The document discusses software process and product quality assurance in IT organizations. It describes the objectives and importance of process and product quality assurance (PPQA), which involves objectively evaluating processes, work products, and services to identify noncompliance issues and provide feedback for improvement. The document outlines PPQA procedures such as developing a PPQA plan, providing training, evaluating processes and work products, preparing reports, and defining roles. It also discusses ensuring objectivity in evaluations. Overall, the document provides an overview of PPQA and how it supports high-quality software development through objective evaluations and continuous improvement.
This document discusses process and product quality assurance (PPQA) in IT organizations. It describes the objectives of PPQA as objectively evaluating processes, work products, and services to provide management with insights into strengths and weaknesses for continual improvement. The document outlines the key activities of PPQA, including evaluating processes and work products against standards, identifying noncompliance issues, providing feedback, and ensuring issues are addressed. It also discusses how objectivity is important and can be achieved through independence and criteria. PPQA supports delivering high-quality products and services by providing visibility and feedback throughout a project's life.
Quality engineering in the digital age... Why? How? (ASQF Keynote by Rik Mars...Rik Marselis
In this keynote presentation at the ASQF-NRW Testingday, Rik Marselis (Principal quality consultant at Sogeti) explains how Quality Engineering can be implemented in high-performance IT delivery teams by applying Artificial Intelligence, Machine Learning and other ways of automation to ultimately achieve quality forecasting which enables to solve problems before people notice any problem!
This presentation is based on the books "Testing in the digital age - AI makes the difference" and "Quality for DevOps teams", both from the TMAP body of knowledge. Rik is co-author of both books.
This document is a project report submitted in partial fulfillment of the requirements for a Bachelor of Technology degree in Computer Science and Engineering. It describes the development of a system called "PROACTIVE" aimed at quality assurance and control for an international manufacturer of semiconductor materials. The proposed system would analyze manufacturing data to detect quality issues and respond proactively, as opposed to traditional reactive quality applications. It would balance production throughput needs with stringent quality control for solar module components.
This document discusses productivity improvement initiatives in the software industry. It examines challenges in measuring software productivity, including why it should be measured, who should collect data, and what should be measured. Some key factors that affect productivity are identified, such as product characteristics, the development process, and work environment settings. Approaches like Lean are presented as ways to eliminate waste and improve flow. A case study example demonstrates specific measures taken by a company to enhance productivity, such as process optimization and testing improvements. The conclusion is that understanding software productivity factors can help organizations implement effective initiatives to reduce costs and improve quality.
STATISTICAL ANALYSIS OF METRICS FOR SOFTWARE QUALITY IMPROVEMENT ijseajournal
Software product quality can be defined as the features and characteristics of the product that meet the user needs. The quality of any software can be achieved by following a well defined software process. These software process results into various metrics like Project metrics, Product metrics and Process metrics. Software quality depends on the process which is carried out to design and develop software. Even though the process can be carried out with utmost care, still it can introduce some error and defects. Process metrics are very useful from management point of view. Process metrics can be used for improving the software development and maintenance process for defect removal and also for reducing the response
time.
This paper describes the importance of capturing the Process metrics during the quality audit process and also attempts to categorize them based on the nature of error captured. To reduce such errors and defects found, steps for corrective actions are recommended.
Testability measurement model for object oriented design (tmmood)ijcsit
Measuring testability early in the development life cycle especially at design phase is a criterion of crucial importance to software designers, developers, quality controllers and practitioners. However, most of the
mechanism available for testability measurement may be used in the later phases of development life cycle.
Early estimation of testability, absolutely at design phase helps designers to improve their designs before
the coding starts. Practitioners regularly advocate that testability should be planned early in design phase.
Testability measurement early in design phase is greatly emphasized in this study; hence, considered significant for the delivery of quality software. As a result, it extensively reduces rework during and after implementation, as well as facilitate for design effective test plans, better project and resource planning in a practical manner, with a focus on the design phase. An effort has been put forth in this paper to recognize the key factors contributing in testability measurement at design phase. Additionally, testability
measurement model is developed to quantify software testability at design phase. Furthermore, the relationship of Testability with these factors has been tested and justified with the help of statistical measures. The developed model has been validated using experimental tryout. Finally, it incorporates the empirical validation of the testability measurement model as the author’s most important contribution.
This document provides an overview of software testing concepts and processes. It discusses the importance of testing in the software development lifecycle and defines key terms like errors, bugs, faults, and failures. It also describes different types of testing like unit testing, integration testing, system testing, and acceptance testing. Finally, it covers quality assurance and quality control processes and how bugs are managed throughout their lifecycle.
This document discusses process and product quality assurance (PPQA) in IT organizations. It describes the objectives of PPQA as objectively evaluating processes, work products, and services to provide management with insights into strengths and weaknesses for continual improvement. The document outlines the key activities of PPQA, including evaluating processes and work products against standards, identifying noncompliance issues, providing feedback, and ensuring issues are addressed. It also discusses how objectivity is important and can be achieved through independence and criteria. PPQA supports delivering high-quality products and services by providing visibility and feedback throughout a project's life.
Quality engineering in the digital age... Why? How? (ASQF Keynote by Rik Mars...Rik Marselis
In this keynote presentation at the ASQF-NRW Testingday, Rik Marselis (Principal quality consultant at Sogeti) explains how Quality Engineering can be implemented in high-performance IT delivery teams by applying Artificial Intelligence, Machine Learning and other ways of automation to ultimately achieve quality forecasting which enables to solve problems before people notice any problem!
This presentation is based on the books "Testing in the digital age - AI makes the difference" and "Quality for DevOps teams", both from the TMAP body of knowledge. Rik is co-author of both books.
This document is a project report submitted in partial fulfillment of the requirements for a Bachelor of Technology degree in Computer Science and Engineering. It describes the development of a system called "PROACTIVE" aimed at quality assurance and control for an international manufacturer of semiconductor materials. The proposed system would analyze manufacturing data to detect quality issues and respond proactively, as opposed to traditional reactive quality applications. It would balance production throughput needs with stringent quality control for solar module components.
This document discusses productivity improvement initiatives in the software industry. It examines challenges in measuring software productivity, including why it should be measured, who should collect data, and what should be measured. Some key factors that affect productivity are identified, such as product characteristics, the development process, and work environment settings. Approaches like Lean are presented as ways to eliminate waste and improve flow. A case study example demonstrates specific measures taken by a company to enhance productivity, such as process optimization and testing improvements. The conclusion is that understanding software productivity factors can help organizations implement effective initiatives to reduce costs and improve quality.
