This presentation focuses on the basics of Performance Requirements gathering. It address the basic concepts and talks about the process one could follow when dealing with Performance Requirements gathering across the development life cycle.
This presentation focuses on the importance of Proactive Performance Management and how one could implement Proactive Performance Management approaches on their programs.
This article focuses on the basics of Workload Modelling from an SPE (Systems Performance Engineering) Standpoint across the delivery cycle. It touches upon the definitions, processes including activities involved.
Primer on application_performance_modelling_v0.1Trevor Warren
This presentation focuses on the basics of Performance Modelling with the objective of forecasting to manage performance of systems including their underlying infrastructure capacity.
This presentation focuses on the basics of Performance Engineering and touches upon relevant aspects of SPE or Systems Performance Engineering across the development, implementation and support cycle.
Mistakes we make_and_howto_avoid_them_v0.12Trevor Warren
This document discusses best practices for performance engineering. It provides tips for several aspects of the development process including defining non-functional requirements, performance testing, monitoring systems after launch, and capacity management. Key recommendations include focusing on the customer, tying performance to business outcomes, using industry standards when possible, and testing in an environment similar to production to avoid risks.
Primer on enterprise_performance_maturity_v0.2Trevor Warren
This presentation focuses on the concepts around Enterprise Performance Maturity, Costs of addressing performance maturity including how to go about building performance maturity across the enterprise.
Primer on application_performance_testing_v0.2Trevor Warren
This presentation focuses on the basics of Performance Testing. It talks about the processes, challenges and activities involved with Performance Testing.
This presentation focuses on the importance of Proactive Performance Management and how one could implement Proactive Performance Management approaches on their programs.
This article focuses on the basics of Workload Modelling from an SPE (Systems Performance Engineering) Standpoint across the delivery cycle. It touches upon the definitions, processes including activities involved.
Primer on application_performance_modelling_v0.1Trevor Warren
This presentation focuses on the basics of Performance Modelling with the objective of forecasting to manage performance of systems including their underlying infrastructure capacity.
This presentation focuses on the basics of Performance Engineering and touches upon relevant aspects of SPE or Systems Performance Engineering across the development, implementation and support cycle.
Mistakes we make_and_howto_avoid_them_v0.12Trevor Warren
This document discusses best practices for performance engineering. It provides tips for several aspects of the development process including defining non-functional requirements, performance testing, monitoring systems after launch, and capacity management. Key recommendations include focusing on the customer, tying performance to business outcomes, using industry standards when possible, and testing in an environment similar to production to avoid risks.
Primer on enterprise_performance_maturity_v0.2Trevor Warren
This presentation focuses on the concepts around Enterprise Performance Maturity, Costs of addressing performance maturity including how to go about building performance maturity across the enterprise.
Primer on application_performance_testing_v0.2Trevor Warren
This presentation focuses on the basics of Performance Testing. It talks about the processes, challenges and activities involved with Performance Testing.
The document discusses requirements for developing a new product. It defines requirements as things that must be discovered before building a product. There are functional requirements that specify what the product must do and non-functional requirements that specify qualities the product must have. Both types of requirements are important to gather from stakeholders to ensure the final product meets user needs. Requirements include things the product must do, qualities it must have, constraints, and other details to guide the product development process.
Tool Kit: Requirements management plan (babok on a page)designer DATA
Methodology is a tool kit not a process – Choose wisely. Methodologies contain many tools and techniques, such as, process, data , use case and class modelling, sequence diagramming and state transition diagramming, prototyping and report templates. Not all these tools have to be used for every project.
So choose wisely and create your own fast path routes for completing different types of projects by preparing your own Business Analysis Project Planning Map. Build on your experiences and fine tune your product each time you undertake a new assignment.
http://www.tdan.com/view-articles/6089
The document discusses the importance of requirements engineering in software development. It states that incomplete or changing requirements are major causes of cost overruns in projects. Proper requirements analysis can help reduce errors and save significant costs compared to later fixes. Challenges include insufficient time, review, and technical knowledge as well as political and communication issues. The key is to fully understand user needs, write clear specifications, and manage requirements throughout the project lifecycle.
The document discusses the requirement analysis process which involves 5 steps: gathering requirements, developing service metrics, characterizing behavior, developing requirements, and mapping requirements. It describes gathering requirements from users, determining initial network conditions, developing metrics like capacity and availability, modeling user and application behavior, and mapping location information. Requirements are tracked and managed in documents or databases and updated periodically.
