Talk of Kerim Cakmak (IBM, Rational Systems Tiger, CEE) "Applying Continuous Verification and Validation to achieve the right Quality in Systems delivery" at 87th INCOSE Russian Chapter meeting, 12 Februaty 2014.
Richard Crisp -- predictable development for the IoTAnatoly Levenchuk
The document discusses the CRYSTAL project, which aims to provide critical systems engineering innovation and acceleration through interoperability across the engineering lifecycle. It highlights an aerospace use case where engineering management uses IBM tools to efficiently respond to a regulatory change impacting an aircraft de-icing system. The tools allow the manager to quickly understand the impacts, direct changes to the responsible teams, and monitor progress to help the team meet goals predictably and efficiently.
The document discusses several software process models including the waterfall model, incremental model, and reusable software. It provides details on the phases and activities of the waterfall model including requirements, design, implementation, testing, and maintenance. It also describes the incremental model as combining elements of the waterfall model in an iterative fashion. Finally, it covers reusable software and notes advantages such as reduced costs and risks but also disadvantages like potential loss of control.
The document discusses various topics related to software development, including:
- Different roles in IT such as software engineers, QA engineers, and project managers.
- Phases of a software development life cycle including requirements gathering, analysis, design, coding, testing, deployment, and maintenance.
- Key activities in each phase such as creating use cases and test cases in requirements, conducting feasibility studies in analysis, and developing algorithms and pseudo code in design.
The V-model is a software development lifecycle (SDLC) model where each phase of development (requirements, design, implementation, testing) is paired with a corresponding testing phase. Testing begins during the design phase and progresses phase by phase until the final system testing. The left side of the V represents the software development process while the right side represents testing. The V-model ensures testing is planned and executed for each development phase in parallel, allowing issues to be found and addressed early.
This document discusses test planning and management. It covers preparing a test plan by determining what to test, how to test, resources needed, and timelines. It also discusses scope management, prioritizing features for testing, deciding the test approach/strategy, and identifying test deliverables, risks, and responsibilities. The document provides details on test infrastructure management, configuration management, and people management for testing.
The document discusses various software life cycle models, including waterfall, V-model, incremental, prototype, spiral, RAD and 4GT. It provides descriptions of each model's phases, advantages and disadvantages. The waterfall and V-model are presented as classic sequential models. Incremental and spiral models iterate through phases to allow for flexibility. Prototype and RAD models emphasize early prototypes. Risk analysis is a key part of the spiral model.
Richard Crisp -- predictable development for the IoTAnatoly Levenchuk
The document discusses the CRYSTAL project, which aims to provide critical systems engineering innovation and acceleration through interoperability across the engineering lifecycle. It highlights an aerospace use case where engineering management uses IBM tools to efficiently respond to a regulatory change impacting an aircraft de-icing system. The tools allow the manager to quickly understand the impacts, direct changes to the responsible teams, and monitor progress to help the team meet goals predictably and efficiently.
The document discusses several software process models including the waterfall model, incremental model, and reusable software. It provides details on the phases and activities of the waterfall model including requirements, design, implementation, testing, and maintenance. It also describes the incremental model as combining elements of the waterfall model in an iterative fashion. Finally, it covers reusable software and notes advantages such as reduced costs and risks but also disadvantages like potential loss of control.
The document discusses various topics related to software development, including:
- Different roles in IT such as software engineers, QA engineers, and project managers.
- Phases of a software development life cycle including requirements gathering, analysis, design, coding, testing, deployment, and maintenance.
- Key activities in each phase such as creating use cases and test cases in requirements, conducting feasibility studies in analysis, and developing algorithms and pseudo code in design.
The V-model is a software development lifecycle (SDLC) model where each phase of development (requirements, design, implementation, testing) is paired with a corresponding testing phase. Testing begins during the design phase and progresses phase by phase until the final system testing. The left side of the V represents the software development process while the right side represents testing. The V-model ensures testing is planned and executed for each development phase in parallel, allowing issues to be found and addressed early.
This document discusses test planning and management. It covers preparing a test plan by determining what to test, how to test, resources needed, and timelines. It also discusses scope management, prioritizing features for testing, deciding the test approach/strategy, and identifying test deliverables, risks, and responsibilities. The document provides details on test infrastructure management, configuration management, and people management for testing.
The document discusses various software life cycle models, including waterfall, V-model, incremental, prototype, spiral, RAD and 4GT. It provides descriptions of each model's phases, advantages and disadvantages. The waterfall and V-model are presented as classic sequential models. Incremental and spiral models iterate through phases to allow for flexibility. Prototype and RAD models emphasize early prototypes. Risk analysis is a key part of the spiral model.
