirky fashion just so it will be useable in a document later on. It’s an improper use of engineering time to worry about keeping their data in a useable format for documentation purposes. For that what you will most likely get, is data compromised for the sake of formatting. That’s another reason they can’t worry about formatting. That needs to be done for them. But then you run into another problem. If you need a way to merge the format and content, efficiently and on demand. That’s where automation of the product documentation lifecycle with Telelogic Publishing Engine comes handy. TPE is a template based tool that automatically produces documents directly from information contained in data sources it supports. TPE uses a knowledge base of development methods, capture notations, data sources and document standards to find extract, format and place project engineering information into appropriate sections. Included predefined and user-definable templates ensure compliance with both formal and company-specific publication standards. TPE allows very diverse content types to be combined, and structured so that the result is a great looking, functional set of documents. It can do this fast enough so that the resulting document stays in synch with the true state of the project while relieving tool users of formatting details and headaches of getting diverse tools to format the same way. In more detail, you can see that TPE can extract information from a wide range of content sources; Our own products such as DOORS, Tau and also any 3 rd party content sources capable of exporting their data as XML. Once TPE has extracted data, it can organise it using industry standard or company defined templates, and then publish to a variety of popular formats, so TPE can be your single document generation environment.
Author Note: Mandatory Rational closing slide (includes appropriate legal disclaimer). Graphic is available in English only.