Software architecture quality attributes & Trade-offs
Download as PPTX, PDF9 likes3,305 views
This presentation describe the importance of trade-off between software architecture quality attribute (NFR). Explain about Performance, Security, Availability and Scalability in depth and other in briefly. Presented on tech talk @ DFN Technology.
1 of 11
Downloaded 79 times
Ad
Recommended
Quality Attributes In Software Architecture & Design Patterns
Quality Attributes In Software Architecture & Design PatternsGatte Ravindranath Quality Attributes Topic from Software Architecture $ Design patterns in the relation to software product or any engineering architecture development process needs required by an architect.
Software Architecture Patterns
Software Architecture PatternsAssaf Gannon This slideshow walks through common and popular Architectural design patterns such as Data-Driven Architecture, Micro-Services, Layered Architecture, and Micro-Kernel Architecture. I also go over the pros and cons and in which scenario each architecture is preferable
Software Development Life Cycle (SDLC)
Software Development Life Cycle (SDLC)Angelin R The document discusses different software development life cycle (SDLC) models including waterfall, spiral/iterative, and agile. It provides an overview of each model's phases and when they are best applied. The waterfall model follows sequential phases from requirements to maintenance. The spiral model is risk-driven and iterative. The agile model emphasizes speed, reduced documentation, and frequent customer feedback through shorter development cycles. SDLC models provide structure, standard processes and deliverables to software development projects.
Software Engineering (Software Process: A Generic View)
Software Engineering (Software Process: A Generic View)ShudipPal This document provides an overview of software processes and engineering. It defines a software process as a series of predictable steps that lead to a timely, high-quality product. The document then discusses the generic process framework activities of communication, planning, modeling, construction, and deployment. It also covers umbrella activities like project management, reviews, and quality assurance that span the entire software process. Finally, it introduces the Capability Maturity Model Integration for assessing software processes and describes its five maturity levels from initial to optimized.
Software Project Management
Software Project ManagementNoorHameed6 This Presentation will describe you,
01. What is software project management
02. The Role of Software Project Manager
03. Risk Management
04. People Management
not only these point you will have with example.
Software metrics
Software metricsDr. C.V. Suresh Babu The document discusses various software metrics that can be used to measure attributes of software products and processes. It describes metrics for size (e.g. lines of code), complexity (e.g. cyclomatic complexity), quality (e.g. defects per KLOC), design (e.g. coupling and cohesion), and object-oriented software (e.g. weighted methods per class). The goals of metrics include estimating costs, evaluating quality, and improving processes and products.
Software Engineering (Project Scheduling)
Software Engineering (Project Scheduling)ShudipPal This document discusses project scheduling for software engineering projects. It covers key topics such as:
- The importance of scheduling for establishing a roadmap and tracking progress on large, complex software projects.
- Basic principles of software project scheduling including compartmentalizing work, indicating interdependencies, allocating time and resources, and assigning responsibilities.
- Methods for defining tasks, networks, and timelines to plan and track schedules.
- Techniques for monitoring schedule performance such as status meetings, milestone tracking, and earned value analysis.
- Factors that influence schedules such as risks, changing requirements, estimates, and technical difficulties.
Software reliability
Software reliabilityAnand Kumar The document discusses software reliability and reliability growth models. It defines software reliability and differentiates it from hardware reliability. It also describes some commonly used software reliability growth models like Musa's basic and logarithmic models. These models make assumptions about fault removal over time to predict how failure rates will change as testing progresses. The key challenges with models are uncertainty and accurately estimating their parameters.
TESTING STRATEGY.ppt
TESTING STRATEGY.pptFawazHussain4 These slides summarize key concepts about software testing strategies from the book "Software Engineering: A Practitioner's Approach". The slides cover topics such as unit testing, integration testing, regression testing, object-oriented testing, and debugging. The overall strategic approach to testing outlined in the slides is to begin with "testing in the small" at the component level and work outward toward integrated system testing. Different testing techniques are appropriate at different stages of development.
Quality attributes in software architecture
Quality attributes in software architectureHimanshu The document discusses software quality attributes and how they relate to software architecture. It defines quality attributes as factors that affect runtime behavior, system design, and user experience. It outlines common quality attributes including design qualities, runtime qualities, system qualities, and more. For each category, it provides examples of specific attributes like reliability, performance, usability, and maintainability. It includes diagrams to illustrate how quality attributes are defined in scenarios and how they can be measured. The document aims to explain how architecture should support and enable achieving various quality goals.
Software Quality Assurance 
Software Quality Assurance ShashankBajpai24 The document discusses software quality assurance. It defines SQA as using planned and systematic methods to evaluate software quality, standards, processes, and procedures. This ensures development follows standards and procedures through continuous monitoring, product evaluation, and audits. SQA activities include product evaluation and monitoring to ensure adherence to development plans, as well as product audits to thoroughly review products, processes, and documentation against established standards. Software reviews are used to uncover errors and defects during development in order to "purify" software requirements, design, code, and testing data before release.
Software requirement and specification
Software requirement and specificationAman Adhikari The document discusses software requirements and specifications. It explains that requirements engineering is the process of establishing customer requirements for a system. Requirements can range from high-level abstract statements to detailed functional specifications. Both types of statements may be called requirements. The document also discusses different types of requirements like user requirements, system requirements, functional requirements, and non-functional requirements. It provides examples and explanations of each. The structure and intended users of a requirements document are also covered.
Software architecture Unit 1 notes
Software architecture Unit 1 notesSudarshan Dhondaley The document discusses software architecture, where it comes from, and what it is. Architectures are influenced by system stakeholders and their requirements, the developing organization, and the architects' experience. An architecture defines elements, their relationships, and properties. It is important because it represents early design decisions, dictates implementation, organizational structure, and quality attributes. Architectural patterns, reference models, and reference architectures capture common architectural elements but are not full architectures themselves.