STATISTICAL ANALYSIS OF METRICS FOR SOFTWARE QUALITY IMPROVEMENT ijseajournal
Software product quality can be defined as the features and characteristics of the product that meet the user needs. The quality of any software can be achieved by following a well defined software process. These software process results into various metrics like Project metrics, Product metrics and Process metrics. Software quality depends on the process which is carried out to design and develop software. Even though the process can be carried out with utmost care, still it can introduce some error and defects. Process metrics are very useful from management point of view. Process metrics can be used for improving the software development and maintenance process for defect removal and also for reducing the response
time.
This paper describes the importance of capturing the Process metrics during the quality audit process and also attempts to categorize them based on the nature of error captured. To reduce such errors and defects found, steps for corrective actions are recommended.
Testability measurement model for object oriented design (tmmood)ijcsit
Measuring testability early in the development life cycle especially at design phase is a criterion of crucial importance to software designers, developers, quality controllers and practitioners. However, most of the
mechanism available for testability measurement may be used in the later phases of development life cycle.
Early estimation of testability, absolutely at design phase helps designers to improve their designs before
the coding starts. Practitioners regularly advocate that testability should be planned early in design phase.
Testability measurement early in design phase is greatly emphasized in this study; hence, considered significant for the delivery of quality software. As a result, it extensively reduces rework during and after implementation, as well as facilitate for design effective test plans, better project and resource planning in a practical manner, with a focus on the design phase. An effort has been put forth in this paper to recognize the key factors contributing in testability measurement at design phase. Additionally, testability
measurement model is developed to quantify software testability at design phase. Furthermore, the relationship of Testability with these factors has been tested and justified with the help of statistical measures. The developed model has been validated using experimental tryout. Finally, it incorporates the empirical validation of the testability measurement model as the author’s most important contribution.
This document provides an overview of software testing concepts and processes. It discusses the importance of testing in the software development lifecycle and defines key terms like errors, bugs, faults, and failures. It also describes different types of testing like unit testing, integration testing, system testing, and acceptance testing. Finally, it covers quality assurance and quality control processes and how bugs are managed throughout their lifecycle.
Software metric analysis methods for product developmentiaemedu
This document discusses various software metrics and methods for analyzing metrics to improve the software development process. It begins with an introduction to software metrics and their importance for project management. It then describes common software development phases and associated metrics that can be collected at each phase, such as lines of code, defects, and staff hours. The document proceeds to explain different types of charts and diagrams that can be used to analyze and visualize metrics data, including pie charts, Pareto diagrams, histograms, line charts, scatter plots, radar diagrams, and control charts. These various analysis methods help identify areas for process improvement and determine whether changes have resulted in desired outcomes.
Software metric analysis methods for product development maintenance projectsIAEME Publication
This document discusses various software metrics and methods for analyzing metrics to improve the software development process. It begins with an introduction to software metrics and their importance for project management. It then describes common software development phases and associated metrics that can be collected at each phase. The remainder of the document focuses on different methods for analyzing metrics, including pie charts, Pareto diagrams, bar charts, line charts, scatter diagrams, radar diagrams, and control charts. These analysis methods help identify areas for process improvement and determine if changes have led to desired outcomes.
Material And Structure Optimization And Value Engineering Applied To Car Door...Jayesh Sarode
In this project automobile window regulator is selected as a case study for the use of optimization technique in engineering design. This is a project of the work performed towards the stiffness optimization of an automobile window regulator
This document discusses agile test planning and compares it to traditional test planning methods. It proposes a new template for agile test planning that combines elements of the IEEE 829 test plan standard and James Bach's heuristic test strategy model. The document reviews literature on agile principles, quality assurance, and test planning. It analyzes the components of IEEE 829 and identifies which could be adopted for agile test planning while still adhering to agile values. A research methodology using multiple case studies is presented to analyze the effectiveness of the proposed new agile test planning template.
DOE, Design Of Experiments, DoE Training, Learn How To Use DoE, Taguchi DOEBryan Len
# What is DOE ?
In general, DOE- Design Of Experiments is an useful problem solving, optimizing and product designing method.
DOE is frequently used for root cause quality analysis, improving for healthy designs. The goal is to produce analytical and mathematical models so that system behavior forecasting can be done.
# Why is DOE essential for engineers?
DOE for engineers to teach you both theory and hands-on requirements necessary to run and execute the DOE.
In a nutshell, through the DOE training course for engineers, you will gain sufficient knowledge and skills on how to design, perform, and analyze experiments in the industrial scales.
Attendees like you will learn the principals of DOE and that how to use it in perfect way.
# Who Should Take DOE Training ?
DOE course is designed for,
Design Engineers & Quality managers
Consultants & SPC coordinators
Quality control technicians
R&D managers, scientists,
Product and process engineers
# Learning Opportunities
In DOE course, all the attendees will gain enough knowledge and expertise about,
DOE running and executing expertise
Using DOE approach to solve problems.
Product designing and optimizing
Analytical and mathematical knowledge
Project quality and efficiency with DOE.
Understand DOE facilities and use.
Many other.
# DOE Course Topics
Here are DOE course topics which can be tailored to meet clients need,
Introduction to Design Of Experiments (DOE)
Making a plan with DOE
Analyzing and problem solving with DOE
Confounding and Taguchi DOE
More.
Want to learn more about DOE ?
Log on to tonex.com for DOE course and workshop detail.
DOE, Design Of Experiments, DoE Training, Learn How To Use DoE, Taguchi DOE
https://www.tonex.com/training-courses/design-of-experiments-training/
The document provides information about quality management interview questions, including sample questions, tips for answering questions, and quality management tools. It lists 86 sample interview questions covering topics like ISO 9001 experience, auditing, quality procedures, metrics, and process quality. Tips include identifying key job tasks and requirements before answering. Quality tools described are check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and more. Additional PDFs on related quality management topics are also listed.
This is chapter 2 of ISTQB Specialist Performance Tester certification. This presentation helps aspirants understand and prepare the content of the certification.
