This document discusses software project planning and metrics. It describes the objectives, purpose, and process of project planning. Key steps in planning include identifying requirements, costs, risks, and success factors. It also prepares the project charter and plan. The document then discusses software metrics for measuring characteristics like size, quality, and productivity. It classifies metrics as product, process, internal, external, and hybrid. Examples of size-oriented metrics like lines of code are provided. Finally, the COCOMO model for estimating software project efforts and schedules based on size is described, including organic, semidetached and embedded project types.
This document discusses various techniques for estimating software projects, including decomposition techniques like software sizing based on lines of code or function points. It also covers estimating using problem-based decomposition into functions and estimating with use cases. Metrics for process, product, and project are discussed, as well as size-oriented, function-oriented, object-oriented, and use case-oriented metrics. Function point calculation and components are explained in detail.
The document discusses various aspects of software project management including the management scope, people, product, process, and project. It also covers the W5HH principle for defining key project characteristics including why the system is being developed, what will be done, when it will be done, who is responsible, where people are located, how the job will be done technically and authoritatively, and how many resources are needed. Finally, it discusses software metrics for measuring aspects like size, quality, and productivity.
This document discusses software project management and estimation techniques. It covers:
- Project management involves planning, monitoring, and controlling people and processes.
- Estimation approaches include decomposition techniques and empirical models like COCOMO I & II.
- COCOMO I & II models estimate effort based on source lines of code and cost drivers. They include basic, intermediate, and detailed models.
- Other estimation techniques discussed include function point analysis and problem-based estimation.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The document discusses software project management. It defines a software project as the complete process of software development from requirements gathering through testing and maintenance. A software project manager closely monitors the development process, prepares plans, arranges resources, and manages communication between team members. Software project management involves planning, scope management, estimation of size, effort, time and cost, and other activities. Estimation techniques include decomposition by functions or activities and empirical models. Lines of code is a common size metric but does not consider complexity. Effort estimation forecasts time required and project estimation uses a stepwise decomposition approach.
Computer Network tutorial provides basic and advanced concepts of Data Communication & Networks (DCN). Our Computer Networking Tutorial is designed for beginners and professionals.
Our Computer Network tutorial includes all topics of Computer Network such as introduction, features, types of computer network, architecture, hardware, software, internet, intranet, website, LAN, WAN, etc.
What is Computer Network?
A computer network is a set of devices connected through links. A node can be computer, printer, or any other device capable of sending or receiving the data. The links connecting the nodes are known as communication channels.
Computer Network uses distributed processing in which task is divided among several computers. Instead, a single computer handles an entire task, each separate computer handles a subset.
Following are the advantages of Distributed processing:
Security: It provides limited interaction that a user can have with the entire system. For example, a bank allows the users to access their own accounts through an ATM without allowing them to access the bank's entire database.
Faster problem solving: Multiple computers can solve the problem faster than a single machine working alone.
Security through redundancy: Multiple computers running the same program at the same time can
This document discusses various techniques for estimating software projects, including decomposition techniques like software sizing based on lines of code or function points. It also covers estimating using problem-based decomposition into functions and estimating with use cases. Metrics for process, product, and project are discussed, as well as size-oriented, function-oriented, object-oriented, and use case-oriented metrics. Function point calculation and components are explained in detail.
The document discusses various aspects of software project management including the management scope, people, product, process, and project. It also covers the W5HH principle for defining key project characteristics including why the system is being developed, what will be done, when it will be done, who is responsible, where people are located, how the job will be done technically and authoritatively, and how many resources are needed. Finally, it discusses software metrics for measuring aspects like size, quality, and productivity.
This document discusses software project management and estimation techniques. It covers:
- Project management involves planning, monitoring, and controlling people and processes.
- Estimation approaches include decomposition techniques and empirical models like COCOMO I & II.
- COCOMO I & II models estimate effort based on source lines of code and cost drivers. They include basic, intermediate, and detailed models.
- Other estimation techniques discussed include function point analysis and problem-based estimation.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The document discusses software project management. It defines a software project as the complete process of software development from requirements gathering through testing and maintenance. A software project manager closely monitors the development process, prepares plans, arranges resources, and manages communication between team members. Software project management involves planning, scope management, estimation of size, effort, time and cost, and other activities. Estimation techniques include decomposition by functions or activities and empirical models. Lines of code is a common size metric but does not consider complexity. Effort estimation forecasts time required and project estimation uses a stepwise decomposition approach.