The document outlines the phases of the software development life cycle (SDLC) including requirements and analysis, design, development, testing, deployment, and maintenance. Requirements and analysis involves creating a software requirements specification document. Design has high-level and low-level phases to design logical and detailed views. Development is the coding phase based on functional specifications. Testing verifies programs against requirements through unit, integration, and system testing. Deployment involves acceptance testing and moving to the customer's production environment. Maintenance supports regular upgrades after deployment.
The document discusses object-oriented systems development life cycles. It describes the software development process as consisting of analysis, design, implementation, testing, and refinement to transform user needs into a software solution. Emphasis is placed on spending more time gathering requirements, developing models, and ensuring high quality through techniques like validation and verification.
The document describes the V-Model software development lifecycle (SDLC). It discusses the history and evolution of the V-Model from the waterfall model. The key phases of the V-Model are presented, including requirements analysis, design, coding, unit testing, integration testing, system testing, and acceptance testing. The phases emphasize testing activities that correspond to each design phase. Pros and cons of the V-Model are provided, as well as when it is most applicable compared to other models like waterfall.
This document provides an overview of key concepts in software engineering including software processes, process models, activities, and coping with change. It discusses the waterfall model, incremental development, and reuse-oriented processes. The main activities of software specification, design and implementation, validation, and evolution are described. The document also briefly introduces topics like requirements engineering, system modeling, architectural design, testing, and software maintenance.
The document discusses requirements engineering and provides examples of different types of requirements. It defines requirements engineering as the process of establishing customer requirements and constraints for a system. There are two main types of requirements - functional requirements which describe system services, and non-functional requirements which define constraints like timing or development process standards. Non-functional requirements can impact system architecture. Requirements need to be precise, complete, and consistent to avoid ambiguity and conflicts during development. The operational domain of a system also imposes domain requirements that must be satisfied.
Tiara Ramadhani - Program Studi S1 Sistem Informasi - Fakultas Sains dan Tekn...Tiara Ramadhani
Tugas ini di buat untuk memenuhi salah satu tugas mata kuliah pada Program Studi S1 Sistem Informasi.
Oleh ;
Nama : Tiara Ramadhani.
NIM ; 11453201723
SIF VII E
UIN SUSKA RIAU
This document discusses hardware/software co-verification using FPGA platforms. It describes the challenges of integrating hardware and software development and the benefits of using FPGA platforms to enable parallel development and early integration testing. Specifically, it outlines an integrated product development flow and discusses how an FPGA-based prototyping platform like the IRIS S3 compute board provides a flexible solution that can be used at multiple stages to reduce risk and costs compared to traditional serialized hardware and software development approaches.
The document proposes an action plan to improve the software development process at Intel by adopting elements of the CMMI framework. It outlines suggested improvements to requirements gathering, design, and verification processes including using UML modeling, design reviews, test planning, and code reviews. Potential costs include training and an initial learning curve, while benefits could include increased customer satisfaction, improved work products, and fewer bugs. Feedback is sought from technical staff before implementing the changes.
This document discusses security permissions in Primavera Contract Management (PCM) software and how custom reports can help audit and manage user security. It summarizes new reports created to identify issues such as mismatched access templates and project permissions. The reports link user and project assignments to access templates to find discrepancies. This allows administrators to ensure permissions are consistently applied according to templates. The document argues these reports satisfy requirements to understand which users have access to what projects and resources. It also explores applying the reporting concept to other areas of PCM data.
SDLC is the acronym of Software Development Life Cycle. It is also called as Software development process. The software development life cycle (SDLC) is a framework defining tasks performed at each step in the software development process.
The document provides an overview of agile software development methods. It discusses topics like agile vs plan-driven development, extreme programming, the agile manifesto and principles. Extreme programming is described as taking an extreme approach to iterative development with new versions built several times per day and increments delivered every 2 weeks. Key practices of XP like incremental planning, small releases, test-first development, pair programming and continuous integration are also summarized.
The document discusses various software development life cycle models, including the classical waterfall model, iterative waterfall model, and prototyping model. It provides details on the phases of each model such as feasibility study, requirements analysis, design, coding, testing, and maintenance. The classical waterfall model is presented as idealistic since it assumes no defects, while the iterative waterfall model incorporates feedback loops to allow for defects to be addressed in the phase they are introduced.
