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.
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.
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.
ECONOMIC OUTPUT UNDER THE CONDITIONS OF SOCIAL FREEDOM IN SOFTWARE DEVELOPMENTijseajournal
Software developers organize their work autonomously. Agile development approaches give freedom to developers. However, the discussion about economy often leads to the comparison with manu-facturing processes which are tightly organised. If developers spend too much time on inefficient activities, the performance might decrease. The worst example could be breaks. Breaks could be seen as a reason for
economic problems by the management. This paper investigates the impact of breaks on the overall performance in software development. The investigations assume that if developers make pauses in a normal manner, this has not a negative impact on the profitability. In practice, the human-centric development process brings together a business process and a social process. The interaction of both processes was simulated. Due to the execution of 1.500 simulations, we obtained information on the economic progression of the development process under the influence of
breaks. We determined the impact of breaks on the overall profitability. This investigation contributes to the discussion of freedom in software development. It helps man-agers to
assess if employees who make breaks harm the profitability. This could lead to the imple-mentation of further business constraints.
Defect effort prediction models in software maintenance projectsiaemedu
The document discusses models for predicting defects in software maintenance projects. It describes how data on defects found during testing is recorded and used by reliability models to predict remaining defects. The paper proposes exploring defect data through appropriate statistics and predictive models like decision trees and Naive Bayes classifiers. It outlines steps for analyzing defect data with statistics to gain insights, including using ratios of defects found before and after release to assess quality. Graphs are suggested to examine the impact of previous releases on current release quality.
The document provides an introduction to software engineering. It discusses that software has a dual role as both a product and vehicle to deliver functionality. It defines software as a set of programs, documents, and data that form a configuration. The document outlines different types of software applications and categories. It also discusses software engineering practices such as communication, planning, modeling, construction, and coding principles.
SECURITY FOR DEVOPS DEPLOYMENT PROCESSES: DEFENSES, RISKS, RESEARCH DIRECTIONSijseajournal
DevOps is an emerging collection of software management practices intended to shorten time to market for
new software features and to reduce the risk of costly deployment errors. In this paper we examine the security implications of two of the key DevOps practices, automation of the deployment pipeline using a deployment toolchain and infrastructure-as-code to specify the environment of the eployed software. We focus on identifying what changes when an organization moves from manual deployments to DevOps
automated deployment processes.We reviewed the literature and conducted three case studies using simple configurations of common DevOps tools. This allowed us to identify specific:
• Positive influences on security where automation enhances defenses.
• Negative influences, where automation enables different kinds of attacks and increases the attack
surface.
• Research directions that look promising to support this new approach to software management.
• Recommendations for DevOps adopters
Requirements engineering involves discovering, documenting, and maintaining system requirements. It is important but difficult due to changing stakeholder needs and environments. The document discusses the requirements engineering process, problems that can occur, and challenges like globalization and accelerated development that will require requirements engineering to evolve.
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.
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.
ECONOMIC OUTPUT UNDER THE CONDITIONS OF SOCIAL FREEDOM IN SOFTWARE DEVELOPMENTijseajournal
Software developers organize their work autonomously. Agile development approaches give freedom to developers. However, the discussion about economy often leads to the comparison with manu-facturing processes which are tightly organised. If developers spend too much time on inefficient activities, the performance might decrease. The worst example could be breaks. Breaks could be seen as a reason for
economic problems by the management. This paper investigates the impact of breaks on the overall performance in software development. The investigations assume that if developers make pauses in a normal manner, this has not a negative impact on the profitability. In practice, the human-centric development process brings together a business process and a social process. The interaction of both processes was simulated. Due to the execution of 1.500 simulations, we obtained information on the economic progression of the development process under the influence of
breaks. We determined the impact of breaks on the overall profitability. This investigation contributes to the discussion of freedom in software development. It helps man-agers to
assess if employees who make breaks harm the profitability. This could lead to the imple-mentation of further business constraints.
Defect effort prediction models in software maintenance projectsiaemedu
The document discusses models for predicting defects in software maintenance projects. It describes how data on defects found during testing is recorded and used by reliability models to predict remaining defects. The paper proposes exploring defect data through appropriate statistics and predictive models like decision trees and Naive Bayes classifiers. It outlines steps for analyzing defect data with statistics to gain insights, including using ratios of defects found before and after release to assess quality. Graphs are suggested to examine the impact of previous releases on current release quality.
The document provides an introduction to software engineering. It discusses that software has a dual role as both a product and vehicle to deliver functionality. It defines software as a set of programs, documents, and data that form a configuration. The document outlines different types of software applications and categories. It also discusses software engineering practices such as communication, planning, modeling, construction, and coding principles.
SECURITY FOR DEVOPS DEPLOYMENT PROCESSES: DEFENSES, RISKS, RESEARCH DIRECTIONSijseajournal
DevOps is an emerging collection of software management practices intended to shorten time to market for
new software features and to reduce the risk of costly deployment errors. In this paper we examine the security implications of two of the key DevOps practices, automation of the deployment pipeline using a deployment toolchain and infrastructure-as-code to specify the environment of the eployed software. We focus on identifying what changes when an organization moves from manual deployments to DevOps
automated deployment processes.We reviewed the literature and conducted three case studies using simple configurations of common DevOps tools. This allowed us to identify specific:
• Positive influences on security where automation enhances defenses.