Computer Network tutorial provides basic and advanced concepts of Data Communication & Networks (DCN). Our Computer Networking Tutorial is designed for beginners and professionals.
Our Computer Network tutorial includes all topics of Computer Network such as introduction, features, types of computer network, architecture, hardware, software, internet, intranet, website, LAN, WAN, etc.
What is Computer Network?
A computer network is a set of devices connected through links. A node can be computer, printer, or any other device capable of sending or receiving the data. The links connecting the nodes are known as communication channels.
Computer Network uses distributed processing in which task is divided among several computers. Instead, a single computer handles an entire task, each separate computer handles a subset.
Following are the advantages of Distributed processing:
Security: It provides limited interaction that a user can have with the entire system. For example, a bank allows the users to access their own accounts through an ATM without allowing them to access the bank's entire database.
Faster problem solving: Multiple computers can solve the problem faster than a single machine working alone.
Security through redundancy: Multiple computers running the same program at the same time can
Hard work matters for everyone in everytbinglojob95766
The document discusses various metrics for measuring software products and projects. It describes direct and indirect software measurement and different types of software metrics including product, process, and project metrics. It then outlines several specific metrics for measuring size, functions, objects, use cases, and web applications. These metrics can be used to assess quality, complexity, and effort required for software products and projects.
Exploring the Efficiency of the Program using OOAD MetricsIRJET Journal
This document proposes a methodology to analyze the efficiency of object-oriented programs using OOAD (Object Oriented Analysis and Design) metrics. The methodology involves compiling a program successively until it is error-free, recording the error rate at each compilation. These results are then compared to determine how many compilations were needed for the program to be error-free, indicating its efficiency. The methodology is experimentally validated on a sample Java program, with results showing the error rate decreasing with each compilation until the program is error-free after the 8th compilation, demonstrating good efficiency.
Here are the key characteristics of engineering:
1. Engineers proceed by making a series of decisions, carefully evaluating options and choosing appropriate approaches at each decision point based on tradeoff analysis of costs and benefits.
2. Engineers measure things quantitatively when appropriate, calibrate and validate measurements, and use approximations based on experience.
3. Engineers design things, whether physical systems, software systems, or business processes. Design involves establishing requirements, generating alternative solutions, evaluating alternatives, and choosing a solution.
4. Engineers build or construct things, whether physical prototypes or software systems. They integrate components and ensure everything works together as intended.
5. Engineers test things, whether by simulation, experimentation, or operational trials,
This document discusses different types of software metrics including process, product, and project metrics. It defines metrics as quantitative measures of attributes and discusses how they can be used as indicators to improve processes and projects. Process metrics measure attributes of the development process over long periods of time. Product metrics measure attributes of the software at different stages. Project metrics are used to monitor and control projects. The document also discusses size-oriented and function-oriented metrics for normalization and comparison purposes. It provides examples of calculating function points and deriving metrics like errors per function point.
The document discusses software metrics and measuring software. It begins with an anecdote about a woman incorrectly trying to measure the length of software with a physical ruler. It then discusses that while software cannot be physically measured, it can be measured through various software metrics. The document goes on to describe different types of software metrics including product, process, and resource metrics and how they are used to measure characteristics of software and the development process.
The document discusses software metrics and measuring software. It begins with an anecdote about a woman incorrectly trying to measure the length of software with a physical ruler. It then discusses that while software cannot be physically measured, it can be measured through various software metrics. The document goes on to describe different types of software metrics including product, process, and resource metrics and how they are used to measure characteristics of software and the development process.
The document provides an overview of software engineering concepts including definitions, characteristics of software, software engineering layers, processes, methods, tools, and process models. It discusses software quality focus, process frameworks, generic process models, and prescriptive process models including the waterfall model, incremental process model, and RAD model.
In this presentation, it will cover different software development methodologies. These include the common types of SDM, and the pros and cons.
A software development methodology involves several steps. These include planning, structuring, and performance tracking.
In some instances, it may also include extreme programming. The objective is to streamline the process when developing software or any product.
Almost all software development methodologies are non-technical. This means they do not deal with the technical aspects of software design and development. They focus more on the internal operations, and other processes involved in the project.
Take note that each has its specific features. Gauge your options, and choose the best one that suits your needs.