The document discusses several software engineering life cycle models including the build and fix model, waterfall model, incremental process model, iterative enhancement model, rapid application development model, evolutionary process model, prototype model, and spiral model. It provides descriptions of each model's phases and suitability for different types of projects. The spiral model incorporates risk management and allows for revisiting previous phases if needed, making it more flexible than traditional linear models.
The software process involves specification, design and implementation, validation, and evolution activities. It can be modeled using plan-driven approaches like the waterfall model or agile approaches. The waterfall model involves separate sequential phases while incremental development interleaves activities. Reuse-oriented processes focus on assembling systems from existing components. Real processes combine elements of different models. Specification defines system requirements through requirements engineering. Design translates requirements into a software structure and implementation creates an executable program. Validation verifies the system meets requirements through testing. Evolution maintains and changes the system in response to changing needs.
The document discusses several software development models including the waterfall model, V-model, iterative models, Rapid Application Development (RAD) model, and Agile development models like Extreme Programming (XP). The V-model uses four test levels - component, integration, system, and acceptance testing. Iterative models deliver functionality in increments with each increment tested at several levels. RAD encourages active customer feedback for early visibility and decisions about future development. Agile models like XP promote generating stories to define functionality and on-site customers for continual feedback.
Embedded Product Development Life Cycle(EDLC)UshaRani289
The document describes the embedded product development life cycle (EDLC) which involves multiple phases from conceptualization to retirement. It begins with identifying a need for a new or upgraded product. This is followed by conceptualization, analysis, design, development and testing, deployment, support, and upgrades. Each phase is described in detail along with its key activities such as feasibility studies, requirements analysis, interface definition, testing plans, product installation, and providing support. The life cycle concludes with retiring the product when a new technology becomes available.
This document provides a summary of key concepts in software development lifecycles (SDLC), testing, and related topics:
- It defines SDLC as the process that ensures good software is built and outlines common SDLC phases like planning, analysis, design, development, testing, deployment, and support.
- It also describes different SDLC models like waterfall, iterative, agile, and V-model approaches.
- Key aspects of software testing are defined like validation, verification, manual vs. automation testing, and common test types like unit, integration, system, and user acceptance testing.
- The roles of subject matter experts and types of testing portfolios are briefly covered.
-
An IT security company wanted to test a new anti-malware product on various hardware configurations. They hired iFocus Systec to set up a test lab with diverse hardware, procure new hardware as it was released, and conduct compatibility and functionality testing. iFocus researched hardware trends, procured hundreds of systems, and identified several hundred hardware-specific defects. The engagement was successful and expanded over time, leading the client to see iFocus as a trusted long-term test partner.
Вячеслав Мизгулин - Результаты работы на INCOSE WS 2017Alexander Shamanin
Доклад Вячеслава Мизгулина (к.т.н., ИТ-консультант, Доцент кафедры интеллектуальных информационных систем УрФУ, Руководитель программы магистратуры "Системная инженерия" Инженерной школы новой индустрии УрФУ, Казначей Русского отделения INCOSE)
-- Результаты работы на INCOSE WS 2017
1. Общий обзор мероприятия INCOSE WS 2017 и рефлексия "по горячим следам".
2. Стратегия INCOSE и пути развития Русского отделения INCOSE, интерес к Русскому отделению.
3. Перевод INCOSE Handbook и перспективы сертификации на русском языке, тренинги и образовательные программы.
4. Краткий обзор деятельности некоторых рабочих групп - возможность подключиться к международной деятельности:
- MBSE
- PM-SE
- Systems science
- Requirement engineering
- Agile SE and Systems science
- и т.д.
5. Методологии работы на воркшопах.
Доклад Марка Акоева (Уральский федеральный университет) "Системная динамика как вид системного мышления" на 119 заседании Русского отделения INCOSE, 26 октября 2016г.
The document outlines the phases of the software development life cycle (SDLC) including requirements and analysis, design, development, testing, deployment, and maintenance. Requirements and analysis involves creating a software requirements specification document. Design has high-level and low-level phases to design logical and detailed views. Development is the coding phase based on functional specifications. Testing verifies programs against requirements through unit, integration, and system testing. Deployment involves acceptance testing and moving to the customer's production environment. Maintenance supports regular upgrades after deployment.
The document discusses object-oriented systems development life cycles. It describes the software development process as consisting of analysis, design, implementation, testing, and refinement to transform user needs into a software solution. Emphasis is placed on spending more time gathering requirements, developing models, and ensuring high quality through techniques like validation and verification.
The document describes the V-Model software development lifecycle (SDLC). It discusses the history and evolution of the V-Model from the waterfall model. The key phases of the V-Model are presented, including requirements analysis, design, coding, unit testing, integration testing, system testing, and acceptance testing. The phases emphasize testing activities that correspond to each design phase. Pros and cons of the V-Model are provided, as well as when it is most applicable compared to other models like waterfall.