Other requirements, requirement specification and mapcsk selva
The document discusses requirements for network design and engineering. It outlines three key characteristics that reflect a customer's needs: operational suitability, supportability, and confidence. Operational suitability measures how well a network can be configured and monitored by customers. Supportability measures how well a network can be maintained over its lifetime. Confidence measures a network's ability to deliver data without errors or losses. The document also discusses financial requirements, enterprise requirements, and the process of gathering and documenting network requirements from various sources.
This document provides a summary of business requirements for a new project. It includes sections on current and proposed business processes, information flows, security, performance, and availability requirements. It also outlines the system requirements, technical infrastructure needs, and questions to help understand environment needs. Dependencies, diagrams, and requirements traceability matrix are referenced. The document aims to define the needs of the new system from a business and technical perspective to guide the project.
Concepts Of business analyst Practices - Part 1Moutasm Tamimi
The document defines various concepts related to business analysis including agile methodology, business analysis, business analyst role, requirements elicitation techniques, and system development lifecycles. It provides definitions for agile, business analysis, business analyst, requirements documents, feasibility studies, use cases, prototypes, and more. It also outlines the roles of project teams including the project owner, business and technical assurance coordinators, and describes techniques like functional decomposition and workflow diagrams. Finally, it introduces the speaker as an independent consultant and instructor on topics like project management, databases, and digital marketing.
The document discusses the importance of properly defining software requirements and the risks of inadequate requirements processes. It outlines three levels of software requirements - business, user, and functional requirements. Between 40-60% of defects can be traced back to errors in the requirements stage. The requirements must be documented and represent the needs of users external to the system. Risks of poor requirements include insufficient user involvement, creeping requirements, and inaccurate planning.
This document discusses requirements for software development. It defines what requirements are and different types of requirements including functional, non-functional, system, and software requirements. It provides examples of different types of requirements and explains how functional requirements specify what a system must do while non-functional requirements specify attributes of the system like performance.
business requirements functional and non functionalCHANDRA KAMAL
The document discusses different types of requirements for a project including business, functional, and non-functional requirements. It provides details on each type of requirement such as how business requirements define the goals and strategies of the project. Functional requirements specify the intended behaviors and interactions of the system. Non-functional requirements describe quality of service factors like performance, security, and interfaces. The document provides templates for documenting each type of requirement with unique identifiers.
The document discusses software requirements analysis. It explains that gathering requirements accurately is important to estimate costs and ensure project success. There are different types of requirements like functional, non-functional, technical etc. Requirements should be clear, complete, verifiable and traceable. The requirements analysis process involves gathering, analyzing, documenting and validating requirements. Various techniques are used for gathering requirements like interviews, surveys, task analysis etc. Issues like unclear stakeholder needs, poor communication and starting development before requirements are clear can impact requirements analysis.
Using Doors® And Taug2® To Support A Simplifiedcbb010
In order to become a market leader, it is imperative that all stakeholders (customers, financial sponsors, developers and testers) be aware of the customer’s needs as captured in the requirements of the products and/or services that are to be produced. This is especially so within both large and small globally distributed companies since the product development organizations often are separated by geography, time and communications. An efficient way to eliminate these potential issues is to develop a common and intuitive requirements management process, which can be deployed across the product development lifecycle. The object of developing a Common Simplified Requirements Management Process is to improve customer satisfaction, eliminate escaping defects and reduce the cost of the development lifecycle. This paper describes the problems of using localised procedures and how these problems can be eliminated by implementing a common requirements management process that is intuitive, scalable and deployed across the System Development Lifecycle. This process has been supported by the industry leading DOORS tool and more recently by the TauG2 tool. An auxiliary benefit of deploying this process is that the process was developed in compliance with standardized methods of documenting and tracing requirements as expected by TL9000 and CMM/CMMI. The net benefits of this simplified requirements process include: increased customer satisfaction due to systems being developed in accordance with the customer’s needs as captured in the requirements, compliance with industry acknowledged process standards and improved cost of quality by eliminating duplication of process maintenance since a common process has been deployed across the development organization.
The document discusses the agile software development methodology of Extreme Programming (XP). It provides an overview of XP, including its values, practices, and roles. It notes that XP focuses on communication, simplicity, feedback, and courage. Key practices include pair programming, user stories, planning games, and frequent small releases. The document also covers challenges and lessons learned with adopting XP.