This document outlines a proposed software project management tool. It describes modules for business development officers, project managers, developers, HR managers, and clients. It identifies common problems like underqualified staff, unclear requirements, and changing tools mid-project. The proposed system would allow online project status inquiries, manage projects and validate requirements. It would generate reports on clients, employees, projects, and tasks. The system aims to improve project management and be user friendly.
Software Metrics for Identifying Software Size in Software Development ProjectsVishvi Vidanapathirana
This paper defines the best software metrics that can be used to define the size of the software in the current industry of information technology (IT)
IRJET- Factors in Selection of Construction Project Management Software i...IRJET Journal
The document discusses factors to consider when selecting construction project management software in India. It conducted interviews with 15 experts in the construction industry with experience ranging from 5-30 years. The interviews aimed to understand the software selection process. Based on the literature review and interviews, the document proposes a model for software selection with 8 steps: 1) identify software options, 2) review organization policies, 3) analyze the project's needs, 4) analyze the client's needs, 5) inquire the purpose of planning, 6) analyze software performance and price, 7) check available skills, and 8) select and use software. The model categorizes factors as either project specific or general to guide effective software selection.
The document discusses different techniques for configuring virtual hosting on a server. It describes IP-based virtual hosting where each domain has a unique IP address. Port-based virtual hosting uses different ports to host multiple websites. Name-based virtual hosting is the most common technique, using a single IP address and the domain name to determine which website to serve.
Software Metrics, Project Management and EstimationBulbul Agrawal
The document discusses software metrics, project management, and estimation techniques. It defines different types of metrics including product, process, and project metrics. It also discusses quality metrics, project management fundamentals involving people, product, process and project, and estimation techniques like function point analysis, lines of code estimation, and the COCOMO model. Project scheduling techniques like Gantt charts and critical path analysis are also covered. The conclusion emphasizes that metrics, project management, and estimation are essential for successful software development.
This document provides an introduction to software engineering. It begins with the course outcomes, which are to apply the software engineering lifecycle, gain knowledge of software and UI design, and apply testing guidelines. It then covers topics like the definition of software engineering, its objectives like maintainability and portability, and the software development lifecycle which includes stages like requirements analysis, design, development, testing, and deployment. The importance of software engineering is discussed as helping to reduce complexity, minimize costs, decrease time, and handle large projects. References are provided at the end.
This document discusses software metrics for processes, projects, and products. It defines metrics as quantitative measures used as management tools to provide insight. Metrics in the process domain are used for strategic decisions, while project metrics enable tactical decisions. Size-oriented metrics normalize measures by lines of code or function points. Function-oriented metrics use functionality as a normalization value. Quality metrics measure correctness and maintainability. Establishing a metrics baseline from past projects allows for process, product, and project improvements.
This document provides an overview of software estimation techniques. It discusses why estimation is important, the general estimation process, and factors that impact accuracy such as requirements management and experience. The document also describes different estimation methods like expert judgment, analogy-based, top-down, and bottom-up. It provides examples of estimation tools like Function Point Analysis and COCOMO II for sizing and effort estimation.
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.
The document discusses the need for software engineering principles in developing large software products. It notes that while small programs can be written without engineering principles, large products require a systematic approach to achieve good quality cost-effectively. It also summarizes factors that impact software quality and productivity, including product complexity, team communication challenges, appropriate notations, and the level of technology used. Project size is a major determinant of management control needs and techniques required.
The document discusses various aspects of software project management including the management scope, people, product, process, and project. It also covers software metrics which are quantitative measures used to gain insight into software characteristics and processes. Examples of metrics include lines of code, defects, and customer problems to measure aspects like size, quality, and satisfaction.
This document describes a new methodology called Extreme Software Estimation (XSoft Estimation) for accurately estimating software projects. XSoft Estimation uses COSMIC-Full Function Points (FFP) to measure software size and then applies a model of Development Effort = Size * Variable to estimate effort, cost, and schedule. The methodology was tested on 5 projects measuring their size in CFP units and comparing actual development time between expert and skilled teams, different programming languages and layers. The results showed expert teams and some languages/layers took significantly less time than others for the same sized functionality. XSoft Estimation aims to improve on past methods by basing estimates directly on measured functionality using COSMIC FFP.
The document provides information on various topics related to software engineering:
1. It defines software engineering and discusses why it is required to manage large, scalable software projects and improve quality and cost management.
2. It describes common software processes like specification, development, validation and evolution and different process models like waterfall, iterative and prototyping.