This document provides an overview of key concepts in software engineering including software processes, process models, activities, and coping with change. It discusses the waterfall model, incremental development, and reuse-oriented processes. The main activities of software specification, design and implementation, validation, and evolution are described. The document also briefly introduces topics like requirements engineering, system modeling, architectural design, testing, and software maintenance.
The document discusses requirements engineering and provides examples of different types of requirements. It defines requirements engineering as the process of establishing customer requirements and constraints for a system. There are two main types of requirements - functional requirements which describe system services, and non-functional requirements which define constraints like timing or development process standards. Non-functional requirements can impact system architecture. Requirements need to be precise, complete, and consistent to avoid ambiguity and conflicts during development. The operational domain of a system also imposes domain requirements that must be satisfied.
Tiara Ramadhani - Program Studi S1 Sistem Informasi - Fakultas Sains dan Tekn...Tiara Ramadhani
Tugas ini di buat untuk memenuhi salah satu tugas mata kuliah pada Program Studi S1 Sistem Informasi.
Oleh ;
Nama : Tiara Ramadhani.
NIM ; 11453201723
SIF VII E
UIN SUSKA RIAU
This document discusses hardware/software co-verification using FPGA platforms. It describes the challenges of integrating hardware and software development and the benefits of using FPGA platforms to enable parallel development and early integration testing. Specifically, it outlines an integrated product development flow and discusses how an FPGA-based prototyping platform like the IRIS S3 compute board provides a flexible solution that can be used at multiple stages to reduce risk and costs compared to traditional serialized hardware and software development approaches.
The document proposes an action plan to improve the software development process at Intel by adopting elements of the CMMI framework. It outlines suggested improvements to requirements gathering, design, and verification processes including using UML modeling, design reviews, test planning, and code reviews. Potential costs include training and an initial learning curve, while benefits could include increased customer satisfaction, improved work products, and fewer bugs. Feedback is sought from technical staff before implementing the changes.
This document discusses security permissions in Primavera Contract Management (PCM) software and how custom reports can help audit and manage user security. It summarizes new reports created to identify issues such as mismatched access templates and project permissions. The reports link user and project assignments to access templates to find discrepancies. This allows administrators to ensure permissions are consistently applied according to templates. The document argues these reports satisfy requirements to understand which users have access to what projects and resources. It also explores applying the reporting concept to other areas of PCM data.
SDLC is the acronym of Software Development Life Cycle. It is also called as Software development process. The software development life cycle (SDLC) is a framework defining tasks performed at each step in the software development process.
The document provides an overview of agile software development methods. It discusses topics like agile vs plan-driven development, extreme programming, the agile manifesto and principles. Extreme programming is described as taking an extreme approach to iterative development with new versions built several times per day and increments delivered every 2 weeks. Key practices of XP like incremental planning, small releases, test-first development, pair programming and continuous integration are also summarized.
The document discusses various software development life cycle models, including the classical waterfall model, iterative waterfall model, and prototyping model. It provides details on the phases of each model such as feasibility study, requirements analysis, design, coding, testing, and maintenance. The classical waterfall model is presented as idealistic since it assumes no defects, while the iterative waterfall model incorporates feedback loops to allow for defects to be addressed in the phase they are introduced.
The document discusses several software engineering life cycle models including the build and fix model, waterfall model, incremental process model, iterative enhancement model, rapid application development model, evolutionary process model, prototype model, and spiral model. It provides descriptions of each model's phases and suitability for different types of projects. The spiral model incorporates risk management and allows for revisiting previous phases if needed, making it more flexible than traditional linear models.
The software process involves specification, design and implementation, validation, and evolution activities. It can be modeled using plan-driven approaches like the waterfall model or agile approaches. The waterfall model involves separate sequential phases while incremental development interleaves activities. Reuse-oriented processes focus on assembling systems from existing components. Real processes combine elements of different models. Specification defines system requirements through requirements engineering. Design translates requirements into a software structure and implementation creates an executable program. Validation verifies the system meets requirements through testing. Evolution maintains and changes the system in response to changing needs.
The document discusses several software development models including the waterfall model, V-model, iterative models, Rapid Application Development (RAD) model, and Agile development models like Extreme Programming (XP). The V-model uses four test levels - component, integration, system, and acceptance testing. Iterative models deliver functionality in increments with each increment tested at several levels. RAD encourages active customer feedback for early visibility and decisions about future development. Agile models like XP promote generating stories to define functionality and on-site customers for continual feedback.