The document discusses requirements management (RM) best practices. It describes the goals of RM as eliciting stakeholder needs to develop clear requirements and administrating requirements tracking. It then outlines the key stages of RM - planning, elicitation, analysis, development, validation, acceptance, and administration. For each stage, it describes objectives, entry/exit criteria, activities, and techniques used. It emphasizes the importance of RM for reducing costs and defects.
The document discusses the differences between performance testers and performance engineers. Performance testers focus on designing and executing performance test strategies and analyzing results against requirements. Performance engineers focus on code reviews, investigating environments, and providing solutions to resolve performance problems. The document also discusses software performance engineering (SPE) as a systematic approach to developing software to meet performance requirements through quantitative analysis techniques applied throughout the development process.
Suresh Veluguri is a Business Analyst with over 5 years of experience in domains such as logistics, manufacturing, and telecom. He has expertise in requirements analysis, test management, and Agile methodologies. Currently working as a Business Analyst for HP on a project with Shell. Previously worked on projects with Vodafone and General Motors. Skilled in ALM tools, Quality Center, and various development methodologies.
The document discusses several software development life cycle (SDLC) models including waterfall, V-shaped, prototyping, rapid application development (RAD), incremental, and spiral models. For each model, it describes the key steps, strengths, weaknesses, and scenarios where the model is best applied. The models range from sequential/linear to iterative/incremental approaches.
This document provides an overview of performance tuning for Java applications. It discusses top-down and bottom-up performance analysis approaches. It also covers choosing the right garbage collector and JVM tuning basics like calculating allocation rates and live data size from GC logs. The document shows examples of tuning JVM settings for latency using CMS and G1 collectors as well as tuning for throughput using ParallelOldGC.
The document discusses requirements for developing a new product. It defines requirements as things that must be discovered before building a product. There are functional requirements that specify what the product must do and non-functional requirements that specify qualities the product must have. Both types of requirements are important to gather from stakeholders to ensure the final product meets user needs. Requirements include things the product must do, qualities it must have, constraints, and other details to guide the product development process.
Tool Kit: Requirements management plan (babok on a page)designer DATA
Methodology is a tool kit not a process – Choose wisely. Methodologies contain many tools and techniques, such as, process, data , use case and class modelling, sequence diagramming and state transition diagramming, prototyping and report templates. Not all these tools have to be used for every project.
So choose wisely and create your own fast path routes for completing different types of projects by preparing your own Business Analysis Project Planning Map. Build on your experiences and fine tune your product each time you undertake a new assignment.
http://www.tdan.com/view-articles/6089
The document discusses the importance of requirements engineering in software development. It states that incomplete or changing requirements are major causes of cost overruns in projects. Proper requirements analysis can help reduce errors and save significant costs compared to later fixes. Challenges include insufficient time, review, and technical knowledge as well as political and communication issues. The key is to fully understand user needs, write clear specifications, and manage requirements throughout the project lifecycle.
The document discusses the requirement analysis process which involves 5 steps: gathering requirements, developing service metrics, characterizing behavior, developing requirements, and mapping requirements. It describes gathering requirements from users, determining initial network conditions, developing metrics like capacity and availability, modeling user and application behavior, and mapping location information. Requirements are tracked and managed in documents or databases and updated periodically.
Other requirements, requirement specification and mapcsk selva
The document discusses requirements for network design and engineering. It outlines three key characteristics that reflect a customer's needs: operational suitability, supportability, and confidence. Operational suitability measures how well a network can be configured and monitored by customers. Supportability measures how well a network can be maintained over its lifetime. Confidence measures a network's ability to deliver data without errors or losses. The document also discusses financial requirements, enterprise requirements, and the process of gathering and documenting network requirements from various sources.
This document provides a summary of business requirements for a new project. It includes sections on current and proposed business processes, information flows, security, performance, and availability requirements. It also outlines the system requirements, technical infrastructure needs, and questions to help understand environment needs. Dependencies, diagrams, and requirements traceability matrix are referenced. The document aims to define the needs of the new system from a business and technical perspective to guide the project.
Concepts Of business analyst Practices - Part 1Moutasm Tamimi
The document defines various concepts related to business analysis including agile methodology, business analysis, business analyst role, requirements elicitation techniques, and system development lifecycles. It provides definitions for agile, business analysis, business analyst, requirements documents, feasibility studies, use cases, prototypes, and more. It also outlines the roles of project teams including the project owner, business and technical assurance coordinators, and describes techniques like functional decomposition and workflow diagrams. Finally, it introduces the speaker as an independent consultant and instructor on topics like project management, databases, and digital marketing.