• Negative influences, where automation enables different kinds of attacks and increases the attack
surface.
• Research directions that look promising to support this new approach to software management.
• Recommendations for DevOps adopters
Requirements engineering involves discovering, documenting, and maintaining system requirements. It is important but difficult due to changing stakeholder needs and environments. The document discusses the requirements engineering process, problems that can occur, and challenges like globalization and accelerated development that will require requirements engineering to evolve.
This document provides an introduction to software engineering. It defines software engineering as the systematic application of engineering principles to software development, maintenance, and operation. The document discusses key questions about software engineering, including what it is, how it differs from computer science and systems engineering, the "software crisis" involving cost overruns and defects, and attributes of good software like maintainability and dependability. It also covers software engineering processes, methods, costs, and challenges.
Defect Prevention Based on 5 Dimensions of Defect Originijseajournal
Discovering the unexpected is more important than confirming the known [7]. In software development,
the “unexpected” one relates to defects. These defects when unattended would cause failure to the product
and risk to the users. The increasing dependency of society on software and the crucial consequences that a
failure can cause requires the need to find out the defects at the origin itself. Based on the lessons learnt
from the earlier set of projects, a defect framework highlighting the 5 Dimensions (Ds) of defect origin is
proposed in this work. The defect framework is based on analyzing the defects that had emerged from
various stages of software development like Requirements, Design, Coding, Testing and Timeline (defects
due to lack of time during development). This study is not limited to just identifying the origin of defects at
various phases of software development but also finds out the reasons for such defects, and defect
preventive (DP) measures are proposed for each type of defect. This work can help practitioners choose
effective defect avoidance measures.
In addition to arriving at defect framework, this work also proposes a defect injection metric based on
severity of the defect rather than just defect count, which gives the number of adjusted defects produced by
a project at various phases. The defect injection metric value, once calculated, serves as a yardstick to
make a comparison in the improvements made in the software process development between similar set of
projects.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Agile software development and challengeseSAT Journals
Abstract Loyal and steady customer base alone can keep the organizations successful in the current turbulent business environment. In the current era of software engineering, the success of a business process is measured in terms of „customer satisfaction‟ rather than any other criteria like meeting deadlines for delivery, optimization of data, architecture etc. Day by day, customers are turning out to be more demanding, as their expectations from the software are growing. In order to achieve customer satisfaction in a meaningful way, software engineers are looking for more effective development models. “Agile” is one such model, that fits the bill and therefore industry is looking at with interest .Is agile better than traditional waterfall model will agile work effectively with distributed teams which is most common in the current software engineering Phenomenon. This paper highlights a few challenges with Agile->scrum and gives an insight to the user whether the agile is THE SILVER BULLET . Index Terms: waterfall, Agile, Scrum, XP, distributed teams
Software Engineering is the set of processes and tools to develop software. Software Engineering is the combination of all the tools, techniques, and processes that used in software production. Therefore Software Engineering encompasses all those things that are used in software production like :
Programming Language
Programming Language Design
Software Design Techniques
Tools
Testing
Maintenance
Development etc.
These days object-oriented programming is widely being used. If programming languages will not support object-orientation then it will be very difficult to implement object-oriented design using object-oriented principles. All these efforts made the basis of software engineering.
This document summarizes common software myths and realities. It discusses six myths: 1) that standards and procedures are enough to produce good programs, 2) that new hardware ensures good software, 3) that adding programmers to a late project finishes it on time, 4) that general objectives are enough to begin programming, 5) that software is flexible enough to handle continuous changes, and 6) that the job is done once a program works. For each, it provides the reality, such as that people don't always follow standards, tools are more important than hardware, adding people makes projects later, detailed requirements are needed upfront, changes are costly, and 50-70% of effort is post-delivery including documentation.
The document provides an introduction to software engineering concepts. It discusses how software engineering aims to develop reliable software products using well-defined scientific principles and methods. It covers software evolution, different software paradigms including development, design and programming paradigms. It also discusses different software life cycle models like waterfall, incremental, prototyping and spiral models. Finally, it talks about characteristics of good software products and causes of software crisis.
This document introduces software engineering and discusses its importance. It explains that software engineering is concerned with the theories, methods and tools for professional software development. The document outlines key topics that will be covered, such as frequently asked questions about software engineering, professional and ethical responsibilities, and the costs associated with software engineering. It also discusses challenges facing the field like coping with legacy systems and demands for faster delivery.
This document provides an introduction to software engineering. It discusses why software engineering is needed due to the bitter reality that many software projects fail or do not meet requirements. Common reasons for failure include unclear requirements, unrealistic schedules and budgets, and weak communication between project stakeholders. The document introduces key aspects of software engineering including defined processes, documentation, and use of methods to improve communication and management of software projects. Finally, it discusses factors for successful projects including clear goals, user involvement, tools and qualified team members.
The document summarizes key concepts in software engineering:
1. It discusses several software process models including waterfall, evolutionary development, formal transformation, and reuse-based development. These models describe different approaches to organizing the software development process.
2. It also covers software lifecycle phases like requirements, design, implementation, testing, and evolution. Activities within each phase are outlined.
3. Automated tools and techniques for supporting the software engineering process are introduced, categorized by the type of support they provide for different process activities.