Cloud migration
Cloud migrationKreesanPillay1 Cloud migration involves moving data, applications, and other business elements from an organization's on-premises servers to the cloud. There are different approaches to cloud migration such as shallow integration which moves applications to the cloud without changes, deep integration which modifies applications to use cloud capabilities, refactoring applications to optimize them for the cloud, and retiring old applications in favor of SaaS solutions. Successful cloud migration requires planning such as assessing what to migrate, choosing cloud providers and environments, determining architecture, selecting providers, planning the migration process, and reviewing after migration. While cloud migration provides benefits, it also carries risks such as complex architectures not working correctly in the cloud, loss of control over data, and increased latency.
Chapter 15 software product metrics
Chapter 15 software product metricsSHREEHARI WADAWADAGI This ppt covers the following topics
Software quality
A framework for product metrics
A product metrics taxonomy
Metrics for the analysis model
Metrics for the design model
Metrics for maintenance
Cost of software quality ( software quality assurance )
Cost of software quality ( software quality assurance )Kiran Hanjar Gives an information about various factors which accounts for Software cost and necessary steps to avoid unwanted steps which creates more overheads
SDLC (Software development life Cycle)
SDLC (Software development life Cycle)PrithvirajChauhan61 The document provides an overview of the Software Development Lifecycle (SDLC) process. It describes the typical phases of SDLC, including planning, analysis, design, development, testing, deployment, and maintenance. It also discusses different SDLC models like waterfall, V-model, iterative, spiral, agile, and fish models. Each model follows a series of steps to ensure success in the software development process. The document aims to explain the importance of following a structured software development approach using SDLC.
Lecture6 introduction to data streams
Lecture6 introduction to data streamshktripathy There are three main points about data streams and stream processing:
1) A data stream is a continuous, ordered sequence of data items that arrives too rapidly to be stored fully. Common sources include sensors, web traffic, and social media.
2) Data stream management systems process continuous queries over streams in real-time using bounded memory. They provide summaries of historical data rather than storing entire streams.
3) Challenges of stream processing include limited memory, complex continuous queries, and unpredictable data rates and characteristics. Approximate query processing techniques like windows, sampling, and load shedding help address these challenges.
Software Configuration Management
Software Configuration ManagementChandan Chaurasia The document discusses configuration management for software engineering projects. It covers topics such as configuration management planning, change management, version and release management, and the use of CASE tools to support configuration management. Configuration management aims to manage changes to software products and control system evolution through activities like change control, version control, and configuration auditing.
Interface specification
Interface specificationmaliksiddique1 All software systems must operate with existing systems that have already been implemented and installed in an environment.
Software Quality Management
Software Quality ManagementECC International The document discusses key concepts in software quality including:
1) The relationships between software errors, faults, and failures and their causes during development.
2) The importance of software quality and quality assurance objectives like defect prevention and removal.
3) Quality assurance techniques like verification, validation, inspections, testing and standards to evaluate conformance.
4) How quality is managed through metrics, process engineering, and cost controls.
Development and quality plan
Development and quality plannethisip13 The document outlines elements of a development plan and quality assurance plan for a software project. The development plan covers deliverables, interfaces, methodology, standards, milestones, organization, facilities, risks, and costs. The quality assurance plan defines quality goals, review activities, tests, and configuration management. It also discusses classes of development risks like scheduling and requirements, and provides examples of top risks. Finally, it describes a risk management process and potential actions to prevent and resolve risks through prevention, identification, and resolution. The overall objectives are to plan adequately for successful and timely project completion through scheduling, resource allocation, risk resolution, quality activities, and management control.
Analisis iso 25010
Analisis iso 25010Evelyna Saquisili This document presents an overview of ISO quality models ISO/IEC 9126 and ISO/IEC 25010 for software product quality. It discusses the characteristics, sub-characteristics, and measures defined in each model. It also provides examples of how internal, external, and quality in use measures are defined. The document concludes that ISO 25010 differs from 9126 in its relationships between system and software quality and restructures some characteristics and sub-characteristics. It notes next steps involve defining new measures and quality measure elements for the updated characteristics in ISO 25010.
About Nimbus Concept
About Nimbus ConceptNimbus Concept We are an Engineering study devoted to Analyze, Develop, Deploy and Integrate platforms and architectures related to Cloud Computing based on Open Source solutions.
Software Maintenance
Software MaintenanceAmeer Hasan Malik This document discusses software maintenance. It defines software maintenance as modifying software after delivery to correct faults, improve performance, or change attributes. The document then discusses reasons for maintenance like changing requirements or fixing errors. It outlines different maintenance types including corrective, adaptive, perfective and preventive maintenance. The document also examines maintenance models such as quick-fix, iterative enhancement, full-reuse, Boehm's model and Taute's model.
Software quality
Software qualityjagadeesan The document discusses software quality management and outlines five units: introduction to software quality; software quality assurance; quality control and reliability; quality management systems; and quality standards. It defines quality, discusses hierarchical models of quality including those proposed by Boehm and McCall, and explains techniques for improving software quality like metrics, reviews, and standards.
Non functional requirements. do we really care…?
Non functional requirements. do we really care…?OSSCube Non Functional requirements are an essential part of a project’s success, sometimes it becomes less focused area as everyone tries to make project successful in terms of functionality. This recorded webinar uncovers what can happen if Non Functional requirements are not addressed properly. What are the after impacts? You also learn the importance of Non Functional requirement, their identification, implementation and verification.
Ch 7 integrating quality activities in the projectlife cycle
Ch 7 integrating quality activities in the projectlife cycleKittitouch Suteeca The document describes Kittitouch S.'s software engineering course covering various topics:
- Software development methodologies like waterfall, prototyping, spiral, and object-oriented models.
- Factors affecting quality assurance activities and models for quality assurance planning.
- Key software engineering concepts like verification, validation, and qualification.
- A model for evaluating the effectiveness and costs of software quality assurance plans and defect removal activities.
The document includes three revisions by Kittitouch between January and May 2012 with added topics in each revision.
Quality attributes in software architecture
Quality attributes in software architectureGang Tao This document discusses various quality attributes in software architecture including responsiveness, scalability, usability, security, accessibility, serviceability, extensibility, distributability, maintainability, portability, reliability, testability, and compatibility. For each attribute, it provides definitions and considerations for how to achieve that attribute in architecture and design. It also discusses relationships between attributes and references quality models for evaluating software.