3. It discusses the "software crisis" due to increasing size, costs and delays in software projects and differentiates between a program and software.
4. It explains popular process models like waterfall, iterative and prototyping in detail outlining their phases, advantages and disadvantages.
The document discusses risk analysis and management. It defines risk as a potential problem that may or may not occur, with uncertainty and potential losses. Risk management is described as a process of systematically considering possible risks, problems, or disasters before they happen to avoid or minimize impacts. The document outlines different types of risks like project, product, and business risks. It also discusses the processes of risk identification, assessment, mitigation, monitoring, and management. Project scheduling techniques are also summarized, including work breakdown structure and activity networks.
Hard work matters for everyone in everytbinglojob95766
The document discusses various metrics for measuring software products and projects. It describes direct and indirect software measurement and different types of software metrics including product, process, and project metrics. It then outlines several specific metrics for measuring size, functions, objects, use cases, and web applications. These metrics can be used to assess quality, complexity, and effort required for software products and projects.
Exploring the Efficiency of the Program using OOAD MetricsIRJET Journal
This document proposes a methodology to analyze the efficiency of object-oriented programs using OOAD (Object Oriented Analysis and Design) metrics. The methodology involves compiling a program successively until it is error-free, recording the error rate at each compilation. These results are then compared to determine how many compilations were needed for the program to be error-free, indicating its efficiency. The methodology is experimentally validated on a sample Java program, with results showing the error rate decreasing with each compilation until the program is error-free after the 8th compilation, demonstrating good efficiency.
Here are the key characteristics of engineering:
1. Engineers proceed by making a series of decisions, carefully evaluating options and choosing appropriate approaches at each decision point based on tradeoff analysis of costs and benefits.
2. Engineers measure things quantitatively when appropriate, calibrate and validate measurements, and use approximations based on experience.
3. Engineers design things, whether physical systems, software systems, or business processes. Design involves establishing requirements, generating alternative solutions, evaluating alternatives, and choosing a solution.
4. Engineers build or construct things, whether physical prototypes or software systems. They integrate components and ensure everything works together as intended.
5. Engineers test things, whether by simulation, experimentation, or operational trials,
This document discusses different types of software metrics including process, product, and project metrics. It defines metrics as quantitative measures of attributes and discusses how they can be used as indicators to improve processes and projects. Process metrics measure attributes of the development process over long periods of time. Product metrics measure attributes of the software at different stages. Project metrics are used to monitor and control projects. The document also discusses size-oriented and function-oriented metrics for normalization and comparison purposes. It provides examples of calculating function points and deriving metrics like errors per function point.
The document discusses software metrics and measuring software. It begins with an anecdote about a woman incorrectly trying to measure the length of software with a physical ruler. It then discusses that while software cannot be physically measured, it can be measured through various software metrics. The document goes on to describe different types of software metrics including product, process, and resource metrics and how they are used to measure characteristics of software and the development process.
The document discusses software metrics and measuring software. It begins with an anecdote about a woman incorrectly trying to measure the length of software with a physical ruler. It then discusses that while software cannot be physically measured, it can be measured through various software metrics. The document goes on to describe different types of software metrics including product, process, and resource metrics and how they are used to measure characteristics of software and the development process.
The document provides an overview of software engineering concepts including definitions, characteristics of software, software engineering layers, processes, methods, tools, and process models. It discusses software quality focus, process frameworks, generic process models, and prescriptive process models including the waterfall model, incremental process model, and RAD model.
In this presentation, it will cover different software development methodologies. These include the common types of SDM, and the pros and cons.
A software development methodology involves several steps. These include planning, structuring, and performance tracking.
In some instances, it may also include extreme programming. The objective is to streamline the process when developing software or any product.
Almost all software development methodologies are non-technical. This means they do not deal with the technical aspects of software design and development. They focus more on the internal operations, and other processes involved in the project.
Take note that each has its specific features. Gauge your options, and choose the best one that suits your needs.
This document outlines a proposed software project management tool. It describes modules for business development officers, project managers, developers, HR managers, and clients. It identifies common problems like underqualified staff, unclear requirements, and changing tools mid-project. The proposed system would allow online project status inquiries, manage projects and validate requirements. It would generate reports on clients, employees, projects, and tasks. The system aims to improve project management and be user friendly.