This document provides an introduction to software engineering. It discusses how software engineering is concerned with the development and maintenance of software through professional practices and methods. It notes that software costs, especially maintenance costs, are a large part of overall system costs. The document then discusses different types of software products and specifications, as well as frequently asked questions about software engineering. It emphasizes that software engineering principles should be applied to all types of software development.
This document provides an overview of software engineering. It defines software engineering as an engineering discipline concerned with all aspects of software production. It discusses how the economies of developed nations depend on software and how software costs, including maintenance, often exceed development costs. It also summarizes common software processes, the differences between software, computer science and systems engineering, attributes of good software, and the role of computer-aided software engineering tools.
A Combined Approach of Software Metrics and Software Fault Analysis to Estima...IOSR Journals
The document presents a software fault prediction model that uses reliability relevant software metrics and a fuzzy inference system. It proposes predicting fault density at each phase of development using relevant metrics for that phase. Requirements metrics like complexity, stability and reviews are used to predict fault density after requirements. Design, coding and testing metrics are similarly used to predict fault densities after their respective phases. The model aims to enable early identification of quality issues and optimal resource allocation to improve reliability. MATLAB is used to define fault parameters, categories, fuzzy rules and analyze results. The goal is a multistage fault prediction model for more reliable software delivery.
The key to successful testing is effective and timely planning. Rick Craig introduces proven test planning methods and techniques, including the Master Test Plan and level-specific test plans for acceptance, system, integration, and unit testing. Rick explains how to customize an IEEE-829-style test plan and test summary report to fit your organization’s needs. Learn how to manage test activities, estimate test efforts, and achieve buy-in. Discover a practical risk analysis technique to prioritize your testing and become more effective with limited resources. Rick offers test measurement and reporting recommendations for monitoring the testing process. Discover new methods and develop renewed energy for taking your organization’s test management to the next level.
This document provides an overview of software engineering. It begins by defining software engineering as the application of engineering principles and methods to the development of software. It then discusses some key aspects of software engineering like the software development life cycle, software project management, and paradigms. Finally, it outlines some important characteristics of good software like usability, efficiency, correctness, portability and maintainability.
The document introduces software engineering and discusses its objectives, topics covered, and key concepts. It aims to define software engineering, explain why it is important, and introduce professional responsibilities. Some key points covered include defining software and the software engineering process, discussing costs and challenges, and introducing ethics codes.
Software FMEA and Software FTA – An Effective Tool for Embedded Software Qual...Mahindra Satyam
The document discusses software FMEA (Failure Mode and Effects Analysis) and FTA (Fault Tree Analysis) as effective tools for embedded software quality assurance. Software FTA involves identifying potential failures and their causes by logically connecting software components to undesired events. Software FMEA examines failures at the functional and variable levels. The analyses help identify weaknesses, critical variables, and protections needed. The results provide inputs for testing and help reduce risks for safety-critical systems.
Tue
Wed
Thu
Fri
The document discusses agile software development methodologies and Scrum in particular. It defines agile as iterative and incremental development that promotes adaptive planning, evolutionary development and delivery. Scrum is introduced as an agile process that focuses on delivering the highest business value in the shortest time through short iterative sprints with working software delivered at the end of each sprint. Key Scrum roles, ceremonies, and artifacts like product backlog, sprint backlog, and burn down charts are described.
This document provides an overview of software engineering concepts covered in lecture notes. It discusses the software development life cycle (SDLC) which includes key stages like requirements gathering, design, coding, testing, integration and maintenance. The SDLC framework aims to develop software efficiently using a well-defined process. Software engineering principles like abstraction and decomposition are used to reduce complexity when developing large programs.
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.
A study on the presence of fecal pollution indicatoriaemedu
This document summarizes a study on the presence of fecal indicator bacteria in Muttukadu back waters in Tamil Nadu, India. Water samples were collected during pre-monsoon, monsoon, and post-monsoon seasons and tested for fecal coliforms using multiple tube fermentation and membrane filtration techniques. Analysis found higher numbers of fecal coliforms during the monsoon season, followed by post-monsoon, and lower numbers in pre-monsoon. Escherichia coli was identified as the dominant fecal indicator present throughout the year, indicating sewage contamination of the water body poses a health risk especially during monsoons.
Knowledge management strategies in higher educationiaemedu
The document discusses knowledge management strategies in higher education. It begins by explaining the concepts of explicit and implicit knowledge and how knowledge works in higher education. It then discusses trends in knowledge management practices for higher education, including leveraging knowledge to enhance innovation and convergence with research. Finally, it proposes technology solutions like university portals that can integrate tools and resources to improve knowledge sharing and exchange among faculty and students across campuses.
This document provides an introduction to software engineering. It defines software engineering as the systematic application of engineering principles to software development, maintenance, and operation. The document discusses key questions about software engineering, including what it is, how it differs from computer science and systems engineering, the "software crisis" involving cost overruns and defects, and attributes of good software like maintainability and dependability. It also covers software engineering processes, methods, costs, and challenges.