The document discusses reporting test results in software testing. It states that a test log and test incident report are prepared during and after test execution. A test log records events during testing like execution details, procedure results, and anomalous events. A test incident report documents any unexpected or unexplainable incidents that require follow-up. It provides details like a summary, description, impact, and identifiers. A test summary report summarizes the overall testing results and forms part of a project's historical records.
Agile techniques that utilize iterative development are broadly used in various industry projects as a lightweight development technique which can satisfy the continuous changes of requirements. Short repetitions are used that are required for efficient product delivery. Traditional and old software development methods are not much efficient and effective to control the rapid change in requirements. Despite the benefits of Agile, criticism on agile methodology states that it couldn’t succeed to pay attention to architectural and design issues and therefore is bound to produce small design-decisions. The past decade has observed numerous changes in systems development with many organizations accepting agile techniques as a viable methodology for developing systems. An increase in the number of research studies reveals the growing demand and acceptance of agile methodologies. While most research has focused on acceptance rate and adaptation of agile practices, there is very limited knowledge of their post-adoption usage and incorporation within organizations. Several factors explain the effective usage of agile methodologies. A combination of previous research in Agile Methodologies, Diffusion of Innovations, Information Systems implementation, and Systems Development has been carried out to develop a research model that identifies the main factors relevant to the propagation and effective usage of agile methodologies in organizations.
This document outlines an instructor-led presentation on software quality metrics. It introduces the instructor and his relevant experience. It then provides information from attendee feedback on previous sessions, including both positive and negative comments. The presentation agenda is then outlined, with topics like how measurement can help organizations understand, evaluate, and improve their processes. Group exercises are included to discuss defining software quality and examples of metrics used in real life. The presentation also covers best practices for using metrics, different models of software quality, and measuring quality within agile development.
This is the chapter 8 of ISTQB Advance Test Automation Engineer certification. This presentation helps aspirants understand and prepare content of certification.
Programming testing is the stage which makes programming as usable quality
scholarly amount. Programming testing under experiences distinctive stages. The
accompanying stages according to the examination are investigation test, test
arranging, experiment or test information or test condition creation, test execution,
bugs logging, following and test strategy. Past research has been improved the
situation advance test process in nature of programming. All accessible testing forms
incorporate distinctive advancement models and diverse programming testing
procedures are performed. Each organization chooses their testing procedure
dependent on the basic condition of the applications each organization selects their
testing procedure. The security, execution and utilitarian parts are most basic in every
application these are altogether to be tried and carrying on obviously. This paper will
clarify and guaranteeing about programming applications quality to do enhanced
testing forms. The real programming testing systems are Security, Performance and
Functional are handled by Analysis, Preparation and Execution will be finished up.
• Assisted in the development of a new PIM (Powder Injection Molding) process for the manufacturing of
biopsy forceps tips and jaws. This project generated over $1.5 million in cost savings.
The document discusses various types and stages of software testing in the software development lifecycle, including:
1. Component testing, the lowest level of testing done in isolation on individual software modules.
2. Integration testing in small increments to test communication between components and non-functional aspects.
3. System testing to test functional and non-functional requirements at the full system level, often done by an independent test group.
4. The document provides details on planning, techniques, and considerations for each type of testing in the software development and integration process.
Extreme Programming (XP) is an agile methodology widely used for software development. However, XP is not as effective for medium and large projects due to weaknesses like poor documentation and lack of risk awareness. This paper reviews several studies on adapting XP for different project sizes through practices like extended planning, architecture design, and risk management. Case studies show the adapted XP approach can provide benefits to medium and large projects similar to what standard XP delivers for small projects.
This document provides an overview of materials for a software testing course based on the ISTQB Foundation Syllabus 2007. It includes slides covering the main topics in the syllabus such as fundamentals of testing, testing throughout the software lifecycle, static techniques, test design techniques, and test management. The slides are intended to help students understand best practices in software testing and prepare for the ISTQB Foundation exam. Mock exams and exercises are included to help assess students' knowledge as they progress through the course materials.
This document provides a checklist for a Test Manager to manage the testing process. It outlines key tasks organized by project phases including: Planning, Analysis, Design, Development & Testing, and Parallel Run & Deployment. For each phase, it lists tasks, deadlines, and brief descriptions to ensure important responsibilities are completed such as creating test plans, cases, data, tracking bugs, monitoring systems, and managing resources and reports. The goal is to have thorough testing to minimize risks and issues during the project lifecycle.
Quality Management in Software Engineering SE24koolkampus
This document discusses quality management in software development. It covers quality assurance and standards, quality planning, quality control, software measurement and metrics. Quality management aims to ensure the required level of quality is achieved in software products by defining quality standards and procedures and making quality everyone's responsibility. Standards are key to effective quality management as they encapsulate best practices and provide a framework for quality assurance processes. Quality reviews and software measurement are important for quality control.
This document discusses software quality management standards. It defines software quality and explains that standards aim to manage quality and development processes. The document outlines three major standards activities: software quality assurance which establishes organizational procedures; software quality plans which select applicable procedures for a project; and software quality control which ensures procedures are followed. It provides examples of standards organizations and types of standards including quality assurance, project management, system engineering, safety, and product standards. The document also notes some problems with software quality standards.
Software metric analysis methods for product developmentiaemedu
This document discusses various software metrics and methods for analyzing metrics to improve the software development process. It begins with an introduction to software metrics and their importance for project management. It then describes common software development phases and associated metrics that can be collected at each phase, such as lines of code, defects, and staff hours. The document proceeds to explain different types of charts and diagrams that can be used to analyze and visualize metrics data, including pie charts, Pareto diagrams, histograms, line charts, scatter plots, radar diagrams, and control charts. These various analysis methods help identify areas for process improvement and determine whether changes have resulted in desired outcomes.
Software metric analysis methods for product development maintenance projectsIAEME Publication
This document discusses various software metrics and methods for analyzing metrics to improve the software development process. It begins with an introduction to software metrics and their importance for project management. It then describes common software development phases and associated metrics that can be collected at each phase. The remainder of the document focuses on different methods for analyzing metrics, including pie charts, Pareto diagrams, bar charts, line charts, scatter diagrams, radar diagrams, and control charts. These analysis methods help identify areas for process improvement and determine if changes have led to desired outcomes.