How we measure quality of JIRA deployments to Cloud?
How we measure quality of JIRA deployments to Cloud?Stowarzyszenie Jakości Systemów Informatycznych (SJSI) This document discusses measuring quality for JIRA Cloud releases. It begins with principles for metrics, including starting with questions to answer, collecting metrics to drive decisions rather than as an end, and being willing to discard metrics. It then discusses context around JIRA Cloud and challenges in measuring its quality. Specific metrics proposed include number of incidents and support cases per release. The document advocates learning from measurements by focusing on prevention initiatives rather than just root causes. It emphasizes continuous improvement through metrics.
Ad
More Related Content
What's hot (20)
TESTING STRATEGY.ppt
TESTING STRATEGY.pptFawazHussain4 These slides summarize key concepts about software testing strategies from the book "Software Engineering: A Practitioner's Approach". The slides cover topics such as unit testing, integration testing, regression testing, object-oriented testing, and debugging. The overall strategic approach to testing outlined in the slides is to begin with "testing in the small" at the component level and work outward toward integrated system testing. Different testing techniques are appropriate at different stages of development.
Quality attributes in software architecture
Quality attributes in software architectureHimanshu The document discusses software quality attributes and how they relate to software architecture. It defines quality attributes as factors that affect runtime behavior, system design, and user experience. It outlines common quality attributes including design qualities, runtime qualities, system qualities, and more. For each category, it provides examples of specific attributes like reliability, performance, usability, and maintainability. It includes diagrams to illustrate how quality attributes are defined in scenarios and how they can be measured. The document aims to explain how architecture should support and enable achieving various quality goals.
Software Quality Assurance
Software Quality Assurance ShashankBajpai24 The document discusses software quality assurance. It defines SQA as using planned and systematic methods to evaluate software quality, standards, processes, and procedures. This ensures development follows standards and procedures through continuous monitoring, product evaluation, and audits. SQA activities include product evaluation and monitoring to ensure adherence to development plans, as well as product audits to thoroughly review products, processes, and documentation against established standards. Software reviews are used to uncover errors and defects during development in order to "purify" software requirements, design, code, and testing data before release.
Software requirement and specification
Software requirement and specificationAman Adhikari The document discusses software requirements and specifications. It explains that requirements engineering is the process of establishing customer requirements for a system. Requirements can range from high-level abstract statements to detailed functional specifications. Both types of statements may be called requirements. The document also discusses different types of requirements like user requirements, system requirements, functional requirements, and non-functional requirements. It provides examples and explanations of each. The structure and intended users of a requirements document are also covered.
Software architecture Unit 1 notes
Software architecture Unit 1 notesSudarshan Dhondaley The document discusses software architecture, where it comes from, and what it is. Architectures are influenced by system stakeholders and their requirements, the developing organization, and the architects' experience. An architecture defines elements, their relationships, and properties. It is important because it represents early design decisions, dictates implementation, organizational structure, and quality attributes. Architectural patterns, reference models, and reference architectures capture common architectural elements but are not full architectures themselves.
Cloud migration
Cloud migrationKreesanPillay1 Cloud migration involves moving data, applications, and other business elements from an organization's on-premises servers to the cloud. There are different approaches to cloud migration such as shallow integration which moves applications to the cloud without changes, deep integration which modifies applications to use cloud capabilities, refactoring applications to optimize them for the cloud, and retiring old applications in favor of SaaS solutions. Successful cloud migration requires planning such as assessing what to migrate, choosing cloud providers and environments, determining architecture, selecting providers, planning the migration process, and reviewing after migration. While cloud migration provides benefits, it also carries risks such as complex architectures not working correctly in the cloud, loss of control over data, and increased latency.
Chapter 15 software product metrics
Chapter 15 software product metricsSHREEHARI WADAWADAGI This ppt covers the following topics
Software quality
A framework for product metrics
A product metrics taxonomy
Metrics for the analysis model
Metrics for the design model
Metrics for maintenance
Cost of software quality ( software quality assurance )
Cost of software quality ( software quality assurance )Kiran Hanjar Gives an information about various factors which accounts for Software cost and necessary steps to avoid unwanted steps which creates more overheads
SDLC (Software development life Cycle)
SDLC (Software development life Cycle)PrithvirajChauhan61 The document provides an overview of the Software Development Lifecycle (SDLC) process. It describes the typical phases of SDLC, including planning, analysis, design, development, testing, deployment, and maintenance. It also discusses different SDLC models like waterfall, V-model, iterative, spiral, agile, and fish models. Each model follows a series of steps to ensure success in the software development process. The document aims to explain the importance of following a structured software development approach using SDLC.
Lecture6 introduction to data streams
Lecture6 introduction to data streamshktripathy There are three main points about data streams and stream processing:
1) A data stream is a continuous, ordered sequence of data items that arrives too rapidly to be stored fully. Common sources include sensors, web traffic, and social media.
2) Data stream management systems process continuous queries over streams in real-time using bounded memory. They provide summaries of historical data rather than storing entire streams.
3) Challenges of stream processing include limited memory, complex continuous queries, and unpredictable data rates and characteristics. Approximate query processing techniques like windows, sampling, and load shedding help address these challenges.
Software Configuration Management
Software Configuration ManagementChandan Chaurasia The document discusses configuration management for software engineering projects. It covers topics such as configuration management planning, change management, version and release management, and the use of CASE tools to support configuration management. Configuration management aims to manage changes to software products and control system evolution through activities like change control, version control, and configuration auditing.
Interface specification
Interface specificationmaliksiddique1 All software systems must operate with existing systems that have already been implemented and installed in an environment.
Software Quality Management
Software Quality ManagementECC International The document discusses key concepts in software quality including:
1) The relationships between software errors, faults, and failures and their causes during development.
2) The importance of software quality and quality assurance objectives like defect prevention and removal.
3) Quality assurance techniques like verification, validation, inspections, testing and standards to evaluate conformance.
4) How quality is managed through metrics, process engineering, and cost controls.