Embedded Product Development Life Cycle(EDLC)UshaRani289
The document describes the embedded product development life cycle (EDLC) which involves multiple phases from conceptualization to retirement. It begins with identifying a need for a new or upgraded product. This is followed by conceptualization, analysis, design, development and testing, deployment, support, and upgrades. Each phase is described in detail along with its key activities such as feasibility studies, requirements analysis, interface definition, testing plans, product installation, and providing support. The life cycle concludes with retiring the product when a new technology becomes available.
This document provides a summary of key concepts in software development lifecycles (SDLC), testing, and related topics:
- It defines SDLC as the process that ensures good software is built and outlines common SDLC phases like planning, analysis, design, development, testing, deployment, and support.
- It also describes different SDLC models like waterfall, iterative, agile, and V-model approaches.
- Key aspects of software testing are defined like validation, verification, manual vs. automation testing, and common test types like unit, integration, system, and user acceptance testing.
- The roles of subject matter experts and types of testing portfolios are briefly covered.
-
An IT security company wanted to test a new anti-malware product on various hardware configurations. They hired iFocus Systec to set up a test lab with diverse hardware, procure new hardware as it was released, and conduct compatibility and functionality testing. iFocus researched hardware trends, procured hundreds of systems, and identified several hundred hardware-specific defects. The engagement was successful and expanded over time, leading the client to see iFocus as a trusted long-term test partner.
Вячеслав Мизгулин - Результаты работы на INCOSE WS 2017Alexander Shamanin
Доклад Вячеслава Мизгулина (к.т.н., ИТ-консультант, Доцент кафедры интеллектуальных информационных систем УрФУ, Руководитель программы магистратуры "Системная инженерия" Инженерной школы новой индустрии УрФУ, Казначей Русского отделения INCOSE)
-- Результаты работы на INCOSE WS 2017
1. Общий обзор мероприятия INCOSE WS 2017 и рефлексия "по горячим следам".
2. Стратегия INCOSE и пути развития Русского отделения INCOSE, интерес к Русскому отделению.
3. Перевод INCOSE Handbook и перспективы сертификации на русском языке, тренинги и образовательные программы.
4. Краткий обзор деятельности некоторых рабочих групп - возможность подключиться к международной деятельности:
- MBSE
- PM-SE
- Systems science
- Requirement engineering
- Agile SE and Systems science
- и т.д.
5. Методологии работы на воркшопах.
Доклад Марка Акоева (Уральский федеральный университет) "Системная динамика как вид системного мышления" на 119 заседании Русского отделения INCOSE, 26 октября 2016г.
В.Мизгулин -- программа магистратуры по системной инженерииAnatoly Levenchuk
Доклад В.Мизгулина "Программа магистратуры по системной инженерии" на 7й рабочей встрече Русского отделения INCOSE по проблемам системной инженерии, 23 апреля 2016г.
В.Алейник -- системные подходы П.Чекланда и Г.П.ЩедровицкогоAnatoly Levenchuk
Доклад Владимира Алейника (ОАО "НИИ Графит") "Сопоставление системной методологии П.Чекланда и системного подхода Г.П.Щедровицкого" на 88 заседании Русского отделения INCOSE, 26 февраля 2014г.
The document discusses personal assistants and how they can help decentralize and coordinate complex processes. It describes how a personal assistant could help coordinate a patient's care among different medical specialists by cloning case files, synchronizing changes, and transforming data between their differing representations to facilitate communication. The personal assistant is envisioned to one day interact with other assistants, clone and synchronize projects, and enable large scale processes to emerge from the interactions between decentralized parties.
From Continuous Integration to DevOps - Japan Innovate 2013Sanjeev Sharma
This document discusses the evolution of continuous integration (CI) and its relationship with Agile development practices and automation. It provides historical context on how CI tools emerged in the early 2000s and were initially used by small Agile teams. It then discusses how CI and Agile expanded into larger enterprise organizations between 2005-2010, bringing new challenges around governance, testing, and operations. Finally, it describes how CI and Agile have influenced the emergence of DevOps practices aimed at optimizing the entire software delivery pipeline from development to production.
This document presents an overview of independent verification and validation (IV&V) provided by Maneat. It defines verification as evaluating work products to ensure they meet requirements, while validation ensures the product meets user needs. The benefits of IV&V include improved quality, reduced costs and failures. Maneat's 5-step methodology covers the full lifecycle and priorities include understanding business flows and risks. Maneat tailors its IV&V approach to each client's needs and industry.