Defect Prevention Based on 5 Dimensions of Defect Originijseajournal
Discovering the unexpected is more important than confirming the known [7]. In software development,
the “unexpected” one relates to defects. These defects when unattended would cause failure to the product
and risk to the users. The increasing dependency of society on software and the crucial consequences that a
failure can cause requires the need to find out the defects at the origin itself. Based on the lessons learnt
from the earlier set of projects, a defect framework highlighting the 5 Dimensions (Ds) of defect origin is
proposed in this work. The defect framework is based on analyzing the defects that had emerged from
various stages of software development like Requirements, Design, Coding, Testing and Timeline (defects
due to lack of time during development). This study is not limited to just identifying the origin of defects at
various phases of software development but also finds out the reasons for such defects, and defect
preventive (DP) measures are proposed for each type of defect. This work can help practitioners choose
effective defect avoidance measures.
In addition to arriving at defect framework, this work also proposes a defect injection metric based on
severity of the defect rather than just defect count, which gives the number of adjusted defects produced by
a project at various phases. The defect injection metric value, once calculated, serves as a yardstick to
make a comparison in the improvements made in the software process development between similar set of
projects.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Agile software development and challengeseSAT Journals
Abstract Loyal and steady customer base alone can keep the organizations successful in the current turbulent business environment. In the current era of software engineering, the success of a business process is measured in terms of „customer satisfaction‟ rather than any other criteria like meeting deadlines for delivery, optimization of data, architecture etc. Day by day, customers are turning out to be more demanding, as their expectations from the software are growing. In order to achieve customer satisfaction in a meaningful way, software engineers are looking for more effective development models. “Agile” is one such model, that fits the bill and therefore industry is looking at with interest .Is agile better than traditional waterfall model will agile work effectively with distributed teams which is most common in the current software engineering Phenomenon. This paper highlights a few challenges with Agile->scrum and gives an insight to the user whether the agile is THE SILVER BULLET . Index Terms: waterfall, Agile, Scrum, XP, distributed teams
Software Engineering is the set of processes and tools to develop software. Software Engineering is the combination of all the tools, techniques, and processes that used in software production. Therefore Software Engineering encompasses all those things that are used in software production like :
Programming Language
Programming Language Design
Software Design Techniques
Tools
Testing
Maintenance
Development etc.
These days object-oriented programming is widely being used. If programming languages will not support object-orientation then it will be very difficult to implement object-oriented design using object-oriented principles. All these efforts made the basis of software engineering.
This document summarizes common software myths and realities. It discusses six myths: 1) that standards and procedures are enough to produce good programs, 2) that new hardware ensures good software, 3) that adding programmers to a late project finishes it on time, 4) that general objectives are enough to begin programming, 5) that software is flexible enough to handle continuous changes, and 6) that the job is done once a program works. For each, it provides the reality, such as that people don't always follow standards, tools are more important than hardware, adding people makes projects later, detailed requirements are needed upfront, changes are costly, and 50-70% of effort is post-delivery including documentation.
The document provides an introduction to software engineering concepts. It discusses how software engineering aims to develop reliable software products using well-defined scientific principles and methods. It covers software evolution, different software paradigms including development, design and programming paradigms. It also discusses different software life cycle models like waterfall, incremental, prototyping and spiral models. Finally, it talks about characteristics of good software products and causes of software crisis.
This document introduces software engineering and discusses its importance. It explains that software engineering is concerned with the theories, methods and tools for professional software development. The document outlines key topics that will be covered, such as frequently asked questions about software engineering, professional and ethical responsibilities, and the costs associated with software engineering. It also discusses challenges facing the field like coping with legacy systems and demands for faster delivery.
This document provides an introduction to software engineering. It discusses why software engineering is needed due to the bitter reality that many software projects fail or do not meet requirements. Common reasons for failure include unclear requirements, unrealistic schedules and budgets, and weak communication between project stakeholders. The document introduces key aspects of software engineering including defined processes, documentation, and use of methods to improve communication and management of software projects. Finally, it discusses factors for successful projects including clear goals, user involvement, tools and qualified team members.
The document summarizes key concepts in software engineering:
1. It discusses several software process models including waterfall, evolutionary development, formal transformation, and reuse-based development. These models describe different approaches to organizing the software development process.
2. It also covers software lifecycle phases like requirements, design, implementation, testing, and evolution. Activities within each phase are outlined.
3. Automated tools and techniques for supporting the software engineering process are introduced, categorized by the type of support they provide for different process activities.
This document provides an introduction to software engineering. It discusses how software engineering is concerned with the development and maintenance of software through professional practices and methods. It notes that software costs, especially maintenance costs, are a large part of overall system costs. The document then discusses different types of software products and specifications, as well as frequently asked questions about software engineering. It emphasizes that software engineering principles should be applied to all types of software development.
This document provides an overview of software engineering. It defines software engineering as an engineering discipline concerned with all aspects of software production. It discusses how the economies of developed nations depend on software and how software costs, including maintenance, often exceed development costs. It also summarizes common software processes, the differences between software, computer science and systems engineering, attributes of good software, and the role of computer-aided software engineering tools.
A Combined Approach of Software Metrics and Software Fault Analysis to Estima...IOSR Journals
The document presents a software fault prediction model that uses reliability relevant software metrics and a fuzzy inference system. It proposes predicting fault density at each phase of development using relevant metrics for that phase. Requirements metrics like complexity, stability and reviews are used to predict fault density after requirements. Design, coding and testing metrics are similarly used to predict fault densities after their respective phases. The model aims to enable early identification of quality issues and optimal resource allocation to improve reliability. MATLAB is used to define fault parameters, categories, fuzzy rules and analyze results. The goal is a multistage fault prediction model for more reliable software delivery.