The document discusses the importance of properly defining software requirements and the risks of inadequate requirements processes. It outlines three levels of software requirements - business, user, and functional requirements. Between 40-60% of defects can be traced back to errors in the requirements stage. The requirements must be documented and represent the needs of users external to the system. Risks of poor requirements include insufficient user involvement, creeping requirements, and inaccurate planning.
This document discusses requirements for software development. It defines what requirements are and different types of requirements including functional, non-functional, system, and software requirements. It provides examples of different types of requirements and explains how functional requirements specify what a system must do while non-functional requirements specify attributes of the system like performance.
business requirements functional and non functionalCHANDRA KAMAL
The document discusses different types of requirements for a project including business, functional, and non-functional requirements. It provides details on each type of requirement such as how business requirements define the goals and strategies of the project. Functional requirements specify the intended behaviors and interactions of the system. Non-functional requirements describe quality of service factors like performance, security, and interfaces. The document provides templates for documenting each type of requirement with unique identifiers.
The document discusses software requirements analysis. It explains that gathering requirements accurately is important to estimate costs and ensure project success. There are different types of requirements like functional, non-functional, technical etc. Requirements should be clear, complete, verifiable and traceable. The requirements analysis process involves gathering, analyzing, documenting and validating requirements. Various techniques are used for gathering requirements like interviews, surveys, task analysis etc. Issues like unclear stakeholder needs, poor communication and starting development before requirements are clear can impact requirements analysis.
Using Doors® And Taug2® To Support A Simplifiedcbb010
In order to become a market leader, it is imperative that all stakeholders (customers, financial sponsors, developers and testers) be aware of the customer’s needs as captured in the requirements of the products and/or services that are to be produced. This is especially so within both large and small globally distributed companies since the product development organizations often are separated by geography, time and communications. An efficient way to eliminate these potential issues is to develop a common and intuitive requirements management process, which can be deployed across the product development lifecycle. The object of developing a Common Simplified Requirements Management Process is to improve customer satisfaction, eliminate escaping defects and reduce the cost of the development lifecycle. This paper describes the problems of using localised procedures and how these problems can be eliminated by implementing a common requirements management process that is intuitive, scalable and deployed across the System Development Lifecycle. This process has been supported by the industry leading DOORS tool and more recently by the TauG2 tool. An auxiliary benefit of deploying this process is that the process was developed in compliance with standardized methods of documenting and tracing requirements as expected by TL9000 and CMM/CMMI. The net benefits of this simplified requirements process include: increased customer satisfaction due to systems being developed in accordance with the customer’s needs as captured in the requirements, compliance with industry acknowledged process standards and improved cost of quality by eliminating duplication of process maintenance since a common process has been deployed across the development organization.
The document discusses the agile software development methodology of Extreme Programming (XP). It provides an overview of XP, including its values, practices, and roles. It notes that XP focuses on communication, simplicity, feedback, and courage. Key practices include pair programming, user stories, planning games, and frequent small releases. The document also covers challenges and lessons learned with adopting XP.
The document discusses requirements management (RM) best practices. It describes the goals of RM as eliciting stakeholder needs to develop clear requirements and administrating requirements tracking. It then outlines the key stages of RM - planning, elicitation, analysis, development, validation, acceptance, and administration. For each stage, it describes objectives, entry/exit criteria, activities, and techniques used. It emphasizes the importance of RM for reducing costs and defects.
The document discusses the differences between performance testers and performance engineers. Performance testers focus on designing and executing performance test strategies and analyzing results against requirements. Performance engineers focus on code reviews, investigating environments, and providing solutions to resolve performance problems. The document also discusses software performance engineering (SPE) as a systematic approach to developing software to meet performance requirements through quantitative analysis techniques applied throughout the development process.
Suresh Veluguri is a Business Analyst with over 5 years of experience in domains such as logistics, manufacturing, and telecom. He has expertise in requirements analysis, test management, and Agile methodologies. Currently working as a Business Analyst for HP on a project with Shell. Previously worked on projects with Vodafone and General Motors. Skilled in ALM tools, Quality Center, and various development methodologies.