Material And Structure Optimization And Value Engineering Applied To Car Door...Jayesh Sarode
In this project automobile window regulator is selected as a case study for the use of optimization technique in engineering design. This is a project of the work performed towards the stiffness optimization of an automobile window regulator
This document discusses agile test planning and compares it to traditional test planning methods. It proposes a new template for agile test planning that combines elements of the IEEE 829 test plan standard and James Bach's heuristic test strategy model. The document reviews literature on agile principles, quality assurance, and test planning. It analyzes the components of IEEE 829 and identifies which could be adopted for agile test planning while still adhering to agile values. A research methodology using multiple case studies is presented to analyze the effectiveness of the proposed new agile test planning template.
DOE, Design Of Experiments, DoE Training, Learn How To Use DoE, Taguchi DOEBryan Len
# What is DOE ?
In general, DOE- Design Of Experiments is an useful problem solving, optimizing and product designing method.
DOE is frequently used for root cause quality analysis, improving for healthy designs. The goal is to produce analytical and mathematical models so that system behavior forecasting can be done.
# Why is DOE essential for engineers?
DOE for engineers to teach you both theory and hands-on requirements necessary to run and execute the DOE.
In a nutshell, through the DOE training course for engineers, you will gain sufficient knowledge and skills on how to design, perform, and analyze experiments in the industrial scales.
Attendees like you will learn the principals of DOE and that how to use it in perfect way.
# Who Should Take DOE Training ?
DOE course is designed for,
Design Engineers & Quality managers
Consultants & SPC coordinators
Quality control technicians
R&D managers, scientists,
Product and process engineers
# Learning Opportunities
In DOE course, all the attendees will gain enough knowledge and expertise about,
DOE running and executing expertise
Using DOE approach to solve problems.
Product designing and optimizing
Analytical and mathematical knowledge
Project quality and efficiency with DOE.
Understand DOE facilities and use.
Many other.
# DOE Course Topics
Here are DOE course topics which can be tailored to meet clients need,
Introduction to Design Of Experiments (DOE)
Making a plan with DOE
Analyzing and problem solving with DOE
Confounding and Taguchi DOE
More.
Want to learn more about DOE ?
Log on to tonex.com for DOE course and workshop detail.
DOE, Design Of Experiments, DoE Training, Learn How To Use DoE, Taguchi DOE
https://www.tonex.com/training-courses/design-of-experiments-training/
The document provides information about quality management interview questions, including sample questions, tips for answering questions, and quality management tools. It lists 86 sample interview questions covering topics like ISO 9001 experience, auditing, quality procedures, metrics, and process quality. Tips include identifying key job tasks and requirements before answering. Quality tools described are check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and more. Additional PDFs on related quality management topics are also listed.
This is chapter 2 of ISTQB Specialist Performance Tester certification. This presentation helps aspirants understand and prepare the content of the certification.
The document discusses reporting test results in software testing. It states that a test log and test incident report are prepared during and after test execution. A test log records events during testing like execution details, procedure results, and anomalous events. A test incident report documents any unexpected or unexplainable incidents that require follow-up. It provides details like a summary, description, impact, and identifiers. A test summary report summarizes the overall testing results and forms part of a project's historical records.
Agile techniques that utilize iterative development are broadly used in various industry projects as a lightweight development technique which can satisfy the continuous changes of requirements. Short repetitions are used that are required for efficient product delivery. Traditional and old software development methods are not much efficient and effective to control the rapid change in requirements. Despite the benefits of Agile, criticism on agile methodology states that it couldn’t succeed to pay attention to architectural and design issues and therefore is bound to produce small design-decisions. The past decade has observed numerous changes in systems development with many organizations accepting agile techniques as a viable methodology for developing systems. An increase in the number of research studies reveals the growing demand and acceptance of agile methodologies. While most research has focused on acceptance rate and adaptation of agile practices, there is very limited knowledge of their post-adoption usage and incorporation within organizations. Several factors explain the effective usage of agile methodologies. A combination of previous research in Agile Methodologies, Diffusion of Innovations, Information Systems implementation, and Systems Development has been carried out to develop a research model that identifies the main factors relevant to the propagation and effective usage of agile methodologies in organizations.
This document outlines an instructor-led presentation on software quality metrics. It introduces the instructor and his relevant experience. It then provides information from attendee feedback on previous sessions, including both positive and negative comments. The presentation agenda is then outlined, with topics like how measurement can help organizations understand, evaluate, and improve their processes. Group exercises are included to discuss defining software quality and examples of metrics used in real life. The presentation also covers best practices for using metrics, different models of software quality, and measuring quality within agile development.
This is the chapter 8 of ISTQB Advance Test Automation Engineer certification. This presentation helps aspirants understand and prepare content of certification.
Programming testing is the stage which makes programming as usable quality
scholarly amount. Programming testing under experiences distinctive stages. The
accompanying stages according to the examination are investigation test, test
arranging, experiment or test information or test condition creation, test execution,
bugs logging, following and test strategy. Past research has been improved the
situation advance test process in nature of programming. All accessible testing forms
incorporate distinctive advancement models and diverse programming testing
procedures are performed. Each organization chooses their testing procedure
dependent on the basic condition of the applications each organization selects their
testing procedure. The security, execution and utilitarian parts are most basic in every
application these are altogether to be tried and carrying on obviously. This paper will
clarify and guaranteeing about programming applications quality to do enhanced
testing forms. The real programming testing systems are Security, Performance and
Functional are handled by Analysis, Preparation and Execution will be finished up.
• Assisted in the development of a new PIM (Powder Injection Molding) process for the manufacturing of
biopsy forceps tips and jaws. This project generated over $1.5 million in cost savings.
The document discusses various types and stages of software testing in the software development lifecycle, including:
1. Component testing, the lowest level of testing done in isolation on individual software modules.
2. Integration testing in small increments to test communication between components and non-functional aspects.
3. System testing to test functional and non-functional requirements at the full system level, often done by an independent test group.
4. The document provides details on planning, techniques, and considerations for each type of testing in the software development and integration process.
Extreme Programming (XP) is an agile methodology widely used for software development. However, XP is not as effective for medium and large projects due to weaknesses like poor documentation and lack of risk awareness. This paper reviews several studies on adapting XP for different project sizes through practices like extended planning, architecture design, and risk management. Case studies show the adapted XP approach can provide benefits to medium and large projects similar to what standard XP delivers for small projects.