The key to successful testing is effective and timely planning. Rick Craig introduces proven test planning methods and techniques, including the Master Test Plan and level-specific test plans for acceptance, system, integration, and unit testing. Rick explains how to customize an IEEE-829-style test plan and test summary report to fit your organization’s needs. Learn how to manage test activities, estimate test efforts, and achieve buy-in. Discover a practical risk analysis technique to prioritize your testing and become more effective with limited resources. Rick offers test measurement and reporting recommendations for monitoring the testing process. Discover new methods and develop renewed energy for taking your organization’s test management to the next level.
This document provides an overview of software engineering. It begins by defining software engineering as the application of engineering principles and methods to the development of software. It then discusses some key aspects of software engineering like the software development life cycle, software project management, and paradigms. Finally, it outlines some important characteristics of good software like usability, efficiency, correctness, portability and maintainability.
The document introduces software engineering and discusses its objectives, topics covered, and key concepts. It aims to define software engineering, explain why it is important, and introduce professional responsibilities. Some key points covered include defining software and the software engineering process, discussing costs and challenges, and introducing ethics codes.
Software FMEA and Software FTA – An Effective Tool for Embedded Software Qual...Mahindra Satyam
The document discusses software FMEA (Failure Mode and Effects Analysis) and FTA (Fault Tree Analysis) as effective tools for embedded software quality assurance. Software FTA involves identifying potential failures and their causes by logically connecting software components to undesired events. Software FMEA examines failures at the functional and variable levels. The analyses help identify weaknesses, critical variables, and protections needed. The results provide inputs for testing and help reduce risks for safety-critical systems.
Tue
Wed
Thu
Fri
The document discusses agile software development methodologies and Scrum in particular. It defines agile as iterative and incremental development that promotes adaptive planning, evolutionary development and delivery. Scrum is introduced as an agile process that focuses on delivering the highest business value in the shortest time through short iterative sprints with working software delivered at the end of each sprint. Key Scrum roles, ceremonies, and artifacts like product backlog, sprint backlog, and burn down charts are described.
This document provides an overview of software engineering concepts covered in lecture notes. It discusses the software development life cycle (SDLC) which includes key stages like requirements gathering, design, coding, testing, integration and maintenance. The SDLC framework aims to develop software efficiently using a well-defined process. Software engineering principles like abstraction and decomposition are used to reduce complexity when developing large programs.
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.
A study on the presence of fecal pollution indicatoriaemedu
This document summarizes a study on the presence of fecal indicator bacteria in Muttukadu back waters in Tamil Nadu, India. Water samples were collected during pre-monsoon, monsoon, and post-monsoon seasons and tested for fecal coliforms using multiple tube fermentation and membrane filtration techniques. Analysis found higher numbers of fecal coliforms during the monsoon season, followed by post-monsoon, and lower numbers in pre-monsoon. Escherichia coli was identified as the dominant fecal indicator present throughout the year, indicating sewage contamination of the water body poses a health risk especially during monsoons.
Knowledge management strategies in higher educationiaemedu
The document discusses knowledge management strategies in higher education. It begins by explaining the concepts of explicit and implicit knowledge and how knowledge works in higher education. It then discusses trends in knowledge management practices for higher education, including leveraging knowledge to enhance innovation and convergence with research. Finally, it proposes technology solutions like university portals that can integrate tools and resources to improve knowledge sharing and exchange among faculty and students across campuses.
Early detection of adult valve disease mitral stenosis using the elman artifi...iaemedu
The document discusses using an Elman artificial neural network (ENN) to classify the degree of mitral valve stenosis in ultrasound images. An ENN was trained on M-mode echocardiography images showing mild, moderate or severe stenosis. The ENN demonstrated good performance classifying images into the three categories. Feature extraction was performed using kernel principal component analysis to reduce image pixels to three values as inputs to the ENN. The ENN architecture included input, hidden, connecting and output layers to classify dynamic patterns over time in the ultrasound images.
Integration of biosensors in the biomedical systems choices and outlookiaemedu
This document discusses the integration of biosensors in biomedical systems. It begins by introducing biosensors and their components. Miniaturization and automation are seen as advantageous trends. The criteria for integrating biosensors is then examined, with microelectronic techniques seen as most integrable. Lab-on-a-chip is presented as an example of an almost perfect integrated biosensor cell that promises to be a future technology. Thermal properties that could impact integration are also briefly reviewed. In conclusion, multidisciplinary research is needed for coherent development across different fields to further biosensor integration.
Investigation of mechanical behaviour in forming of sintered copper 15%tungst...iaemedu
This document summarizes an investigation into the mechanical behavior of sintered copper-15% tungsten nano powder composites during cold forming. Copper and tungsten powders were milled to a particle size of 400nm and below and compacted into cylindrical preforms with initial densities of 85% and aspect ratios of 0.4, 0.6, and 0.8. The preforms were sintered and then subjected to cold deformation testing. Results showed that stresses increased with strain levels and aspect ratio, with lower aspect ratios exhibiting higher stresses. Fractional density was also found to correlate with a strain parameter according to a power law relationship.