Development and quality plan
Development and quality plannethisip13 The document outlines elements of a development plan and quality assurance plan for a software project. The development plan covers deliverables, interfaces, methodology, standards, milestones, organization, facilities, risks, and costs. The quality assurance plan defines quality goals, review activities, tests, and configuration management. It also discusses classes of development risks like scheduling and requirements, and provides examples of top risks. Finally, it describes a risk management process and potential actions to prevent and resolve risks through prevention, identification, and resolution. The overall objectives are to plan adequately for successful and timely project completion through scheduling, resource allocation, risk resolution, quality activities, and management control.
Analisis iso 25010
Analisis iso 25010Evelyna Saquisili This document presents an overview of ISO quality models ISO/IEC 9126 and ISO/IEC 25010 for software product quality. It discusses the characteristics, sub-characteristics, and measures defined in each model. It also provides examples of how internal, external, and quality in use measures are defined. The document concludes that ISO 25010 differs from 9126 in its relationships between system and software quality and restructures some characteristics and sub-characteristics. It notes next steps involve defining new measures and quality measure elements for the updated characteristics in ISO 25010.
About Nimbus Concept
About Nimbus ConceptNimbus Concept We are an Engineering study devoted to Analyze, Develop, Deploy and Integrate platforms and architectures related to Cloud Computing based on Open Source solutions.
Software Maintenance
Software MaintenanceAmeer Hasan Malik This document discusses software maintenance. It defines software maintenance as modifying software after delivery to correct faults, improve performance, or change attributes. The document then discusses reasons for maintenance like changing requirements or fixing errors. It outlines different maintenance types including corrective, adaptive, perfective and preventive maintenance. The document also examines maintenance models such as quick-fix, iterative enhancement, full-reuse, Boehm's model and Taute's model.
Software quality
Software qualityjagadeesan The document discusses software quality management and outlines five units: introduction to software quality; software quality assurance; quality control and reliability; quality management systems; and quality standards. It defines quality, discusses hierarchical models of quality including those proposed by Boehm and McCall, and explains techniques for improving software quality like metrics, reviews, and standards.
Non functional requirements. do we really care…?
Non functional requirements. do we really care…?OSSCube Non Functional requirements are an essential part of a project’s success, sometimes it becomes less focused area as everyone tries to make project successful in terms of functionality. This recorded webinar uncovers what can happen if Non Functional requirements are not addressed properly. What are the after impacts? You also learn the importance of Non Functional requirement, their identification, implementation and verification.
Ch 7 integrating quality activities in the projectlife cycle
Ch 7 integrating quality activities in the projectlife cycleKittitouch Suteeca The document describes Kittitouch S.'s software engineering course covering various topics:
- Software development methodologies like waterfall, prototyping, spiral, and object-oriented models.
- Factors affecting quality assurance activities and models for quality assurance planning.
- Key software engineering concepts like verification, validation, and qualification.
- A model for evaluating the effectiveness and costs of software quality assurance plans and defect removal activities.
The document includes three revisions by Kittitouch between January and May 2012 with added topics in each revision.
Viewers also liked (6)
Quality attributes in software architecture
Quality attributes in software architectureGang Tao This document discusses various quality attributes in software architecture including responsiveness, scalability, usability, security, accessibility, serviceability, extensibility, distributability, maintainability, portability, reliability, testability, and compatibility. For each attribute, it provides definitions and considerations for how to achieve that attribute in architecture and design. It also discusses relationships between attributes and references quality models for evaluating software.
How we measure quality of JIRA deployments to Cloud?
How we measure quality of JIRA deployments to Cloud?Stowarzyszenie Jakości Systemów Informatycznych (SJSI) This document discusses measuring quality for JIRA Cloud releases. It begins with principles for metrics, including starting with questions to answer, collecting metrics to drive decisions rather than as an end, and being willing to discard metrics. It then discusses context around JIRA Cloud and challenges in measuring its quality. Specific metrics proposed include number of incidents and support cases per release. The document advocates learning from measurements by focusing on prevention initiatives rather than just root causes. It emphasizes continuous improvement through metrics.
Quality Attributes Workshop
Quality Attributes WorkshopCS, NcState The document summarizes a quality attribute workshop (QAW) method used by NASA and West Virginia University to systematically elicit software requirements from stakeholders. A QAW has eight steps: introductions, presentations on business/mission and architecture, identifying drivers, brainstorming scenarios, consolidating, prioritizing, and refining scenarios. The goal is to gather stakeholders to discuss desired system features, create scenarios around quality attributes, and document requirements.
System Quality Attributes for Software Architecture
System Quality Attributes for Software ArchitectureAdnan Masood Software Quality Attributes are the benchmarks that describe system’s intended behavior. These slides go through an overview of what some of these attributes are and how to evaluate them.
NoSQL Now! NoSQL Architecture Patterns
NoSQL Now! NoSQL Architecture PatternsDATAVERSITY The NoSQL movement has introduced four new database architectural patterns that complement, but not replace, traditional relational and analytical databases. This presentation will introduce these four patterns and discuss their relative strengths and weaknesses for solving a variety of business problems. These problems include Big Data (scalability), search, high availability and agility. For each type of problem we look at how NoSQL databases take different approaches to solving these problems and how you can use this knowledge to find the right database architecture for your business challenges.
Quality by Design : Quality Target Product Profile & Critical Quality Attrib...
Quality by Design : Quality Target Product Profile & Critical Quality Attrib...GMP EDUCATION : Not for Profit Organization FDA’s emphasis on quality by design began with the recognition that increased testing does not improve product quality (this has long been recognized in other industries).In order for quality to increase, it must be built into the product. To do this requires understanding how formulation and manufacturing process variables influence product quality.Quality by Design (QbD) is a systematic approach to pharmaceutical development that begins with predefined objectives and emphasizes product and process understanding and process control, based on sound science and quality risk management.
This presentation - Part II in the series- deals with the concepts of Quality Target Product Profile and Critical Quality attributes.This presentation was compiled from material freely available from FDA , ICH , EMEA and other free resources on the world wide web
How we measure quality of JIRA deployments to Cloud?
How we measure quality of JIRA deployments to Cloud?Stowarzyszenie Jakości Systemów Informatycznych (SJSI)
Quality by Design : Quality Target Product Profile & Critical Quality Attrib...