The document discusses several software development life cycle (SDLC) models including waterfall, V-shaped, prototyping, rapid application development (RAD), incremental, and spiral models. For each model, it describes the key steps, strengths, weaknesses, and scenarios where the model is best applied. The models range from sequential/linear to iterative/incremental approaches.
This document provides an overview of performance tuning for Java applications. It discusses top-down and bottom-up performance analysis approaches. It also covers choosing the right garbage collector and JVM tuning basics like calculating allocation rates and live data size from GC logs. The document shows examples of tuning JVM settings for latency using CMS and G1 collectors as well as tuning for throughput using ParallelOldGC.
Java performance is still a burning issue and this presentation will try to answer frequently asked questions related to tuning the JVM: How to approach a problem and what tools to use? Which flags should be changed and which ones should be avoided? What news brought Java 8, and what we can expect from the upcoming Java 9?
Ideal web page performance
How to maximize your content view with minimal attention span of your viewers?
Impact of page performance on Business metrics
Profiling a Http request
Browser Architecture, Critical Rendering Path
Applying FFSUx to get optimal webpage performance.
The document discusses performance monitoring of Java applications. It defines performance monitoring as the non-intrusive collection of performance data from a running application to identify potential issues. It also defines performance profiling as a more intrusive collection of performance data, typically done for reactive troubleshooting. The document recommends monitoring key metrics like throughput, response time and footprint, and outlines some common Java performance monitoring tools like JConsole and JVisualVM.
The document provides an overview of load testing using NeoLoad. It discusses why load testing is important, the differences between functional and load testing, and the main components of NeoLoad including scripting, execution, analysis and monitoring. It then describes the basic process of creating a NeoLoad test including recording a scenario to create a virtual user, setting the population size and scenario, running the test, and analyzing results on things like response times, errors and graphs. Communication between NeoLoad and the server is agentless using push technology.
The document discusses different approaches to profiling Java applications, including source code instrumentation, the Java Platform Debugger Architecture (JPDA), bytecode instrumentation, and Java Management Extensions (JMX). It describes the key components and interfaces of JPDA, including JVMTI, JDWP, and JDI, and how they facilitate communication between the debuggee VM and debugger front-end. It also provides examples of configuring and using JPDA for profiling and debugging Java applications.
This document discusses various tools for diagnosing and monitoring applications running on the Java Virtual Machine (JVM). It begins with an overview of demo tools like jps, jcmd, jstat, and Java Mission Control. It then discusses internals of how these tools access a running JVM through mechanisms like JMX, attaching to processes, and the jvmstat performance data file. The document concludes with a discussion of future improvements including more diagnostic commands, JMX enhancements, improved JVM logging, and removing older tools.
Neotys certification certifies that Harish Srivastava successfully completed the requirements to become a NeoLoad Public Training 4.1 on July 25, 2013. The certification is signed by Thibaud Bussière, President of Neotys, and Bruno Duval, Vice President of Professional Services at Neotys.
When performance hits rock-bottom everybody (and their dog) is called upon and all of a sudden developers should have been responsible for last half a year or so and code with performance in mind (and deadlines, but that of course goes unsaid). So, here I'm talking about what can a dev do to meet those unreasonable demands) and what might he do anticipating them.
Strictly JVM, mostly Sun Hotspot impl, but number of points can be used to other JVMs as wel
This document provides tips and strategies for optimizing Java application performance through software tuning techniques. It discusses identifying and addressing bottlenecks, avoiding unnecessary object creation, using string pooling and interned strings efficiently, leveraging profilers to analyze performance issues, and optimizing loops and exception handling. The key strategies outlined are to reduce object creation, reuse objects when possible, compare strings effectively, and eliminate unnecessary method calls in loops.
Performance Requirements: the Backbone of the Performance Engineering ProcessAlexander Podelko
Performance requirements should to be tracked from system's inception through its whole lifecycle including design, development, testing, operations, and maintenance. They are the backbone of the performance engineering process. However different groups of people are involved in each stage and they use their own vision, terminology, metrics, and tools that makes the subject confusing when you go into details. The presentation discusses existing issues and approaches in their relationship with the performance engineering process.
What to do in case in which an application does not provide the desired performance? If you have ever had problems with optimizing the performance of Java applications, surely you had to invest a solid amount of time to find out the real cause for the problems, which included the involvement of administrators and developers. Is there a way to shorten the time required to find a solution, what free tools are available for this purpose and to check that you have finally solved the problem? In this presentation, we will try to provide answers to these questions with concrete real life examples.