The document discusses automating the delivery pipeline for JKE Bank's mortgage application. It describes JKE Bank's hybrid cloud environment and mainframe applications. It then outlines the key aspects of an automated delivery pipeline, including a change management system, development environment, automated testing, quality checks, and versioned deployments.
Learn how to establish a greater sense of confidence in your release cycle, along with the practices and processes to create a high-performing engineering culture within your team.
1) The document discusses the challenges of managing application performance in today's complex IT environments. It highlights how applications have become more complex with multiple technologies, devices, browsers, and cloud services.
2) It introduces Compuware's Application Performance Management (APM) solution which provides end-to-end visibility from the user perspective across the full application delivery chain. The solution offers real-time transaction management, analytics, and tools to foster collaboration between teams.
3) Compuware claims its APM approach provides value faster than traditional methods through features like automatic application mapping, smart analytics, and an APM-as-a-Service model.
This document provides an overview of IBM Application Discovery, which helps clients understand their legacy application code on mainframe systems. It discusses how Application Discovery can help clients protect their investments in legacy applications by enabling digital transformation and API integration. Several customer examples are then presented that discuss how Application Discovery helped reduce risks, enable transformation, and increase productivity for clients in industries such as insurance, banking, retail, and energy. The document concludes with frequently asked questions about Application Discovery.
1) Complex software is everywhere and software development is difficult, time-consuming, and expensive.
2) There are often large gaps in software development processes which creates risks like inconsistent processes, lack of productivity reporting, and unpredictable development.
3) Visual Studio 2012 aims to address issues in software development through features like integrated testing tools, storyboarding for early feedback, load testing, and monitoring of applications in production.
In today's businesses, an application going down can mean millions of dollars in lost revenue. Learn how to optimize the performance of your enterprise applications powered by MongoDB with IBM Application Performance Management (APM). IBM APM will give you full visibility into your application stack and infrastructure, track every transaction going through it, and help you diagnose problems in mere minutes. With built-in analytics to predict outages before they occur and integration directly into MMS, IBM APM is a must-have solution to keep your business-critical applications up and your revenue flowing.
This document summarizes a presentation about adopting DevOps practices to improve software delivery. It discusses how delivering software is challenging and costly, and that DevOps can help by improving collaboration between development and operations teams. A case study is presented from HM Health Solutions, who saw a 75% reduction in time spent fixing defects in testing and an 82% reduction in production after adopting DevOps practices like continuous integration, automated testing, and deployment. Tips are provided on getting started with an enterprise DevOps rollout.
IDC & Gomez Webinar --Best Practices: Protect Your Online Revenue Through Web...Compuware APM
Did you know that 85% of users complain about slow response time? Poor web application performance can directly impact your bottom line
The success of your critical eBusiness initiatives depends on your ability to deliver quality web experiences. Unfortunately, 65% of applications are not properly load tested prior to launch, resulting in lost revenue, increased support costs and brand damage. So how can you ensure success when launching new applications, adding features, deploying new infrastructure, rolling out marketing campaigns, or preparing for seasonal spikes like the holiday shopping season?
Join us as our guest speaker, Melinda Ballou, IDC’s Program Director for Application Life-Cycle Management research discusses challenges, drivers and best practices for effective web performance testing and quality life-cycle management for today’s rich and complex applications. Additional topics that Imad Mouline, Gomez’s CTO will cover in this session are:
Best practices for ensuring the success of critical eBusiness initiatives
The end-user experience and business impact of emerging web technologies like Rich Internet Applications, virtualization, cloud computing and Web 2.0
A new approach for web performance and load testing that’s easy to use, delivered on-demand, and enables you to find and fix problems before they impact customers
Who Should Watch: Line of Business and eCommerce Managers, Interactive Marketing, Brand Managers, Project Managers and IT Operations Executives.
Industry Perspective: DevOps - What it Means for the Average BusinessMichael Elder
This document discusses how DevOps and software defined environments can help average businesses accelerate product and service innovation. It describes the challenges traditional development and operations teams face in keeping up with faster release cycles. The document then covers DevOps as a journey involving people, processes, and technology to improve communication between teams and provide continuous delivery. Software defined environments help manage risk by treating infrastructure changes like application changes through automation.
This document discusses concepts of quality as it relates to software engineering. It defines quality as conformance to requirements and fitness for use. Quality management aims to produce software that meets customer needs, performs accurately and reliably, and provides value to users. It involves establishing an effective software process, producing a useful product, and adding measurable value for both producers and users. The document discusses various frameworks for understanding the attributes and dimensions of software quality. It also notes the dilemma of balancing high quality with timely delivery and costs.