Software Metrics for Identifying Software Size in Software Development ProjectsVishvi Vidanapathirana
This paper defines the best software metrics that can be used to define the size of the software in the current industry of information technology (IT)
IRJET- Factors in Selection of Construction Project Management Software i...IRJET Journal
The document discusses factors to consider when selecting construction project management software in India. It conducted interviews with 15 experts in the construction industry with experience ranging from 5-30 years. The interviews aimed to understand the software selection process. Based on the literature review and interviews, the document proposes a model for software selection with 8 steps: 1) identify software options, 2) review organization policies, 3) analyze the project's needs, 4) analyze the client's needs, 5) inquire the purpose of planning, 6) analyze software performance and price, 7) check available skills, and 8) select and use software. The model categorizes factors as either project specific or general to guide effective software selection.
The document discusses different techniques for configuring virtual hosting on a server. It describes IP-based virtual hosting where each domain has a unique IP address. Port-based virtual hosting uses different ports to host multiple websites. Name-based virtual hosting is the most common technique, using a single IP address and the domain name to determine which website to serve.
Software Metrics, Project Management and EstimationBulbul Agrawal
The document discusses software metrics, project management, and estimation techniques. It defines different types of metrics including product, process, and project metrics. It also discusses quality metrics, project management fundamentals involving people, product, process and project, and estimation techniques like function point analysis, lines of code estimation, and the COCOMO model. Project scheduling techniques like Gantt charts and critical path analysis are also covered. The conclusion emphasizes that metrics, project management, and estimation are essential for successful software development.
This document provides an introduction to software engineering. It begins with the course outcomes, which are to apply the software engineering lifecycle, gain knowledge of software and UI design, and apply testing guidelines. It then covers topics like the definition of software engineering, its objectives like maintainability and portability, and the software development lifecycle which includes stages like requirements analysis, design, development, testing, and deployment. The importance of software engineering is discussed as helping to reduce complexity, minimize costs, decrease time, and handle large projects. References are provided at the end.
This document discusses software metrics for processes, projects, and products. It defines metrics as quantitative measures used as management tools to provide insight. Metrics in the process domain are used for strategic decisions, while project metrics enable tactical decisions. Size-oriented metrics normalize measures by lines of code or function points. Function-oriented metrics use functionality as a normalization value. Quality metrics measure correctness and maintainability. Establishing a metrics baseline from past projects allows for process, product, and project improvements.
This document provides an overview of software estimation techniques. It discusses why estimation is important, the general estimation process, and factors that impact accuracy such as requirements management and experience. The document also describes different estimation methods like expert judgment, analogy-based, top-down, and bottom-up. It provides examples of estimation tools like Function Point Analysis and COCOMO II for sizing and effort estimation.
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.
The document discusses the need for software engineering principles in developing large software products. It notes that while small programs can be written without engineering principles, large products require a systematic approach to achieve good quality cost-effectively. It also summarizes factors that impact software quality and productivity, including product complexity, team communication challenges, appropriate notations, and the level of technology used. Project size is a major determinant of management control needs and techniques required.
The document discusses various aspects of software project management including the management scope, people, product, process, and project. It also covers software metrics which are quantitative measures used to gain insight into software characteristics and processes. Examples of metrics include lines of code, defects, and customer problems to measure aspects like size, quality, and satisfaction.
This document describes a new methodology called Extreme Software Estimation (XSoft Estimation) for accurately estimating software projects. XSoft Estimation uses COSMIC-Full Function Points (FFP) to measure software size and then applies a model of Development Effort = Size * Variable to estimate effort, cost, and schedule. The methodology was tested on 5 projects measuring their size in CFP units and comparing actual development time between expert and skilled teams, different programming languages and layers. The results showed expert teams and some languages/layers took significantly less time than others for the same sized functionality. XSoft Estimation aims to improve on past methods by basing estimates directly on measured functionality using COSMIC FFP.
The document provides information on various topics related to software engineering:
1. It defines software engineering and discusses why it is required to manage large, scalable software projects and improve quality and cost management.
2. It describes common software processes like specification, development, validation and evolution and different process models like waterfall, iterative and prototyping.
3. It discusses the "software crisis" due to increasing size, costs and delays in software projects and differentiates between a program and software.
4. It explains popular process models like waterfall, iterative and prototyping in detail outlining their phases, advantages and disadvantages.