This document provides an overview of materials for a software testing course based on the ISTQB Foundation Syllabus 2007. It includes slides covering the main topics in the syllabus such as fundamentals of testing, testing throughout the software lifecycle, static techniques, test design techniques, and test management. The slides are intended to help students understand best practices in software testing and prepare for the ISTQB Foundation exam. Mock exams and exercises are included to help assess students' knowledge as they progress through the course materials.
This document provides a checklist for a Test Manager to manage the testing process. It outlines key tasks organized by project phases including: Planning, Analysis, Design, Development & Testing, and Parallel Run & Deployment. For each phase, it lists tasks, deadlines, and brief descriptions to ensure important responsibilities are completed such as creating test plans, cases, data, tracking bugs, monitoring systems, and managing resources and reports. The goal is to have thorough testing to minimize risks and issues during the project lifecycle.
Quality Management in Software Engineering SE24koolkampus
This document discusses quality management in software development. It covers quality assurance and standards, quality planning, quality control, software measurement and metrics. Quality management aims to ensure the required level of quality is achieved in software products by defining quality standards and procedures and making quality everyone's responsibility. Standards are key to effective quality management as they encapsulate best practices and provide a framework for quality assurance processes. Quality reviews and software measurement are important for quality control.
This document discusses software quality management standards. It defines software quality and explains that standards aim to manage quality and development processes. The document outlines three major standards activities: software quality assurance which establishes organizational procedures; software quality plans which select applicable procedures for a project; and software quality control which ensures procedures are followed. It provides examples of standards organizations and types of standards including quality assurance, project management, system engineering, safety, and product standards. The document also notes some problems with software quality standards.
Presentation on component based software engineering(cbse)Chandan Thakur
The document presents an overview of component based software engineering. It discusses what a component is, the fundamental principles of CBSE, the CBSE development lifecycle, and metrics used in CBSE. Benefits include reduced complexity and development time while difficulties include quality of components and satisfying requirements. CBSE uses pre-built components while traditional SE builds from scratch. Current component technologies discussed are CORBA, COM, EJB, and IDL. Applications of CBSE are in many domains.
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.
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.
The document discusses software quality assurance (SQA) and defines key terms related to quality. It describes SQA as encompassing quality management, software engineering processes, formal reviews, testing strategies, documentation control, and compliance with standards. Specific SQA activities mentioned include developing an SQA plan, participating in process development, auditing work products, and ensuring deviations are addressed. The document also discusses software reviews, inspections, reliability, and the reliability specification process.
This document discusses service-oriented software engineering and RESTful web services. It covers topics like service-oriented architectures, RESTful services, service engineering, and service composition. Key points include that services are reusable components that are loosely coupled and platform independent. Service-oriented approaches allow for opportunistic construction of new services and pay-per-use models. Web services standards like SOAP, WSDL, and WS-BPEL are also discussed. The document provides an example of a service-oriented in-car information system.
Software metric analysis methods for product developmentiaemedu
This document discusses various software metrics and methods for analyzing metrics to improve the software development process. It begins with an introduction to software metrics and their importance for project management. It then describes common software development phases and associated metrics that can be collected at each phase, such as lines of code, defects, and staff hours. The document proceeds to explain different types of charts and diagrams that can be used to analyze and visualize metrics data, including pie charts, Pareto diagrams, histograms, line charts, scatter plots, radar diagrams, and control charts. These various analysis methods help identify problems, determine correlations, and track performance over time in order to control and improve the software development process.
Software process methodologies and a comparative study of various modelsiaemedu
This document provides a summary of different software process methodologies including the waterfall model, iterative model, extreme programming (XP), ISO standards, CMMI, Six Sigma, formal methods, and agile model. It compares these methods and discusses where each is best applied based on factors like project type, risk, and industry. The waterfall model is described as the traditional sequential approach while agile methods embrace adaptive planning and iterative development.
Bca 5th sem seminar(software measurements)MuskanSony
This document discusses software measurement and different types of metrics. It covers size-oriented metrics like lines of code, function-oriented metrics like function points that measure functionality, and extended function point metrics. Software measurement provides quantitative attributes of software products and processes to assess quality and assist with project management decisions. Measures can be direct, measured from the project itself, or indirect, where attributes are not immediately quantifiable.
Syed Zaffar Iqbal, Prof. Urwa Javed and Dr. Shakeel Ahmed Roshan. Department of Computer Science, Alhamd Islamic University, Pakistan. “Software Quality Assurance Model for Software Excellence with Its Requirements” United International Journal for Research & Technology (UIJRT) 1.1 (2019): 39-43.
A Guideline Tool for Ongoing Product Evaluation in Small and Medium-Sized Ent...IJECEIAES
As consumer demand for user friendly software increases, usability evaluation is crucial to develop software systems which are easy to learn and use. However, implementation of usability evaluation is challenging for small and medium-sized enterprises (SMEs) due to factors such as lack of technical expertise, knowledge and experience of methods and standards. This results in neglect, or poorly executed evaluations of projects, resulting in software that disappoints and frustrates clients. To overcome this loss of competitiveness, we propose here a visual incorporation tool derived from ISO standards that would assist software development teams in SMEs in understanding and implementing usability evaluations. It shows fundamental Usability Engineering (UE) and Software Engineering (SE) activities and artifacts relevant to the usability evaluation and software development process, with potential incorporation points being highlighted. Dependencies and relationships are shown by links between activities and artifacts. Additionally, convergent artifacts of both disciplines were identified and shown. Evaluation of the proposed tool was based on the questionnaire results of software development practitioners from SMEs.
Software testing for project report .pdfKamal Acharya
Methods of Software Testing There are two basic methods of performing software testing: 1. Manual testing 2. Automated testing Manual Software Testing As the name would imply, manual software testing is the process of an individual or individuals manually testing software. This can take the form of navigating user interfaces, submitting information, or even trying to hack the software or underlying database. As one might presume, manual software testing is labor-intensive and slow.
CRJS466 – Psychopathology and CriminalityUnit 5 Individual Proje.docxfaithxdunce63732
CRJS466 – Psychopathology and Criminality
Unit 5 Individual Project Grading Criteria
(125 points)
Content (75 points):
Question 1 (20 points)
Question 2 (20 points)
Question 3 (15 points)
Question 4 (20 points)
Organization (25 points):
Clarity and conciseness of thought, minimum page length
APA Formatting (12.5 points):
Title page with Running head, page numbers, 12-pt. Times New Roman or
Arial font, 1” margins, spacing, in-text citations, and References (minimum of
three peer-reviewed, scholarly sources)
Mechanics (12.5 points):
Grammar, spelling/word usage, punctuation
______________________________________________________________________
For the Unit 5 IP, below are the specific questions and my expectations:
In a 3–5 page position paper, respond to the following:
(1) Articulate the mental disorder being considered by the court in the case that you selected, and why this disorder would make the defendant unfit for trial.