This document provides an overview of bio big data and related technologies. It discusses what big data is and why bio big data is necessary given the large size of genomic data sets. It then outlines and describes Hadoop, Spark, machine learning, and streaming in the context of bio big data. For Hadoop, it explains HDFS, MapReduce, and the Hadoop ecosystem. For Spark, it covers RDDs, Spark SQL, MLlib, and Spark Streaming. The document is intended as an introduction to key concepts and tools for working with large biological data sets.
Managed runtime performance expert, Monica Beckwith will divulge her survival guide which is essential for any application performance engineer. Following simple rules and performance engineering patterns will make you and your stakeholders happy.
This document discusses the key activities involved in incepting an enterprise application, including enterprise analysis, business modeling, requirements elicitation and analysis, requirements validation, and planning and estimation. Enterprise analysis involves identifying business opportunities and stakeholders. Business modeling helps understand business processes and includes creating AS-IS and TO-BE models. Requirements elicitation captures functional and non-functional requirements through use cases and prototypes. Requirements validation ensures requirements meet business needs. Planning and estimation prepares project plans and estimates costs and effort based on techniques like use case points and function points.
The document outlines the objectives and key concepts covered in Chapter 14 of the textbook "Accounting Information Systems, 6th edition". The objectives include the in-house development phase of the SDLC, tools used such as CASE and PERT/Gantt charts, structured vs object-oriented design approaches, documentation types, and the commercial software option. It then covers the phases of SDLC in more detail including in-house development, commercial packages, and maintenance. Design approaches like structured and object-oriented are defined. Documentation, testing, training and post-implementation review are discussed as part of system delivery.
This document discusses project planning, feasibility studies, and various factors to consider for IT projects. It covers guidelines for project plans, internal and external factors, components of a project plan, the project development lifecycle including planning, analysis, design, implementation, and support phases. It also discusses assessing the feasibility of projects, including tests of operational, technical, schedule, and economic feasibility. Methods for evaluating feasibility include feasibility matrices and analyses of benefits, costs, payback periods, and net present values. Managing stakeholder expectations is also addressed.
Software Engineering Layered Technology Software Process FrameworkJAINAM KAPADIYA
Software engineering is the application of engineering principles to software development to obtain economical and quality software. It is a layered technology with a focus on quality. The foundation is the software process, which provides a framework of activities. This includes common activities like communication, modeling, planning, construction, and deployment. Additional umbrella activities support the process, such as quality assurance, configuration management, and risk management.
Project management : Causal analysis and Resolution by iFour Technolab Pvt. Ltd.
Causal Analysis and Resolution activities provide a mechanism for projects to evaluate their processes at the local level and look for improvements that can be implemented.
Created by iFour Technolab Pvt. Ltd.
http://www.ifourtechnolab.com
The document provides details for performing a system analysis for a software engineering project. It outlines the following steps:
1. Introduction including purpose, intended audience, project scope.
2. Overall description of the product including perspective, features, user classes, operating environment, and design/implementation constraints.
3. Functional requirements organized by user class/feature including descriptions, conditions, business rules.
4. External interface requirements including user interfaces, hardware interfaces, software interfaces, communications interfaces.
5. System features including reliability, security, performance, supportability, design constraints.
The document specifies requirements for a software engineering project and provides guidance on performing requirement analysis and developing a software requirements specification (SR
This document outlines the key steps in requirement analysis and specification for developing a technical solution:
1) Analyze business requirements by gathering requirements, scope, security, performance, maintainability, availability, and integration needs.
2) Define the technical architecture by identifying appropriate solution types, technologies, and data storage architecture.
3) Develop the conceptual and logical design, including constructing conceptual models, applying modular design principles, and incorporating business rules.
4) Derive the physical design and finalize the product while ensuring requirements for performance, maintainability, security, and other factors are met.
This document summarizes key aspects of quality management and software engineering based on a textbook. It discusses definitions of software quality, types of quality (design and conformance), the costs of quality, software quality assurance techniques like reviews and inspections, roles of a software quality assurance group, metrics for reviews, standards like ISO 9001, change management, software configuration management, and baselines.
This document discusses requirements analysis techniques used to define stakeholder and solution requirements. It describes analyzing stated requirements to define the capabilities needed for a potential solution. Techniques include defining stakeholder needs, prioritizing requirements, organizing requirements into structures, specifying and modeling requirements, defining assumptions and constraints, and verifying requirements. The goal is to validate requirements and ensure the solution will fulfill stakeholder needs.