Quality by Design : Quality Target Product Profile & Critical Quality Attrib...GMP EDUCATION : Not for Profit Organization
Ad
Similar to Software architecture quality attributes & Trade-offs (20)
Powering your TMF for Inspection Readiness
Powering your TMF for Inspection ReadinessChristopher M. McSpiritt Presentation from the 2016 MAGI West conference on how to prepare your organization for inspection readiness by focusing on processes, governance, and tools.
Introduction to computer security syllabus
Introduction to computer security syllabusAyebazibwe Kenneth This document outlines the syllabus for an Introduction to Computer Security course. The course will cover 9 topics over 28 lectures, including basic cryptography, program security, operating system security, trusted operating systems, database security, network security, and security management. By the end of the course, students will understand key computer security concepts and threats. Assignments, a midterm, and final exam will assess student learning. Required textbooks and the schedule of reading assignments are also provided.
Non-Functional Requirements
Non-Functional RequirementsYuriy Guts This document discusses considerations for defining and quantifying non-functional requirements (NFRs) such as performance, availability, and security for a software system. It recommends speaking to stakeholders to understand priorities, explaining tradeoffs in cost and schedule to agree on specific, measurable NFRs. It also provides examples of how to quantify NFRs related to response time, availability, security, and other quality attributes.
From testing to quality governance and problem resolution.pdf
From testing to quality governance and problem resolution.pdfXavier Escudero Sabadell The document discusses the Catalan government's efforts to improve quality governance and problem resolution for its information and communication technology (ICT) systems. It oversaw the centralization of ICT budget and management through CTTI to increase efficiency. CTTI implemented a new ICT model and quality governance framework to comply with goals of cost reduction, standardization, and externalization. This included classifying applications by risk to tailor quality activities, implementing tools for testing and monitoring, and creating task forces to diagnose and resolve difficult problems by bringing together developers, quality analysts, and operations teams. Continuous improvement efforts focused on learning from experience and balancing quality activities according to risk.
Lecture 10 Reliability.ppt
Lecture 10 Reliability.ppttinymoley 1. The document discusses reliability engineering and strategies to improve product reliability. It covers topics like reliability goals, testing approaches, common failure modes, and analysis techniques.
2. Specific points discussed include the bathtub curve for failure rates, approaches to address infant mortality, wear-out, and chance failures, and analyses like FMEA and fault tree analysis to understand potential failures.
3. Best practices mentioned are implementing redundancy carefully, using fewer components, better material selection, starting reliability efforts earlier, and understanding failure physics to model reliability.
Threat Hunting Platforms (Collaboration with SANS Institute)
Threat Hunting Platforms (Collaboration with SANS Institute)Sqrrl Traditional security measures like firewalls, IDS, endpoint protection, and SIEMs are only part of the network security puzzle. Threat hunting is a proactive approach to uncovering threats that lie hidden in your network or system, that can evade more traditional security tools. Go in-depth with Sqrrl and SANS Institute to learn how hunting platforms work.
Watch the recording with audio here: http://info.sqrrl.com/sans-sqrrl-threat-hunting-webcast
AWS Forcecast: DeepAR Predictor Time-series 
AWS Forcecast: DeepAR Predictor Time-series PolarSeven Pty Ltd This document discusses time series forecasting methods and the AWS Forecast service. It provides an overview of traditional statistical versus modern machine learning approaches for time series. It then focuses on the DeepAR algorithm within AWS Forecast, explaining that it is a multi-step, multivariate approach that shares information across time series to model non-linearities and interactions. Best practices for using DeepAR are outlined, and there is a reference to a demo of DeepAR on an electricity dataset.
The Automation Firehose: Be Strategic & Tactical With Your Mobile & Web Testing
The Automation Firehose: Be Strategic & Tactical With Your Mobile & Web TestingPerfecto by Perforce The document discusses strategies for effective test automation. It emphasizes taking a risk-based approach to prioritize what to automate based on factors like frequency of use, complexity of setup, and business impact. The document outlines approaches for test automation frameworks, coding standards, and addressing common challenges like technical debt. It provides examples of metrics to measure the effectiveness of test automation efforts.
Building a Successful Threat Hunting Program
Building a Successful Threat Hunting ProgramCarl C. Manion Understanding the key components necessary to build a successful threat hunting program starts with visibility, the appropriate tools and automation. Skilled, experienced analysts, engineers and incident responders with analytical minds who can apply concepts and approaches to a variety of different toolsets are also instrumental to the process. In this presentation, We'll describe and discuss some of the most common challenges, recommended best practices, and focus areas for achieving an effective threat hunting capability based on lessons learned over the past 15 years.
Comparative Study of Machine Learning Algorithms for Sentiment Analysis with ...
Comparative Study of Machine Learning Algorithms for Sentiment Analysis with ...Sagar Deogirkar Comparing the State-of-the-Art Deep Learning with Machine Learning algorithms performance on TF-IDF vector creation for Sentiment Analysis using Airline Tweeter Data Set.
Community it innovators - IT Planning for Disasters
Community it innovators - IT Planning for DisastersCommunity IT Innovators This webinar covered IT planning for disasters. It discussed key concepts like business continuity, disaster recovery, data retention, and technical objectives. It emphasized the importance of inventorying an organization's data assets and identifying uptime, retention, recovery time, and recovery point requirements. The webinar then reviewed availability solutions like cloud backup, cloud services, and on-premise options. It provided a sample data inventory and potential technical solutions. The presenters were from Community IT Innovators and discussed their nonprofit focus on helping other nonprofits with strategic and operational IT challenges.
Overlapping Experiments Infrastructure
Overlapping Experiments InfrastructureSrihari Sriraman Slides for the presentation of google's Overlapping Experiment Infrastructure paper at "Papers we Love", Bangalore.
What Is Process Safety Engineering
What Is Process Safety Engineeringsmpr_iqbal Process safety engineering involves identifying hazards in chemical processes, evaluating risks quantitatively and qualitatively, and identifying cost-effective solutions to reduce risks. Key activities include performing hazard analyses, ensuring safety systems are properly designed, training personnel, conducting audits and investigations, and developing process safety programs. The engineer requires knowledge of engineering standards, human factors, process information, hazards analysis methods, risk analysis techniques, and decision analysis.