Comparison between training function trainbfg and trainbr in modeling of neur...iaemedu
This document compares two training functions, TRAINBFG and TRAINBR, for modeling a neural network to predict the specific heat capacity of a working fluid (LiBr-H2O) used in vapor absorption refrigeration systems. The neural network model contains one input layer with two nodes (vapor quality and temperature), one hidden layer, and one output layer (specific heat capacity). Both training functions are evaluated based on error metrics like relative error and root mean square error. The results and discussion section will analyze which training function produces the best neural network model for this prediction task based on the error analysis.
A comparative study of customer experience in café coffee day vs baristaiaemedu
The document presents a comparative study of customer experience at Cafe Coffee Day and Barista coffee chains in India. It provides background information on the growth of coffee culture in India and discusses how globalization influenced the emergence of modern coffee cafe chains. The study examines 25 variables related to customer experience across both chains, including aspects like ambience, products, service quality, and pricing. Statistical analysis of survey data from 146 respondents in Pune revealed that customer perception was unfavorable for a few variables like exterior design, space in aisles, scent, delivery time, and taste/quality of products at the coffee chains.
Vivek Chandel is seeking a position as a mechanical engineer. He has a B.Tech in Mechanical Engineering from H.P.T.U. with over 67% marks. He has experience working as a plant engineer at SUNMAN ENGINEERING INC. and has completed projects in cement manufacturing processes, AutoCAD, SolidWORKS, pick and place robots, and more. He has strong technical, personal, and leadership skills and enjoys travelling, reading, cooking, sports, and music in his free time.
This document appears to be a letter from Lesly Cletus of GAC Shipping (India) Pvt. Ltd regarding compliance and ethics. It contains a reference number and date but no other information. In 3 sentences or less, this summarizes the high level essential information provided.
Application of voc translationtools a case studyiaemedu
This document provides an overview of tools that can be used to translate customer needs and preferences into product design. It discusses conjoint analysis, which measures customer preferences to help simulate customer reactions to new products. The document also mentions other voice of the customer tools like Kano analysis, Pugh matrix, quality function deployment that can be used in the new product development process to help bridge the gap between marketing and design. It emphasizes the importance of understanding customer desires early in development through market research to improve the success rate of new products.
Women entrepreneurs in beauty clinic industry in tamilnaduiaemedu
This document summarizes a study on women entrepreneurs in the beauty clinic industry in Tamil Nadu, India. The study aimed to identify obstacles faced by women entrepreneurs in beauty parlors and analyze customer satisfaction levels. Data was collected through questionnaires with 350 beauty parlor owners and 450 customers. Factor analysis identified key factors for entrepreneur success including stress handling, commitment, skills optimization, and performance. Multiple regression analysis found pricing strategies, punctuality, quality of work, service quality, facilities, and parking were significant predictors of customer satisfaction. The study concluded that addressing age-specific customer needs and expectations is important to achieve higher satisfaction.
Catalogo de aceros otero 2014. Un buen indicejbravo01
Este documento presenta a una empresa líder en Chile en la venta de aceros, metales, máquinas, herramientas e insumos industriales con más de 50 años de experiencia. La empresa se ha posicionado como uno de los principales proveedores de insumos industriales en el país a través de su servicio integral y logística de excelencia para los sectores minero, industrial y de construcción. La empresa ofrece una amplia gama de productos e insumos de marcas internacionales.
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.
This document discusses defect prediction models in software development. It begins by covering the importance of effort estimation in software maintenance planning and management. The document then discusses how data from software defect reports, including details on defects, components, testers and fixes, can be used to build reliability models to predict remaining defects. Machine learning and data mining techniques are proposed to analyze relationships between software quality across releases and to construct predictive models for forecasting time to fix defects. The document provides an overview of typical software development processes and then discusses a two-step approach to defect prediction and analysis using appropriate statistics and data mining techniques.
Software Engineering in a Quick and Easy way - v1.pdfKAJAL MANDAL
The Most Common must know Software Development life cycle Models. As we discussed in our earlier article on Software Engineering, we have learned about the aspects of Software Engineering and the qualities that it should possess. Now let us move ahead and learn about the models of the software development life cycle. What is a software development life cycle? A software development life cycle, sometimes also called the SDLC life cycle, represents and describes the various activities that are to be performed to build a software product. These activities are grouped into several phases and sequentially linked in order. Hence we can also say, that a software development life cycle is a structured list of activities that are followed to develop software, from the inception to the delivery of the final product. During any phase of the life cycle of development, one or more activities might have to be carried out to start or finish that phase. For example, in the inception phase of actual coding, it is expected that the architectural designing phase is completed. Why software development life cycle model is required? In every model of SDLC, every phase may have its own child life cycle, for every team of a specific skill set. So in an environment of complicated projects and a variety of skill-based teams, it is vital to follow a pre-defined structured process. This creates discipline and maintains decorum in the working culture. All team members are interdependent. Failure of any one team will affect the deliverables of other teams. And all together it might lead to project failures. SDLC also defines entry and exit criteria for every phase. For example, say, if a team member starts coding, assuming that pro-activeness will help finish the project much earlier. This would be the perfect recipe for disaster and project failure. Why? Because, after putting down a month of effort they might realize that the project needs a roving vehicle on Mars to collect data. Unfortunately, the team doesn’t have that with them. So they can not proceed further. That means a feasibility study was not performed before the team started working on deliverables. Which in technical terms, is a breach of SDLC, and hence the loss of effort, or project failure. The team should have done a feasibility study before jumping straight into deliverables. Then they would have realized that the project is not doable, many days in advance. As so, they could have saved some unnecessary effort. Hence it is strongly suggested to follow a methodology, or process while working on complex and team-based projects. It becomes easier for the entire team to work together, support each other, manage, and track the progress of the development. Regardless of the model you follow, SDLC models always ensure smooth delivery, reporting, and chaos-free delivery of the project. Classic Waterfall Model. Prototyping Model. Iterative Waterfall Model. Rapid Action Development. Spiral Model.