This document provides a summary of a professional's experience and qualifications. The professional has extensive experience in Agile project management and software development methodologies. They have experience across many industries, including healthcare, financial services, and government. Their skills include Agile/Scrum, requirements gathering, business analysis, project management, and software quality assurance. They have led projects involving app development, system implementations, and regulatory compliance initiatives.
This professional has over 4 years of experience in performance testing and engineering using tools like LoadRunner, NeoLoad, and various APM tools. They have extensive experience performance testing web, UI, web services, and database applications for Dell as both a contractor and employee. This professional is proficient in all phases of the performance testing lifecycle including test planning, scripting, execution, results analysis, and reporting. They also have experience monitoring applications in production and performing root cause analysis of performance issues.
The document describes the Oracle Application Implementation Methodology (AIM), which provides a proven approach for implementing Oracle applications. It outlines 11 processes that make up the methodology: business process architecture, business requirements definition, business requirements mapping, application and technical architecture, module design and build, data conversion, documentation, business system testing, performance testing, adoption and learning, and production migration. Each process contains a number of tasks to guide teams through each implementation phase from planning to post-production support. The methodology helps ensure successful Oracle application rollouts.
This document discusses using BizTalk to support enterprise application integration (EAI) and business activity monitoring (BAM) as strategic assets rather than just cost centers. The objectives are to ensure transaction throughput, scalability, and monitor key performance indicators (KPIs) important to business processes. The next steps outlined are to build a system to support the vision, analyze baseline performance data to identify pain points, and plan short and long-term BizTalk infrastructure upgrades.
The document provides an overview of the Oracle AIM (Application Implementation Methodology) framework. It describes AIM as a methodology for implementing Oracle applications that defines the tasks, order, and resources needed for a project. The document outlines the key phases and processes of an AIM project, including definitions, operations analysis, solution design, build, transition, and production. It also describes the 12 processes that are part of AIM, such as project management, business requirements definition, and module design and build.
This document discusses requirements engineering and its key processes. It describes how requirements engineering involves eliciting requirements through activities like interviews and prototyping. It also involves analyzing requirements by documenting them, resolving conflicts between stakeholder needs, and validating requirements. The document stresses the importance of requirements engineering in defining a system's functionality and ensuring project success.
This is short review of project matrices. This short lecture provides an overview that how software project matrices help software project manager to make accurate estimates.
This report from DCG Software Value discusses whether or not function points are still relevant in the IT world, given all the innovative changes and processes that have occurred.
Download this report here: http://ow.ly/108Vrw
This report from DCG Software Value discusses whether or not function points are still relevant in the IT world, given all the innovative changes and processes that have occurred.
A good test engineer has qualities like finding problems, paying attention to detail, communicating well, and understanding development. For QA engineers, these qualities are also important along with understanding the whole development process. QA/test managers should maintain team morale, promote cooperation, withstand pressures, and communicate with technical and non-technical people. Documentation, requirements, test plans, cases, and configuration management are critical parts of QA. Risk analysis helps determine testing focus when time is limited or requirements are changing.
Similar to Primer on performance_requirements_gathering_v0.3 (20)
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.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
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!
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
1. Fundamentals of Performance Requirements Gathering
Practical Performance Analyst – 30th June 2012
http://www.practicalperformanceanalyst.com
2. Agenda
Performance Engineering Life Cycle
What is Proactive Performance Management
What is Performance Requirements Gathering
Metrics for Non Functional Requirements
Why is Performance Requirements Gathering Important
Process for Performance Requirements Gathering
Challenges involved in Performance Requirements Gathering
Deliverables for the Performance Requirements Gathering process
Resources & tools for Performance Requirements Gathering
3. Performance Engineering Life Cycle
Software Development Life Cycle
Functional Requirements Gathering
Architecture & Design
Build Application
System Test,
System Integrated Test & UAT
Deploy Into Production
Performance Engineering Life Cycle
Non Functional Requirements Gathering
Design for Performance &
Performance Modelling
Unit Performance Test &
Code Optimization
Performance Test
Monitoring & Capacity Management
5. What Is Performance Requirements Gathering
Performance Requirements gathering process is a process whose objective is to determine all the relevant Non Functional Requirements for the given application
Non Functional Requirements for an application would ideally include Security, Reliability, Availability or Failover Capability, Maintainability, Usability, etc. However as a Practical Performance Analyst your focus is mainly around Performance & Scalability of the application and underlying application infrastructure
Performance Requirements Gathering is conducted at the Functional Requirements Gathering stage with focus on determining the Performance & Scalability relevant Non Functional Requirements for the application
Non Functional Requirements would vary based on the nature of your application and would differ based on the nature of workload your application has to process
Non Functional Requirements from a Performance perspective would include metrics like User Concurrency, Transactional Throughput Per Hour, Volume of data processed by Batch job, Messaging workload Per Hour, etc.