An Adaptive Hybrid Technique approach of Test Case Prioritization
An Adaptive Hybrid Technique approach of Test Case PrioritizationINFOGAIN PUBLICATION Test-Case Prioritization is the method to schedule any execution order of the test with the purpose of maximizing some objects like revealing faults early. In this paper we have proposed the hybrid approach for the purpose of the test case prioritization involving Robust Genetic Algorithm to improve the parameters like APSC and execution time. This technique involves robust approach, parent generation, cross-over and mutation over each test-case and then calculates APSC and execution time.
Summit 16: Carrier Grade Testing Integration
Summit 16: Carrier Grade Testing IntegrationOPNFV Brahmaputra included lots of possible combinations and created the concept of scenario. Continuous Integration allows testing of these combinations and produces lots of results. Functest, Yardstick and all the OPNFV test projects are in charge to create, integrate and run testcases. The production of lots of results for very heterogeneous tests is challenging for all the test projects. Lots of parameters are complex to manage (the POD, the installer, the scenario, ..), that is why success criteria are not always trivial to define. This presentation will explain how Functest & Yardstick are trying to address this complexity in test management.
Utility of Test Coverage Metrics in TDD
Utility of Test Coverage Metrics in TDDXP Conference India This document discusses test coverage metrics in test-driven development (TDD). It defines common coverage metrics like statement coverage and branch coverage and explains mutation coverage in more detail. Mutation coverage involves making small changes to code to generate mutants and measuring whether tests can detect the changes. The document also lists some popular tools for measuring test coverage and mutation coverage. It observes that coverage metrics are relevant for TDD and mutation coverage specifically tells if aspects of code are truly tested.
Test case design techniques
Test case design techniquesAshutosh Garg This slide deck is for all the QA members who want to understand the methodology of test case design. These slides are not theoretical gyan but designed based on experience.
Test case design techniques
Test case design techniques2PiRTechnologies Designing test cases are never easy. Instead of following an adhoc approach, it is suggested to have a clear cut thought through approach.
June brownbagpressurvey
June brownbagpressurveyMicah Altman The document discusses approaches to preservation storage technologies. It begins with a disclaimer and list of collaborators. It then asks a simple question about how to store 1000 files with 99.99% access for 20 years. While cloud storage claims very high reliability, there are hidden assumptions around the estimates provided. Leading institutions are taking a more nuanced approach, such as distributing copies across different locations and technologies. Emerging best practices incorporate methods for mitigating bit-level risks like having multiple copies in diverse formats and locations, with fixity checks, verification and auditing. Future research is needed to better model risks and the costs and benefits of different approaches.
Ad
More from Asanka Dilruk (10)
oracle tables
oracle tablesAsanka Dilruk The document discusses different types of Oracle tables, including partitioned tables which decompose large tables into smaller pieces called partitions for improved manageability and performance. Clustered tables store related data in the same data blocks, reducing disk I/O. Index-organized tables use indexes as the primary key to access rows. Compression tables reduce storage requirements. External tables allow querying external data sources, while temporary tables hold private session data that exists only for the duration of a transaction or session.
HydraFS
HydraFSAsanka Dilruk HydraFS is a file system built on top of the HYDRAstor content-addressable storage system to provide a standard file system interface. It addresses challenges of immutable blocks, high latency block operations, and metadata cache misses in CAS. HydraFS decouples data and metadata processing, uses read/write buffers and caches, and limits concurrent operations to improve throughput and availability. Evaluation showed HydraFS provides comparable or better throughput than raw devices and scales effectively with data deduplication.
BitonicSortSIMD
BitonicSortSIMDAsanka Dilruk The document discusses Bitonic sort, a parallel sorting algorithm that is well-suited for SIMD array processors. It begins with background on sorting and parallel approaches. It then describes the characteristics of SIMD array processors, including single instruction, multiple data execution and multiple processing elements. The main part of the document outlines the Bitonic sort algorithm, which works by repeatedly merging sublists into larger Bitonic lists until the full list is sorted. It provides an example of sorting 8 elements to illustrate the algorithm's stages of building monotonic and Bitonic lists. Bitonic sort runs in O(log n) time on SIMD array processors by performing sorting operations in parallel across processing elements.
11 Model-Driven Testing with UML 2
11 Model-Driven Testing with UML 2Asanka Dilruk - The document discusses model-driven testing using the UML 2.0 Testing Profile (U2TP). U2TP bridges the gap between system designers and testers by allowing tests to be specified using UML models.
- A methodology is presented for developing test designs from system models. This involves defining a test package, importing system classes and interfaces, and specifying test architecture and behavior.
- Test architecture defines concepts like the system under test, test components, test context, and test control. Test behavior is specified using interactions, state machines, and other UML behaviors.
- Model transformations are used to convert UML system models into U2TP-compliant test models. Transformation rules map
Agile Requirements Engineering Practices: An Empirical Study
Agile Requirements Engineering Practices: An Empirical StudyAsanka Dilruk Paper presentation for my MSc @ UOM
Paper : "Agile Requirements
Engineering Practices:
An Empirical Study" on 2008
Lan Cao, Old Dominion University
Balasubramaniam Ramesh, Georgia State University
Bitonic Sort in Shared SIMD Array Processor
Bitonic Sort in Shared SIMD Array ProcessorAsanka Dilruk The document discusses Bitonic sort, a parallel sorting algorithm that is well-suited for SIMD array processors. It begins with background on sorting and parallel approaches. It then describes SIMD array processors as having single instruction, multiple data and multiple processing elements. The main part of the document presents the Bitonic sort algorithm, which works by repeatedly building bitonic lists from smaller monotonic lists until a fully sorted list is achieved. It also provides an example of sorting 8 elements to illustrate the algorithm.