Software development is the process of creating and maintaining software applications and components. It involves conceiving ideas, specifying requirements, designing, programming, testing, and fixing bugs. The software can be developed for a variety of purposes like custom software for clients, commercial software, or personal use. Different methodologies take structured or incremental approaches to the stages of software development which typically include analyzing problems, gathering requirements, designing, implementing, testing, deploying, and maintaining the software. The best approach depends on how well understood the problem is and whether the solution can be planned out in advance or needs to evolve incrementally.
Software process and product quality assurance in it organizationsiaemedu
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 key PPQA activities like establishing a PPQA plan, providing training, evaluating processes and work products, preparing reports, and addressing noncompliance issues. It also discusses roles and procedures for implementing PPQA, including preparing a PPQA plan, conducting evaluations, and reporting results. The goal of PPQA is to provide objective oversight and feedback to help ensure high-quality products and continual process improvement.
Software process and product quality assurance in it organizationsiaemedu
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.
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.
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.
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.
The software development process heavily relies on requirement engineering as it forms the base for entire process. Although software engineering is full of methods for requirement analysis, the problem we face is which method to select and how to apply it. It is expected that we should be able to get clear and complete idea about what is expected by the user from the proposed system. This puts emphasis on requirement analysis process. The method we need to adopt should enable us to get clear and complete set of requirements. The requirement engineering process dependent on abilities of the persons carrying out the process also the nature of system puts certain constraints on the process. . This paper is an attempt to look at certain problems posed by the requirement engineering process and possible corrective measures against it to help improve overall software quality.
1. Emergence of Software EngineeringIn the software industry, we.docxjackiewalcutt
1. Emergence of Software Engineering
In the software industry, we have seen the complexity of computer-based systems increase dramatically over the past decades along with advances in technology. This new technology has increased the demand for computer-based systems to control many infrastructures with software. As a result, designing and building cost-effective, reliable, and high-quality software has become the focus of software engineering in the computer industry.
In the past the processes used for designing and developing software were very informal, which contributed to the rise in development and maintenance costs. The results of ad hoc development processes contributed to a higher percentage of unreliable and lesser quality products entering the marketplace. Many accidents resulted from failures in computer-based systems with hardware devices that were controlled with software. At the time, the industry was considered to be in a crisis state, which then led to the emergence of new practices and methods in software engineering.
Technological advances have had a big impact on the complexity level required in software systems. The emergence of new communication protocols, hardware devices, and graphical user interface components have placed a greater demand on software engineers to design quality, reliable, and safe software.
A Brief History of Software Engineering
In the 1950s and the early 1960s, the various engineering disciplines were beginning to analyze how aspects of the engineering field could be applied to methods used in developing software products. As computing power evolved over the decades, the demand increased along with the complexity of the problems that needed to be addressed in the design of software. The term software engineering was introduced in 1968 at the first international software engineering conference, held by the North Atlantic Treaty Organization (NATO) Science Committee (Mahoney 2004). Many practitioners believe this is the milestone that marked the emergence of the software engineering discipline.
Software was developed to control critical hardware devices in the mid- to late-1960s and early 1970s. During this time, cases emerged that involved operational errors and accidents resulting in the loss of human lives and damage to property. Defects in software were uncovered, which heightened public awareness to the need for better quality and reliability of software. The escalating cost of building quality and reliable software was on the rise in the computer industry and the demand for skilled programmers could not be met. The state of software development was viewed by practitioners as being in a "crisis" state and was commonly referred to as the software crisis.
In response to the software crisis, researchers and practitioners have been trying to develop a set of methodologies, processes, and tools as the "silver bullet" for building software. The combination of these methodologies, processes, and tools i ...
Management Information Systems – Week 7 Lecture 2Developme.docxcroysierkathey
Management Information Systems – Week 7 Lecture 2
Development & Improvement
Chapter 13 Systems Development: Design, Implementation, Maintenance,
and Review
You have learned about information systems and seen a little about how the project is run to create a new
system. This week you will focus on the actual systems design process. This will help you whether you
become a programmer, systems analyst or are a department manager. There are countless articles on
this subject on the internet and some great YouTube videos so take a moment to do some extra research
and learn more about systems development.
When an IS manager sits down to design a system they look at several areas and have many special
tools at their disposal.
A systems engineer or senior developer will first look at the logical design. This usually means that they
look at the user request and determine what they really mean! Once they have clarification they will create
a physical design. This might be object-oriented (using code that has already been created) or mock ups
showing interface design and controls. This is sometimes called storyboarding. This image is an example
of creating a new user interface:
System design time is an investment for the business, it will help by preventing, detecting, and correcting
errors prior to the application software being written. It will generate systems design alternatives. One
alternative is to ask software developers to create the application for the business, this is done by creating
a request for proposal (RFP). Software vendors will then propose several options at various price points.