As an outcome of this phase you should have documented and signed of Non Functional Requirements and Business Workload that would form the basis for your Performance Testing Strategy
The Non Functional Requirements would also serve as input to defining targets for your developers
As an outcome to the Performance Requirements Gathering Phase you should have the following documents nailed down-
Application Non Functional Requirements
Performance Testing Workload
6. Metrics for Non Functional Requirements
Online Transaction Processing
User Concurrency
Transactional Throughput
Infrastructure Utilization (CPU Utilization, Memory Utilization)
Batch
Duration of Batch run
Volume of data processed
Number of records processed
Infrastructure Utilization (CPU Utilization, Memory Utilization)
Messaging
Number of messages processed
Size of messages for different message types
Infrastructure Utilization (CPU Utilization, Memory Utilization)
Workflow
Number of messages processed
Size of messages for different message types
Infrastructure Utilization (CPU Utilization, Memory Utilization)
7. Why Is Performance Requirements Gathering Important
Performance Requirements Gathering is important for the following reasons –
Document Non Functional Requirements (Performance & Scalability) for the application
Agree with the IT & Business stake holders on the overall Non Functional Requirements that the application would have to meet
Document the overall Workload for purposes of Performance Test
Base Performance Targets for Developers based on the documented Non Functional Requirements
Provide input to the Application Design teams on the Performance & Scalability requirements for the solution
Provide input to the Infrastructure Design teams on the Performance & Scalability requirements for the underlying infrastructure
Set the expectations for the different IT & Business stakeholders from a Performance & Scalability standpoint
Provide input on the infrastructure capacity required to meet documented Non Functional Requirements
Recommend tooling (Performance Testing, Performance Modelling, Performance Monitoring, Capacity Management, etc.) requirements based on an a good understanding of the application workload and the agreed Non Functional Requirements
8. Performance Requirements Gathering Process
Understand Business Objectives & Program Goals
Review Business Requirements Document
Data Gathering
Review & Extract Production Performance Metrics where possible
Analyse and Visualize data obtained from Production for purposes of workload analysis
Understand Business Goals & Objectives
Understand Application & Infrastructure Platform Architecture
Understand Tooling Landscape (Monitoring, Testing, Diagnostics, etc.)
Define Overall Non Functional Requirements
Determine Tier wise Non Functional Requirements
Recommend Tooling strategy (Monitoring, Diagnostics, Testing, etc.)
Document Development Standards and Developer Performance Objectives
9. Challenges involved in Performance Requirement Gathering
Challenges finding the right business and IT stakeholders
Lack of understanding of Performance Engineering and the value it delivers across the Software Development Life Cycle
Lack of production metrics for business and infrastructure workload
Lack of access to the production systems to extract relevant business & infrastructure workload metrics
Lack of Industry standard tools to analyse, model and visualize data for purposes of defining Non Functional Requirements
Lack of Capable Resources to assist with data extraction, visualization and analysis
10. Deliverables – Performance Requirements Gathering
Non Functional Requirements Document
Workload for Performance Testing
Workload for Capacity Management
Recommendations for Infrastructure Capacity (Input to Capacity Plans)
Recommendations to the Application Design & Architecture teams
Recommendations to the Infrastructure Design & Architecture teams
Recommendations on investment in tooling & tool licenses (Performance Modelling, Performance Testing, Performance Monitoring, Capacity Management, etc.)
11. Resources & Tools
Section on Architecture & Design Engineering at the Practical Performance Analyst by Dr. Rajesh Mansharamani - http://practicalperformanceanalyst.com/site/node/28
CMG Paper on Performance Requirements Analysis - http://www.cmg.org/measureit/issues/mit23/m_23_2.html
12. Thank You
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trevor@practicalperformanceanalyst.com