Model-Driven Testing with UML 2.0
Model-Driven Testing with UML 2.0Asanka Dilruk Paper presentation for my MSc @ UOM. The paper was "Model-Driven Testing with UML 2.0", Zhen Ru Dai Fraunhofer FOKUS, Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany [email protected]
Oracle DB Performance Tuning Tips
Oracle DB Performance Tuning TipsAsanka Dilruk This document discusses Oracle performance tuning. It covers two types of Oracle tuning: instance tuning and SQL tuning. The document outlines SQL tuning steps such as identifying high load or low performing SQL statements, verifying execution plans, and implementing corrective actions. It provides tips for writing better SQL statements including selecting only required columns, using indexes appropriately, and avoiding implicit type conversions. Index types like B-tree, bitmap, and function-based indexes are also discussed.
Understanding Android Security
Understanding Android SecurityAsanka Dilruk This presentation done for my MSc studies @ UOM. The presentation is related to the paper "Understanding Android Security" by William Enck, Machigar Ongtang, and Patrick McDaniel. Pennsylvania State University on 2009
Windows OS Architecture in Summery
Windows OS Architecture in SummeryAsanka Dilruk This presentation done for my MSc studies @ UOM. Purpose of the presentation is to highlight major architectural designs in the windows OS.
Recently uploaded (20)
The Significance of Hardware in Information Systems.pdf
The Significance of Hardware in Information Systems.pdfdrewplanas10 The Significance of Hardware in Information Systems: The Types Of Hardware and What They Do
Mastering OOP: Understanding the Four Core Pillars
Mastering OOP: Understanding the Four Core PillarsMarcel David Visit for updated note:
https://www.notion.so/Four-Pillars-of-Object-Oriented-Programming-OOP-1e2d7d9612808079b7c5f938afd62a7b?pvs=4
Dive into the essential concepts of Object-Oriented Programming (OOP) with a detailed explanation of its four key pillars: Encapsulation, Inheritance, Polymorphism, and Abstraction. Understand how these principles contribute to robust, maintainable, and scalable software development.
Meet the Agents: How AI Is Learning to Think, Plan, and Collaborate
Meet the Agents: How AI Is Learning to Think, Plan, and CollaborateMaxim Salnikov Imagine if apps could think, plan, and team up like humans. Welcome to the world of AI agents and agentic user interfaces (UI)! In this session, we'll explore how AI agents make decisions, collaborate with each other, and create more natural and powerful experiences for users.
Adobe Photoshop CC 2025 Crack Full Serial Key With Latest
Adobe Photoshop CC 2025 Crack Full Serial Key With Latestusmanhidray Copy & Past Link👉👉💖
💖http://drfiles.net/
Adobe Photoshop is a widely-used, professional-grade software for digital image editing and graphic design. It allows users to create, manipulate, and edit raster images, which are pixel-based, and is known for its extensive tools and capabilities for photo retouching, compositing, and creating intricate visual effects.
Exploring Wayland: A Modern Display Server for the Future
Exploring Wayland: A Modern Display Server for the FutureICS Wayland is revolutionizing the way we interact with graphical interfaces, offering a modern alternative to the X Window System. In this webinar, we’ll delve into the architecture and benefits of Wayland, including its streamlined design, enhanced performance, and improved security features.
Agentic AI Use Cases using GenAI LLM models
Agentic AI Use Cases using GenAI LLM modelsManish Chopra This document presents specific use cases for Agentic AI (Artificial Intelligence), featuring Large Language Models (LLMs), Generative AI, and snippets of Python code alongside each use case.
Landscape of Requirements Engineering for/by AI through Literature Review
Landscape of Requirements Engineering for/by AI through Literature ReviewHironori Washizaki Hironori Washizaki, "Landscape of Requirements Engineering for/by AI through Literature Review," RAISE 2025: Workshop on Requirements engineering for AI-powered SoftwarE, 2025.
Maxon CINEMA 4D 2025 Crack FREE Download LINK
Maxon CINEMA 4D 2025 Crack FREE Download LINKyounisnoman75 ⭕️➡️ FOR DOWNLOAD LINK : http://drfiles.net/ ⬅️⭕️
Maxon Cinema 4D 2025 is the latest version of the Maxon's 3D software, released in September 2024, and it builds upon previous versions with new tools for procedural modeling and animation, as well as enhancements to particle, Pyro, and rigid body simulations. CG Channel also mentions that Cinema 4D 2025.2, released in April 2025, focuses on spline tools and unified simulation enhancements.
Key improvements and features of Cinema 4D 2025 include:
Procedural Modeling: New tools and workflows for creating models procedurally, including fabric weave and constellation generators.
Procedural Animation: Field Driver tag for procedural animation.
Simulation Enhancements: Improved particle, Pyro, and rigid body simulations.
Spline Tools: Enhanced spline tools for motion graphics and animation, including spline modifiers from Rocket Lasso now included for all subscribers.
Unified Simulation & Particles: Refined physics-based effects and improved particle systems.
Boolean System: Modernized boolean system for precise 3D modeling.
Particle Node Modifier: New particle node modifier for creating particle scenes.
Learning Panel: Intuitive learning panel for new users.
Redshift Integration: Maxon now includes access to the full power of Redshift rendering for all new subscriptions.
In essence, Cinema 4D 2025 is a major update that provides artists with more powerful tools and workflows for creating 3D content, particularly in the fields of motion graphics, VFX, and visualization.
Designing AI-Powered APIs on Azure: Best Practices& Considerations
Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri AI is transforming APIs, enabling smarter automation, enhanced decision-making, and seamless integrations. This presentation explores key design principles for AI-infused APIs on Azure, covering performance optimization, security best practices, scalability strategies, and responsible AI governance. Learn how to leverage Azure API Management, machine learning models, and cloud-native architectures to build robust, efficient, and intelligent API solutions
Societal challenges of AI: biases, multilinguism and sustainability
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
Douwan Crack 2025 new verson+ License code
Douwan Crack 2025 new verson+ License codeaneelaramzan63 Copy & Paste On Google >>> https://dr-up-community.info/
Douwan Preactivated Crack Douwan Crack Free Download. Douwan is a comprehensive software solution designed for data management and analysis.