The business can then review the proposals, do a cost benefit analysis and select an appropriate plan of
action.
Once a project has started it is a good idea to freezing design specifications using a contract, and even a
design report called a Functional Design Document. This process is intended to allow the development
team to focus on creating a specific application and not have to try to hit a constantly moving target. As
the application is being developed it is also time to acquire the hardware that will be needed. If the
application requires a headset with microphone for voice input or a super-fast computer, this is the time to
make sure the application will be functional when it is implemented.
Types of IS hardware vendors include:
General computer manufacturers
Small computer manufacturers
Peripheral equipment manufacturers
Computer dealers and distributors
Chip makers
While the application is being developed and the hardware acquired, in a perfect world the personnel will
be hired and trained and any preparations will be done for the site and data requirements (additional disk
drives for databases or could computing). One of the phases of software development is the testing
phase. It really cannot be considered the final stage because it may result in some additional planning,
programming or other modifications. It can be considered to be ...
ITERATIVE AND INCREMENTAL DEVELOPMENT ANALYSIS STUDY OF VOCATIONAL CAREER INF...ijseajournal
Software development process presents various types of models with their corresponding phases required to be accordingly followed in delivery of quality products and projects. Despite the various expertise and skills of systems analysts, designers, and programmers, systems failure is inevitable when a suitable development process model is not followed. This paper focuses on the Iterative and Incremental Development (IID)model and justified its role in the analysis and design software systems. The paper adopted the qualitative research approach that justified and harnessed the relevance of IID in the context of systems analysis and design using the Vocational
Career Information System (VCIS) as a case study. The paper viewed the IID as a change-driven software development process model. The results showed some system specification, functional specification of system and design specifications that can be used in implementing the VCIS using the IID model. Thus, the paper concluded that in systems analysis and design, it is imperative to consider a suitable development process that reflects the engineering mind-set, with heavy emphasis on good analysis and design for quality assurance.
“Scrumbear” framework for solving traditional scrum model problemsjournalBEEI
Software engineering is a discipline that is little understood by people. It defines how software is developed and maintained to meet the clients’ requirements. Software engineers follow certain systems and standards in their work to meet the clients’ desires. It is on this background that engineers follow specific models in coming up with the final product. One of the models highly used is scrum, which is one of the agile methodologies. However, despite being highly used, it has inherent flaws that need to be corrected. Those flaws are product owner continues changing; do not accept changes in working scrum, sprint’s release time limitation, finally wasting team time within each sprint. This paper presents a new framework, which is an updated version of the current Scrum, to overcome the scum models mentioned issues. In this study, a new framework is presented in a way that is understandable and needed by software developer’s team upon the collected qualitative and quantitative data. The implementation was by making some changes to the current scrum model leading to the “Scrumbear”, certain flaws can be corrected. One of the presented changes involve adding the control master rule to ensure controlling the requirements changing.
This document provides an overview of software testing concepts, roles, and terminology. It discusses what software testing is, why it's important, and who is involved. The key points are:
1. Software testing verifies and validates that software meets requirements and works as expected by finding defects. It has three main purposes: verification, validation, and defect finding.
2. Formal testing is important to find defects that could otherwise cause problems, waste resources, or damage credibility. It answers questions about functionality, requirements, user experience, and more.
3. Testing involves various roles like testers, developers, business sponsors, and requires a test plan that outlines the process and responsibilities.
A study of critical success factors for adaption of agile methodologyIAEME Publication
This document discusses critical success factors for adopting agile methodology. It conducted a survey of 200 IT professionals, though only 40 responded. The survey found that management involvement, team member readiness, and organization size significantly impact adopting agile software methodology. The document also reviews various agile methods like extreme programming, scrum, crystal and feature driven development, and compares them to traditional waterfall methods. It notes advantages of agile include short cycles, test-first development, and empowering teams, while waterfalls struggle with changing requirements.
This document provides an overview of software engineering and its models. It discusses the evolution of software engineering from the 1960s to present day. It describes key software engineering concepts like the software development life cycle, capability maturity models, and various software development models including waterfall, iterative enhancement, prototyping, spiral, and RAD approaches. The document emphasizes that software engineering applies systematic and disciplined processes to software development in order to address challenges like increasing complexity, high costs, and quality issues.
Despite of many advances in design of complex software development there remains the
problem of highly inadequately specifying the requirements form the stakeholders for any real time
application
Similar to Software process methodologies and a comparative study of various models (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.
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.
A comprehensive study of non blocking joining techniqueiaemedu
The document discusses and compares various non-blocking joining techniques for databases. It describes 7 different non-blocking joining algorithms: 1) Symmetric hash join, 2) XJoin, 3) Progressive merge join, 4) Hash merge join, 5) Rate based progressive join, 6) Multi-way join, and 7) Early hash join. For each algorithm, it explains the basic approach, memory overflow handling technique, and provides diagrams to illustrate the process. The goal of the paper is to explain and evaluate these non-blocking joining techniques based on factors like execution time, memory usage, I/O complexity, and ability to handle continuous data streams.