The document discusses risk analysis and management. It defines risk as a potential problem that may or may not occur, with uncertainty and potential losses. Risk management is described as a process of systematically considering possible risks, problems, or disasters before they happen to avoid or minimize impacts. The document outlines different types of risks like project, product, and business risks. It also discusses the processes of risk identification, assessment, mitigation, monitoring, and management. Project scheduling techniques are also summarized, including work breakdown structure and activity networks.
The document discusses risk analysis and management. It defines risk as a potential problem that may or may not occur, and is characterized by uncertainty and potential losses. Risk management is described as a process of systematically considering all possible risks, problems or disasters before they happen to avoid or minimize impacts. The document outlines different types of risk management approaches, including reactive and proactive, and describes how they aim to reduce past and future risks respectively. It also discusses risk identification, assessment, mitigation, monitoring and management processes.
This document discusses risk analysis and management. It defines risk as a potential problem that may or may not occur, with uncertainty and potential losses. Risk management is described as a process of systematically considering possible risks, problems, or disasters before they happen to avoid or minimize impacts. Reactive risk management responds after incidents, while proactive risk management attempts to reduce future risks. Key aspects of risk management include identification, assessment, mitigation, and monitoring of project, product, and business risks. Various risk analysis techniques are also outlined.
The document discusses various topics related to the C programming language including its definition, features, compilation process, variables, data types, operators, functions like printf and scanf, comments, constants, Boolean values, and common errors. It provides examples and definitions for each topic. The document is a guide to learning C programming basics written by Priyajit Sen from MAKAUT, WB.
One Week Online Staff Training Program (CC+IQAC).pdfPriyajit Sen
The document outlines a one week staff training program on office management and automation organized by Vidyasagar University. It details presentations on web searching and email handling given by Mr. Priyajit Sen on topics such as basic terminologies, search engines, Google search operators, and email management in Gmail. The document provides information on advanced Google search features and other Google products.
The chapter Lifelines of National Economy in Class 10 Geography focuses on the various modes of transportation and communication that play a vital role in the economic development of a country. These lifelines are crucial for the movement of goods, services, and people, thereby connecting different regions and promoting economic activities.
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Training: ISO/IEC 27001 Information Security Management System - EN | PECB
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Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
Leveraging Generative AI to Drive Nonprofit Innovation
Software Project Planning.pptx
1. Software Project Planning
Priyajit Sen
Assistant Professor
Department of Computer Application
MAKAUT, W.B., India
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
2. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Project Planning Objectives:
3. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Purpose of Project Planning:
5. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Steps of Project Planning:
• Identification of project requirements
• Identification of cost estimates
• Identification of risks
• Identification of critical success factors
• Preparation of project charter
• Preparation of project plan
• Commencement of the project
9. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Software Metrics
A software metric is a measure of software characteristics
which are measurable or countable. Software metrics are
valuable for many reasons, including measuring software
performance, planning work items, measuring productivity,
and many other uses.
10. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Classification of Software Metrics
1. Product Metrics: These are the measures of various
characteristics of the software product. The two important
software characteristics are:
• Size and complexity of software.
• Quality and reliability of software.
11. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Contd…
2. Process Metrics: These are the measures of various
characteristics of the software development process. For example,
the efficiency of fault detection. They are used to measure the
characteristics of methods, techniques, and tools that are used for
developing software.
12. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Types of Metrics:
• Internal metrics: Internal metrics are the metrics used for measuring properties that are
viewed to be of greater importance to a software developer. For example, Lines of Code
(LOC) measure.
• External metrics: External metrics are the metrics used for measuring properties that are
viewed to be of greater importance to the user, e.g., portability, reliability, functionality,
usability, etc.
• Hybrid metrics: Hybrid metrics are the metrics that combine product, process, and resource
metrics. For example, cost per FP where FP stands for Function Point Metric.
• Project metrics: Project metrics are the metrics used by the project manager to check the
project's progress. Data from the past projects are used to collect various metrics, like time
and cost; these estimates are used as a base of new software.
13. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Size Oriented Metrics
• LOC Metrics:
It is one of the earliest and simpler metrics for calculating the size of the
computer program. It is generally used in calculating and comparing the
productivity of programmers. These metrics are derived by normalizing
the quality and productivity measures by considering the size of the
product as a metric.
14. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Following are the points regarding LOC measures:
• In size-oriented metrics, LOC is considered to be the normalization value.
• It is an older method that was developed when FORTRAN and COBOL programming
were very popular.
• Productivity is defined as KLOC / EFFORT, where effort is measured in person-
months.