**Based on information and knowledge gathered from the DSM-IV-TR or DSM-5, course text, Live Chats, Learning Materials, and other peer-reviewed/scholarly sources, determine ONE possible mental disorder being considered. Discuss your rationale as to why you selected the diagnosis for this particular case. Before choosing a disorder, think about the defendant's mental status, including appearance, attitude, behavior, mood and affect, speech, thought process, thought content, perception, cognition, insight, and judgment.
(2) Explain the relationship between the actions and behavior that would cause the court to remand the defendant for a mental evaluation.
**Address the association between the actions or offenses of the defendant and the mental disorder associated with the offense.
(3) Evaluate the outcome of the case you selected in terms of the defendant, the victim, and the community.
**Identify the impact of the trial’s outcome on the community, the victim, and the defendant.
(4) Critique and assess the court’s decision in the case you selected. Choose ONE of the following:
(a) Support the court’s correct decision.
**Discuss why you support (agree with) the court's decision. Explain your rationale.
(b) Challenge the court’s decision with your supported reasons.
**Discuss why you challenge (disagree with) the court's decision. Explain your rationale.
SWE440-1402A-01
Software Project Management
Project Plan
27 April 2014
Content
Page
1)Project Description and Methodology
3-6
2)Project Plan Outline
7-8
3)ISO & IEEE Standard
9-11
4)Configuration Management
12-16
5)Defect Tracking
17
6)Risk Management
19-22
7) Final Project Report
23
8)References
24
Project Description and Methodology
The IT ecosystem of financial services institutions faces many challenges in aligning business needs with IT solutions which generally.
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
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.
This document summarizes the key phases in planning a software project:
1) Planning is the most important phase and involves estimating effort, schedules, resources, and risks. It defines goals for costs, timelines and quality.
2) Process planning defines the development stages and activities. It may modify established models to suit a project's needs.
3) Effort estimation predicts the time and costs required, and is needed for budgets, monitoring, and contracting. Estimates are most accurate after requirements are defined.
How Quality Assurance is Important in Development Life Cycleijtsrd
In recent days the requirement of quality has grown up universally. Away back, quality culture was practiced only by software industries, today it has also been embraced by companies using technology in their internal projects. The project should not be risked due to contingency and advancement that may come along the way. This is one of the precepts of software quality. Capacity development are imminent, but must be planned for another sprint, unless there is an urgent need on the part of the customer. The software architecture must adhere to the specified requirements. It can be innovative, lasting and still try to solve, not only the predicted problems, but also the unforeseen ones. It is at this point that the development team must glimpse what is really desired and not just what was asked for. One of the biggest causes of failure in software projects is lack of scope. In the eagerness to start work soon, the scope definition phase is reduced to the extreme. The result of this is a large number of corrections made during a sprint for a feature that was not properly planned. Aayush Tiwari "How Quality Assurance is Important in Development Life Cycle" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31580.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/31580/how-quality-assurance-is-important-in-development-life-cycle/aayush-tiwari
Integrated Analysis of Traditional Requirements Engineering Process with Agil...zillesubhan
In the past few years, agile software development approach has emerged as a most attractive software development approach. A typical CASE environment consists of a number of CASE tools operating on a common hardware and software platform and note that there are a number of different classes of users of a CASE environment. In fact, some users such as software developers and managers wish to make use of CASE tools to support them in developing application systems and monitoring the progress of a project. This development approach has quickly caught the attention of a large number of software development firms. However, this approach particularly pays attention to development side of software development project while neglects critical aspects of requirements engineering process. In fact, there is no standard requirement engineering process in this approach and requirements engineering activities vary from situation to situation. As a result, there emerge a large number of problems which can lead the software development projects to failure. One of major drawbacks of agile approach is that it is suitable for small size projects with limited team size. Hence, it cannot be adopted for large size projects. We claim that this approach can be used for large size projects if traditional requirements engineering approach is combined with agile manifesto. In fact, the combination of traditional requirements engineering process and agile manifesto can also help resolve a large number of problems exist in agile development methodologies. As in software development the most important thing is to know the clear customer’s requirements and also through modeling (data modeling, functional modeling, behavior modeling). Using UML we are able to build efficient system starting from scratch towards the desired goal. Through UML we start from abstract model and develop the required system through going in details with different UML diagrams. Each UML diagram serves different goal towards implementing a whole project.
Software quality metrics provide important insights into software testing efforts and processes. They can help evaluate products and processes against goals, control resources, and predict future attributes. There are three categories of metrics: process, product, and project. Process metrics measure testing efficiency and effectiveness. Product metrics depict product characteristics like size and quality. Project metrics measure schedule, cost, productivity, and code quality. Choosing metrics based on organizational goals and providing feedback are best practices for an effective metrics program.
The document discusses software engineering and provides an overview of key concepts. It defines software engineering and discusses its need. It describes characteristics of good software and lists factors like operational, transitional, and maintenance characteristics. It also covers software development life cycles and models like the classical waterfall model. The classical waterfall model divides the life cycle into phases like feasibility study, requirements analysis, design, coding/unit testing, and integration/system testing.
DESQA a Software Quality Assurance FrameworkIJERA Editor
In current software development lifecycles of heterogeneous environments, the pitfalls businesses have to face are that software defect tracking, measurements and quality assurance do not start early enough in the development process. In fact the cost of fixing a defect in a production environment is much higher than in the initial phases of the Software Development Life Cycle (SDLC) which is particularly true for Service Oriented Architecture (SOA). Thus the aim of this study is to develop a new framework for defect tracking and detection and quality estimation for early stages particularly for the design stage of the SDLC. Part of the objectives of this work is to conceptualize, borrow and customize from known frameworks, such as object-oriented programming to build a solid framework using automated rule based intelligent mechanisms to detect and classify defects in software design of SOA. The implementation part demonstrated how the framework can predict the quality level of the designed software. The results showed a good level of quality estimation can be achieved based on the number of design attributes, the number of quality attributes and the number of SOA Design Defects. Assessment shows that metrics provide guidelines to indicate the progress that a software system has made and the quality of design. Using these guidelines, we can develop more usable and maintainable software systems to fulfill the demand of efficient systems for software applications. Another valuable result coming from this study is that developers are trying to keep backwards compatibility when they introduce new functionality. Sometimes, in the same newly-introduced elements developers perform necessary breaking changes in future versions. In that way they give time to their clients to adapt their systems. This is a very valuable practice for the developers because they have more time to assess the quality of their software before releasing it. Other improvements in this research include investigation of other design attributes and SOA Design Defects which can be computed in extending the tests we performed.