Applying DevOps for more reliable Public Sector Software DeliverySanjeev Sharma
Government agencies and contractors must build the competency to deliver software with greater predictability, quality, speed and frequency. The alternative of higher costs and late delivery is no longer acceptable - politically, economically or justifiably. This session will share findings from client experiences and lay out the DevOps approach that is help agencies and their contractors address the challenges inherent in software application delivery.
This document discusses how automation can help reveal technical debt. It explains that technical debt is accumulated to deliver features faster but often goes unpaid. Automation provides a "safety net" to identify debt through continuous integration, code inspection, and trend analysis. Implementing automation unexpectedly uncovered unknown issues and improved understanding of problems like dependencies, testing gaps, and deployment challenges. Both direct and indirect benefits occur at the team and enterprise levels by standardizing processes and providing visibility into issues.
This document provides information about a DevOps workshop that IBM can sponsor for clients. The workshop aims to help clients develop a pragmatic approach to adopting DevOps practices to balance optimization and innovation. The goals are to understand business and IT goals for DevOps, identify gaps in DevOps capabilities, and create a prioritized roadmap for adoption. The workshop would involve executives, developers, and operations staff and last 6-7 hours, with follow-up presentations of results and recommendations. IBM also offers related workshops focused on transformation using Bluemix and best practices.
The quality assurance checklist for progressive testingMaitrikpaida
Quality assurance (QA) is a strategic way of preventing mistakes and defects in developed products and avoiding problems when delivering products or services to customers. This defect prevention in quality assurance differs subtly from defect detection and rejection in quality control and has been referred to as a shift left since it focuses on quality earlier in the process
The Quality Assurance Checklist for Progressive TestingCygnet Infotech
This document discusses quality assurance testing for progressive applications. It defines quality assurance as preventing defects through early testing. Progressive testing tests application modules incrementally in a top-down, bottom-up, or hybrid approach. A quality assurance checklist should include unit, regression, performance, security, and installation testing to validate the application and ensure long-term functionality. Comprehensive testing provides benefits like reduced costs, improved customer satisfaction, and increased profits.
How to Build a Strategic Transformation PracticeJames Woolwine
The document discusses several process improvement frameworks and methodologies:
- CMMI provides maturity levels to guide process improvement for product development, services, and acquisition. It originated for software but has been generalized.
- Lean focuses on eliminating waste in manufacturing and production. Principles include reducing overburden and uneven workloads.
- Lean Engineering aims to increase engineering efficiency by reducing waste, while Lean Manufacturing focuses more on inventory control and production processes.
- ITIL provides best practices for IT service management and underpins the ISO 20000 standard, though there are some differences between the frameworks. ITIL was influenced by Deming's process model view of operations management.
CTD for client signoff and early requirements validation - 11th IEEE SW Eng...Saritha Route
This is the abstract published in the IEEE S/W Engineering Conference proceedings in the industry experience sharing section of the Intl Workshop on Combinatorial Testing. We share the experience and serendipitous findings of how CT can be used for early requirements validation.
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Similar to Kerim Cakmak, Moshe Cohen -- Continuous Verification and Validation (20)
1. Engineering aims to improve the physical world for the better according to various definitions of better, such as ethics, technoevolutionary improvement, or minimizing unpleasant surprises.
2. Contemporary systems engineering teaches state-of-the-art (SoTA) practices, including continuous software engineering, cyber-physical systems engineering, and enterprise engineering, generalized for all types of systems.
3. There have been three generations of systems approaches since the 1940s, moving from viewing the system in its environment to recognizing that systems are created by other systems through engineering practices to seeing systems as techno-organisms that evolve through technoevolutionary processes.
Слайды лекции по современной методологии в составе интеллект-стека как идущей на смену праксиологии, на базе которой были сделаны наработки австрийской школы экономики.
Доклад А.Левенчука "SysArchi -- системное моделирование в ArchiMate 3.0" на семинаре "Дни инженерии организаций" факультета информатики, математики и компьютерных наук НИУ ВШЭ. Москва-Нижний Новгород, 11 сентября 2018
The document discusses the future of engineering and how various technologies will impact the field. It predicts that engineering will become more multi-disciplinary, involve less human workers and more automation through tools like AI and machine learning. Specific technologies like GPUs and neural networks will allow extremely powerful yet small supercomputers to be used for engineering tasks. Overall, the boundaries between software, machine learning and different engineering disciplines will blur as these fields converge and new approaches like "learning not programming" become more common.