• Size-oriented metrics depend on the programming language used.
• As productivity depends on KLOC, so assembly language code will have more
productivity.
• LOC measure requires a level of detail which may not be practically achievable.
• The more expressive is the programming language, the lower is the productivity.
• LOC method of measurement does not apply to projects that deal with visual (GUI-
based) programming.
• It requires that all organizations must use the same method for counting LOC.
• These metrics are not universally accepted.
15. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Based on the LOC/KLOC count of software, many other metrics can be
computed:
• Errors/KLOC.
• Money/ KLOC.
• Defects/KLOC.
• Pages of documentation/KLOC.
• Errors/PM.
• Productivity = KLOC/PM (effort is measured in person-months).
• Price/ Page of documentation.
16. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Advantages of LOC:
• Simple to measure
Disadvantage of LOC:
• It is defined on the code. For example, it cannot measure the size of the
specification.
• It characterizes only one specific view of size, namely length, it takes no
account of functionality or complexity
• Bad software design may cause an excessive line of code
• It is language dependent
• Users cannot easily understand it
17. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
COCOMO Model:
Boehm proposed COCOMO (Constructive Cost Estimation Model) in
1981.COCOMO is one of the most generally used software estimation models in
the world. COCOMO predicts the efforts and schedule of a software product
based on the size of the software.
In COCOMO, projects are categorized into three types:
1.Organic
2.Semidetached
3.Embedded
18. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Organic Type:
A development project can be treated of the organic type, if the project deals with
developing a well-understood application program, the size of the development
team is reasonably small, and the team members are experienced in developing
similar methods of projects. Examples of this type of projects are simple
business systems, simple inventory management systems, and data
processing systems.
19. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Semidetached Type:
A development project can be treated with semidetached type if the development
consists of a mixture of experienced and inexperienced staff. Team members may
have finite experience in related systems but may be unfamiliar with some aspects
of the order being developed. Example of Semidetached system includes
developing a new operating system (OS), a Database Management System
(DBMS), and complex inventory management system.
20. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Semidetached Type:
A development project can be treated with semidetached type if the development
consists of a mixture of experienced and inexperienced staff. Team members may
have finite experience in related systems but may be unfamiliar with some aspects
of the order being developed. Example of Semidetached system includes
developing a new operating system (OS), a Database Management System
(DBMS), and complex inventory management system.
21. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Embedded Type:
A development project is treated to be of an embedded type, if the software being
developed is strongly coupled to complex hardware, or if the stringent regulations on
the operational method exist. For Example: ATM, Air Traffic control.
22. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Basic COCOMO Model:
The basic COCOMO model provide an accurate size of the project parameters.
The following expressions give the basic COCOMO estimation model:
Effort=a1*(KLOC) a2 PM
Tdev=b1*(efforts)b2 Months
Where
KLOC is the estimated size of the software product indicate in Kilo Lines of
Code,
a1,a2,b1,b2 are constants for each group of software products,
Tdev is the estimated time to develop the software, expressed in months,
Effort is the total effort required to develop the software product, expressed
in person months (PMs).
23. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Estimation of development effort
Organic: Effort = 2.4(KLOC)^1.05 PM
Semi-detached: Effort = 3.0(KLOC)^1.12 PMAD
Embedded: Effort = 3.6(KLOC)^1.20 PM
Estimation of development time
Organic: Tdev = 2.5(Effort)^0.38 Months
Semi-detached: Tdev = 2.5(Effort)^0.35 Months
Embedded: Tdev = 2.5(Effort)^0.32 Months
24. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Example 1: Suppose a project was estimated to be 400 KLOC. Calculate the effort and
development time for each of the three model i.e., organic, semi-detached & embedded.
Solution: The basic COCOMO equation takes the form:
Effort(E)=a1*(KLOC) a2 PM
Tdev(D)=b1*(efforts)b2 Months
Estimated Size of project= 400 KLOC
(i)Organic Mode
E = 2.4 * (400)1.05 = 1295.31 PM
D = 2.5 * (1295.31)0.38=38.07 PM
(ii)Semidetached Mode
E = 3.0 * (400)1.12=2462.79 PM
D = 2.5 * (2462.79)0.35=38.45 PM
(iii) Embedded Mode
E = 3.6 * (400)1.20 = 4772.81 PM
D = 2.5 * (4772.8)0.32 = 38 PM