A Systematic Review On Software Cost Estimation In Agile Software DevelopmentBrooke Heidt
This document provides a summary of a systematic literature review on software cost estimation techniques for agile software development. It discusses the challenges of cost estimation for agile projects due to their dynamic nature. The review examines various cost estimation mechanisms that have been explored for agile methodologies and compares their accuracy based on parameters like magnitude of relative error, mean magnitude of relative error, and others. It aims to help agile practitioners understand current trends in cost estimation and determine which techniques may be suitable given different project circumstances.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The document summarizes three primary sources of guidance for software and systems measurement processes: ISO/IEC 15939, the Practical Software and Systems Measurement (PSM) Guidebook, and the Capability Maturity Model Integrated (CMMi). ISO/IEC 15939 defines a standard measurement process and information model. The PSM Guidebook provides practical guidance for implementing measurement tailored to specific needs. The CMMi emphasizes using measurement to plan, monitor, control and improve processes and includes measurement and analysis as a key support process area.
This document provides proposed performance metrics for IT projects at the VA at the project level. It includes over 30 proposed metrics across 12 categories that characterize factors like schedule deviation, errors saved, earned value, hiring time, contracting time, administrative time, team readiness, risk control, scope control, integration readiness, reusability compliance, and organizational maturity. The metrics are intended to help control performance, build a sustainable performance environment, and support an analytic performance culture.
Similar to Software process and product quality assurance in it organizations (20)
Tech transfer making it as a risk free approach in pharmaceutical and biotech iniaemedu
Tech transfer is a common methodology for transferring new products or an existing
commercial product to R&D or to another manufacturing site. Transferring product knowledge to the
manufacturing floor is crucial and it is an ongoing approach in the pharmaceutical and biotech
industry. Without adopting this process, no company can manufacture its niche products, let alone
market them. Technology transfer is a complicated, process because it is highly cross functional. Due
to its cross functional dependence, these projects face numerous risks and failure. If anidea cannot be
successfully brought out in the form of a product, there is no customer benefit, or satisfaction.
Moreover, high emphasis is in sustaining manufacturing with highest quality each and every time. It
is vital that tech transfer projects need to be executed flawlessly. To accomplish this goal, risk
management is crucial and project team needs to use the risk management approach seamlessly.
Integration of feature sets with machine learning techniquesiaemedu
This document summarizes a research paper that proposes a novel approach for spam filtering using selective feature sets combined with machine learning techniques. The paper presents an algorithm and system architecture that extracts feature sets from emails and uses machine learning to classify emails and generate rules to identify spam. Several metrics are identified to evaluate the efficiency of the feature sets, including false positive rate. An experiment is described that uses keyword lists as feature sets to train filters and compares the proposed approach to other spam filtering methods.
Effective broadcasting in mobile ad hoc networks using gridiaemedu
This document summarizes a research paper that proposes a new grid-based broadcasting mechanism for mobile ad hoc networks. The paper argues that flooding approaches to broadcasting are inefficient and cause network congestion. The proposed approach divides the network into a hierarchical grid structure. When a node needs to broadcast a message, it sends the message to the first node in the appropriate grid, which is then responsible for updating and forwarding the message within that grid. Simulation results showed the grid-based approach outperformed other broadcasting protocols and was more reliable, efficient and scalable.
Effect of scenario environment on the performance of mane ts routingiaemedu
The document analyzes the effect of scenario environment on the performance of the AODV routing protocol in mobile ad hoc networks (MANETs). It studies AODV performance under different scenarios varying network size, maximum node speed, and pause time. The performance is evaluated based on packet delivery ratio, throughput, and end-to-end delay. The results show that AODV performs best in some scenarios and worse in others, indicating that scenario parameters significantly impact routing protocol performance in MANETs.
Adaptive job scheduling with load balancing for workflow applicationiaemedu
This document discusses adaptive job scheduling with load balancing for workflow applications in a grid platform. It begins with an abstract that describes grid computing and how scheduling plays a key role in performance for grid workflow applications. Both static and dynamic scheduling strategies are discussed, but they require high scheduling costs and may not produce good schedules. The paper then proposes a novel semi-dynamic algorithm that allows the schedule to adapt to changes in the dynamic grid environment through both static and dynamic scheduling. Load balancing is incorporated to handle situations where jobs are delayed due to resource fluctuations or overloading of processors. The rest of the paper outlines the related works, proposed scheduling algorithm, system model, and evaluation of the approach.
This document summarizes research on transaction reordering techniques. It discusses transaction reordering approaches based on reducing resource conflicts and increasing resource sharing. Specifically, it covers:
1) A "steal-on-abort" technique that reorders an aborted transaction behind the transaction that caused the abort to avoid repeated conflicts.
2) A replication protocol that attempts to reorder transactions during certification to avoid aborts rather than restarting immediately.
3) Transaction reordering and grouping during continuous data loading to prevent deadlocks when loading data for materialized join views.
The document discusses semantic web services and their challenges. It provides an overview of semantic web technologies like WSDL, SOAP, UDDI, and OIL which are used to build semantic web services. The semantic web architecture adds semantics to web services through ontologies written in OWL and DAML+OIL. Key approaches to semantic web services include annotation, composition, and addressing privacy and security. However, semantic web services still face challenges in achieving their full potential due to issues in representation, reasoning, and a lack of real-world applications and data.
Website based patent information searching mechanismiaemedu
This document summarizes a research paper on developing a website-based patent information searching mechanism. It discusses how patent information can be used for technology development, rights acquisition and utilization, and management information. It describes different types of patent searches including novelty, validity, infringement, and state-of-the-art searches. It also evaluates and compares two major patent websites, Delphion and USPTO, in terms of their search capabilities and features.