Доклад А.Левенчука "Системное мышление за пределами инженерии и менеджмента. Пример: системный фитнес" на конференции "Системный менеджмент" Школы системного менеджмента и Русского отделения INCOSE, 16 апреля 2017г.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Reality is that the definition of Quality is changing… low tolerance for inadequate quality, and even Tesla is now delivering updates over the air.To deliver quality, we need to take a holistic approach to Quality, where we continuously verify and validate our designs, throughout the whole development life cycle, and not just at the right side of the V, or even worse – at the top right side of the V.I will show you how to do it, so that you will be more predictable in your delivery schedule, you’ll deliver the right system and at a lower cost of quality. I must here that when I talk about Defect, I mean it in the ISO 9000 sense, which is non-fulfillment of intended usage requirements. It is being used in the general sense, covering product defect, design defect, manufacturing defect, an error, a fault or a failure.
Let’s look at the agenda.By now, you already know that you need to take a holistic approach to Quality. We will take a quick look at some recent examples of inadequate quality, talk about Cont V&V… then key capabilities that are needed to deploy it successfully, and then we will take a closer look at how the Rational Systems and Software Eng solution supports Cont V&V.Let’s look at some examples.
Bad quality can turn into penalties. In the government determines that the test failed due to quality issues at Raytheon, that could result in major financial consequences to Raytheon. Wall street is watching.Reminds me of a meeting with another contractor, a missile test failed and they were supposed to pay heavy penalties. Like here.The contractor was able to demonstrate full traceability from Requirements to Test plans to Test Cases, very detailed. Therefore they could analyze all their tests, back to Requirements, only to find that the DoD executed a test that was outside the tolerances that were specified in the Requirements. And indeed – the Test failed – as it should have!In this case, Traceability, and being able to demonstrate it, saved this contractor a lot of money, including not being at risk of loosing future projects awards.We never expected this to be a value prop, but to this contractor, this was a major one!
Bad quality hurts your stock valuation. Like in the serial Sony recalls. The Prius gas pedal costs Toyota $3B, only a third was for repair cost, 2/3rds were business related.And we start to see different corporate behaviors… GM is trying to pass on cost of recalls to their suppliers. Remains to be seen how suppliers will respond…
So, what’s a good quality?While there are many definitions to Quality, the common aspects to most of them is meeting or exceeding customers and end users needs and expectations. Look at the mp3 players… all met the specs… non is around today….And end users keep changing!
Let’s look at the agenda.By now, you already know that you need to take a holistic approach to Quality. We will take a quick look at some recent examples of inadequate quality, talk about Cont V&V… then key capabilities that are needed to deploy it successfully, and then we will take a closer look at how the Rational Systems and Software Eng solution supports Cont V&V.Let’s look at some examples.
Process quality assurance (automotive spice or CMMI) Processes are written according to some process framework. Does our product development lifecycle complies with these processes Cycling computer. Desinged for cyclers. Customer: Garmin, focused specifically on distance, pace, time. What about people doing cycling for loosing weight? Calories?
Types of Verification: Analysis,inspection, review, test, demo, COC (Certification of Conformance, Compliance)
Testing code that will eventually reside in a black box without the actual hardware is called Software-in-the-Loop (SIL). Installing software in an actual device and testing that device in a virtual environment is called Hardware-in-the-Loop (HIL). If human interaction is desired or required, the test also includes a Man-in-the-Loop (MIL) component.
Let’s look at the agenda.By now, you already know that you need to take a holistic approach to Quality. We will take a quick look at some recent examples of inadequate quality, talk about Cont V&V… then key capabilities that are needed to deploy it successfully, and then we will take a closer look at how the Rational Systems and Software Eng solution supports Cont V&V.Let’s look at some examples.
Food and Drug Administration
Let’s look at the agenda.By now, you already know that you need to take a holistic approach to Quality. We will take a quick look at some recent examples of inadequate quality, talk about Cont V&V… then key capabilities that are needed to deploy it successfully, and then we will take a closer look at how the Rational Systems and Software Eng solution supports Cont V&V.Let’s look at some examples.
End users needs, at least initially, are never precise or complete, therefore we need to help the end user to flash them out. Like if you were to build a new home, would you know up front the exact size of the home and how many rooms you need? No… but the architect will help you figure this out. Same here.As you go down the V, you will continuously do both Verification and Validation. Verification is where you verify that you are building the system right. Like the builder checking with the architect, or the city doing inspections that you build to code.But you will also do continuous Validation…. Not wait to the end, like the builder and/or the architect coming back to you to check with you as they make more decisions on your dream home.