Adobe Lightroom Classic Crack FREE Latest link 2025
Adobe Lightroom Classic Crack FREE Latest link 2025kashifyounis067 🌍📱👉COPY LINK & PASTE ON GOOGLE http://drfiles.net/ 👈🌍
Adobe Lightroom Classic is a desktop-based software application for editing and managing digital photos. It focuses on providing users with a powerful and comprehensive set of tools for organizing, editing, and processing their images on their computer. Unlike the newer Lightroom, which is cloud-based, Lightroom Classic stores photos locally on your computer and offers a more traditional workflow for professional photographers.
Here's a more detailed breakdown:
Key Features and Functions:
Organization:
Lightroom Classic provides robust tools for organizing your photos, including creating collections, using keywords, flags, and color labels.
Editing:
It offers a wide range of editing tools for making adjustments to color, tone, and more.
Processing:
Lightroom Classic can process RAW files, allowing for significant adjustments and fine-tuning of images.
Desktop-Focused:
The application is designed to be used on a computer, with the original photos stored locally on the hard drive.
Non-Destructive Editing:
Edits are applied to the original photos in a non-destructive way, meaning the original files remain untouched.
Key Differences from Lightroom (Cloud-Based):
Storage Location:
Lightroom Classic stores photos locally on your computer, while Lightroom stores them in the cloud.
Workflow:
Lightroom Classic is designed for a desktop workflow, while Lightroom is designed for a cloud-based workflow.
Connectivity:
Lightroom Classic can be used offline, while Lightroom requires an internet connection to sync and access photos.
Organization:
Lightroom Classic offers more advanced organization features like Collections and Keywords.
Who is it for?
Professional Photographers:
PCMag notes that Lightroom Classic is a popular choice among professional photographers who need the flexibility and control of a desktop-based application.
Users with Large Collections:
Those with extensive photo collections may prefer Lightroom Classic's local storage and robust organization features.
Users who prefer a traditional workflow:
Users who prefer a more traditional desktop workflow, with their original photos stored on their computer, will find Lightroom Classic a good fit.
Adobe Illustrator Crack | Free Download & Install Illustrator
Adobe Illustrator Crack | Free Download & Install Illustratorusmanhidray Copy & Link Here 👉👉
http://drfiles.net/
Adobe Illustrator is a vector graphics editor and design software, developed and marketed by Adobe, used for creating logos, icons, illustrations, and other graphics that can be scaled without loss of quality. It's a powerful tool for graphic designers, web designers, and artists who need to create crisp, scalable artwork for various applications like print, web, and mobile.
Get & Download Wondershare Filmora Crack Latest [2025]![Get & Download Wondershare Filmora Crack Latest [2025]](https://cdn.slidesharecdn.com/ss_thumbnails/revolutionizingresidentialwi-fi-250422112639-60fb726f-250429170801-59e1b240-thumbnail.jpg?width=560&fit=bounds)
Get & Download Wondershare Filmora Crack Latest [2025]saniaaftab72555 Copy & Past Link 👉👉
https://dr-up-community.info/
Wondershare Filmora is a video editing software and app designed for both beginners and experienced users. It's known for its user-friendly interface, drag-and-drop functionality, and a wide range of tools and features for creating and editing videos. Filmora is available on Windows, macOS, iOS (iPhone/iPad), and Android platforms.
Revolutionizing Residential Wi-Fi PPT.pptx
Revolutionizing Residential Wi-Fi PPT.pptxnidhisingh691197 Discover why Wi-Fi 7 is set to transform wireless networking and how Router Architects is leading the way with next-gen router designs built for speed, reliability, and innovation.
Solidworks Crack 2025 latest new + license code
Solidworks Crack 2025 latest new + license codeaneelaramzan63 Copy & Paste On Google >>> https://dr-up-community.info/
The two main methods for installing standalone licenses of SOLIDWORKS are clean installation and parallel installation (the process is different ...
Disable your internet connection to prevent the software from performing online checks during installation
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
Xforce Keygen 64-bit AutoCAD 2025 Crack
Xforce Keygen 64-bit AutoCAD 2025 Crackusmanhidray Copy & Past Link 👉👉
http://drfiles.net/
When you say Xforce with GTA 5, it sounds like you might be talking about Xforce Keygen — a tool that's often mentioned in connection with cracking software like Autodesk programs.
BUT, when it comes to GTA 5, Xforce isn't officially part of the game or anything Rockstar made.
If you're seeing "Xforce" related to GTA 5 downloads or cracks, it's usually some unofficial (and risky) tool for pirating the game — which can be super dangerous because:
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...University of Hawai‘i at Mānoa This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...University of Hawai‘i at Mānoa
Software architecture quality attributes & Trade-offs
- 1. Software Architecture Quality Attributes Tradeoffs Presented By : Asanka Dilruk
- 2. Diff. Product Domains Houses Vehicles Software
- 4. Tradeoff • As a Philosophy Theory • Define Tradeoffs at Beginning o ATAM o Utility Tree (Quality Attribute Metrics) • Architecture should able to balance Attributes
- 5. Performance • Metrics o TPS, Response Time ,Latency/Waiting Time • Tactics o Maximum resource utilization o Parallelism o Avoid unnecessary message conversions • Tradeoffs o Security, Availability, Testability, Reliability
- 6. Availability • Metrics o Percentage (MTTF / MTTF + MTTR) o 90% (40 Days), 99%(4 Days), 99.9%(9 Hours), 99.99% (50 Minutes), 99.999% (5 Minutes) • Tactics o Replication (Multiple do same) o Recovery Mechanism o Fault Tolerance • Tradeoffs o Security, Testability, Cost
- 7. Security • Metrics o Measurement of confidentiality, integrity & availability • Tactics o Prevention, Detection, Reaction o Information can be in Being transmitted, Being stored or Being processed o Identification, Authentication, Access Control, Auditing, Encryption, Hashing, Cryptography • Tradeoffs o Performance, Accessibility, Usability, Cost
- 8. Scalability • Metrics o Throughput against the resources o VS & HS • Tactics o Maximum resource utilization (VS) o Distributed systems o Load balancing (SW/HW) • Tradeoffs o Security, Testability, Deployability
- 10. Thank You !
- 11. Discussions