Revisiting the experiment on detecting of replay and message modificationiaemedu
This document summarizes a research paper that proposes methods for detecting message modification and replay attacks in ad-hoc wireless networks. It begins with background on security issues in wireless networks and types of attacks. It then reviews existing intrusion detection systems and security techniques. Related work that detects attacks using features from the media access control layer or radio frequency fingerprinting is also discussed. The paper aims to present a simple, economical, and platform-independent system for detecting message modification, replay attacks, and unauthorized users in ad-hoc networks.
1) The document discusses the Cyclic Model Analysis (CMA) technique for sequential pattern mining which aims to predict customer purchasing behavior.
2) CMA calculates the Trend Distribution Function from sequential patterns to model purchasing trends over time. It then uses Generalized Periodicity Detection and Trend Modeling to identify periodic patterns and construct an approximating model.
3) The Cyclic Model Analysis algorithm is applied to further analyze the patterns, dividing the domain into segments where the distribution function is increasing or decreasing and applying the other techniques recursively to fully model the cyclic behavior.
Performance analysis of manet routing protocol in presenceiaemedu
This document analyzes the performance of different routing protocols in a mobile ad hoc network (MANET) under hybrid traffic conditions. It simulates a MANET with 50 nodes moving at speeds up to 20 m/s using the AODV, DSDV, and DSR routing protocols. Traffic included both constant bit rate and variable bit rate sources. Results found that AODV had lower average end-to-end delay and higher packet delivery ratios than DSDV and DSR as the percentage of variable bit rate traffic increased. AODV also performed comparably under both low and high node mobility scenarios with hybrid traffic.
Performance measurement of different requirements engineeringiaemedu
This document summarizes a research paper that compares the performance of different requirements engineering (RE) process models. It describes three RE process models - two existing linear models and the authors' iterative model. It also reviews literature on common RE activities and issues with descriptive models not reflecting real-world practices. The authors conducted interviews at two Indian companies to model their RE processes and compare them to the three models. They found the existing linear models did not fully capture the iterative nature of observed RE processes.
This document proposes a mobile safety system for automobiles that uses Android operating system. The system has two main components: a safety device and an automobile base unit. The safety device allows users to monitor the vehicle's location on a map, check its status, and control functions remotely. It communicates with the base unit in the vehicle using GPRS. The base unit collects data from sensors, determines the vehicle's GPS location, and can execute control commands like activating the brakes or switching off the engine. The document provides details on the design and algorithms of both components and includes examples of Java code implementation. The goal is to create an intelligent, secure and easy-to-use mobile safety system for vehicles using embedded systems and Android
Efficient text compression using special character replacementiaemedu
The document describes a proposed algorithm for efficient text compression using special character replacement and space removal. The algorithm replaces words with non-printable ASCII characters or combinations of characters to compress text files. It uses a dynamic dictionary to map words to their symbols. Spaces are removed from the compressed file in some cases to further reduce file size. Experimental results show the algorithm achieves better compression ratios than LZW, WinZip 10.0 and WinRAR 3.93 for various text file types while allowing lossless decompression.
The document discusses agile programming and proposes a new methodology. It provides an overview of existing agile methodologies like Scrum and Extreme Programming. Scrum uses short sprints to define tasks and deadlines. Extreme Programming focuses on practices like test-first development, pair programming, and continuous integration. The document notes drawbacks like an inability to support large or multi-site projects. It proposes designing a new methodology that combines the advantages of existing methods while overcoming their deficiencies.
Adaptive load balancing techniques in global scale grid environmentiaemedu
The document discusses various adaptive load balancing techniques for distributed applications in grid environments. It first describes adaptive mesh refinement algorithms that partition computational domains using space-filling curves or by distributing grids independently or at different levels. It also discusses dynamic load balancing using tiling and multi-criteria geometric partitioning. The document then covers repartitioning algorithms based on multilevel diffusion and the adaptive characteristics of structured adaptive mesh refinement applications. Finally, it discusses adaptive workload balancing on heterogeneous resources by benchmarking resource characteristics and estimating application parameters to find optimal load distribution.
A survey on the performance of job scheduling in workflow applicationiaemedu
This document summarizes a survey on job scheduling performance in workflow applications on grid platforms. It discusses an adaptive dual objective scheduling (ADOS) algorithm that takes both completion time and resource usage into account for measuring schedule performance. The study shows ADOS delivers good performance in completion time, resource usage, and robustness to changes in resource performance. It also describes the system architecture used, which includes a planner and executor component. The planner focuses on scheduling to minimize completion time while considering resource usage, and can reschedule if needed. The executor enacts the schedule on the grid resources.
A survey of mitigating routing misbehavior in mobile ad hoc networksiaemedu
This document summarizes existing methods to detect misbehavior in mobile ad hoc networks (MANETs). It discusses how routing protocols assume nodes will cooperate fully, but misbehavior like packet dropping can occur. It describes several techniques to detect misbehavior, including watchdog, ACK/SACK, TWOACK, S-TWOACK, and credit-based/reputation-based schemes. Credit-based schemes use virtual currencies to provide incentives for nodes to forward packets, while reputation-based schemes track nodes' past behaviors. The document aims to survey approaches for mitigating the impact of misbehaving nodes in MANET routing.
A novel approach for satellite imagery storage by classifyiaemedu
This document presents a novel approach for classifying and storing satellite imagery by detecting and storing only non-duplicate regions. It uses kernel principal component analysis to reduce the dimensionality and extract features of satellite images. Fuzzy N-means clustering is then used to segment the images into blocks. A duplication detection algorithm compares blocks to identify duplicate and non-duplicate regions. Only the non-duplicate regions are stored in the database, improving storage efficiency and updating speed compared to completely replacing existing images. Support vector machines are used to categorize the non-duplicate blocks into the appropriate classes in the existing images.
A self recovery approach using halftone images for medical imageryiaemedu
This document summarizes a proposed approach for securely transferring medical images over the internet using visual cryptography and halftone images. The approach uses error diffusion techniques to generate a halftone host image from the grayscale medical image. Shadow images are then created from the halftone host image using visual cryptography algorithms. When stacked together, the shadow images reveal the secret medical image. The halftone host image also contains an embedded logo that can be extracted to verify the integrity of the reconstructed image without a trusted third party.