The document discusses different techniques for estimating software project costs and effort, including decomposition, sizing, and function point analysis. It provides an example of estimating the lines of code and function points for a mechanical CAD software project. Estimates are developed by decomposing the problem into smaller elements and tasks, and estimating the effort required for each. The accuracy of estimates depends on properly sizing the software and having reliable past project metrics.
This document discusses several software cost estimation techniques:
1. Top-down and bottom-up approaches - Top-down estimates system-level costs while bottom-up estimates costs of each module and combines them.
2. Expert judgment - Widely used technique where experts estimate costs based on past similar projects. It utilizes experience but can be biased.
3. Delphi estimation - Estimators anonymously provide estimates in rounds to reach consensus without group dynamics influencing individuals.
4. Work breakdown structure - Hierarchical breakdown of either the product components or work activities to aid bottom-up estimation.
The document discusses factors related to software project size and effort. It provides the following key points:
1) Software development and maintenance can account for a significant portion of economic activity, with estimates that it will account for 12.5% of the US GDP by 1990.
2) Most effort is spent on maintenance rather than development, with estimates that maintenance accounts for 60-90% of total effort.
3) Software project size is categorized based on factors like number of programmers, duration, lines of code, and interactions/complexity. These range from trivial single-programmer projects to extremely large projects involving thousands of programmers over 5-10 years.
4) A 1964 study found that programmers only spent
This Presentation contains all the topics in design concept of software engineering. This is much more helpful in designing new product. You have to consider some of the design concepts that are given in the ppt
The document discusses staffing level estimation over the course of a software development project. It describes how the number of personnel needed varies at different stages: a small group is needed for planning and analysis, a larger group for architectural design, and the largest number for implementation and system testing. It also references models like the Rayleigh curve and Putnam's interpretation that estimate personnel levels over time. Tables show estimates for the distribution of effort, schedule, and personnel across activities for different project sizes. The key idea is that staffing requirements fluctuate throughout the software life cycle, with peaks during implementation and testing phases.
The document discusses the software design process. It begins by explaining that software design is an iterative process that translates requirements into a blueprint for constructing the software. It then describes the main steps and outputs of the design process, which include transforming specifications into design models, reviewing designs for quality, and producing a design document. The document also covers key concepts in software design like abstraction, architecture, patterns, modularity, and information hiding.
This document discusses various design notations that can be used at different levels of software design, including:
- Data flow diagrams, structure charts, HIPO diagrams, pseudo code, and structured flowcharts, which can be used for external, architectural, and detailed design specifications.
- Data flow diagrams use nodes and arcs to represent processing activities and data flow. Structure charts show hierarchical structure and interconnections. HIPO diagrams use a tree structure.
- Other notations discussed include procedure templates for interface specifications, pseudo code for algorithms and logic, and decision tables for complex decision logic.
The document discusses project planning in software engineering. It defines project planning and its importance. It describes the project manager's responsibilities which include project planning, reporting, risk management, and people management. It discusses challenges in software project planning. The RUP process for project planning is then outlined which involves creating artifacts like the business case and software development plan. Risk management is also a key part of project planning.
Formal Specification in Software Engineering SE9koolkampus
This document discusses formal specification techniques for software. It describes algebraic techniques for specifying interfaces as abstract data types and model-based techniques for specifying system behavior. Algebraic specifications define operations and their relationships, while model-based specifications represent the system state using mathematical constructs like sets and sequences. Formal specification finds errors earlier and reduces rework, though it requires more upfront effort. The document also provides an example of formally specifying an air traffic control system and insulin pump.
This document discusses several software cost estimation techniques:
1. Top-down and bottom-up approaches - Top-down estimates system-level costs while bottom-up estimates costs of each module and combines them.
2. Expert judgment - Widely used technique where experts estimate costs based on past similar projects. It utilizes experience but can be biased.
3. Delphi estimation - Estimators anonymously provide estimates in rounds to reach consensus without group dynamics influencing individuals.
4. Work breakdown structure - Hierarchical breakdown of either the product components or work activities to aid bottom-up estimation.
The document discusses factors related to software project size and effort. It provides the following key points:
1) Software development and maintenance can account for a significant portion of economic activity, with estimates that it will account for 12.5% of the US GDP by 1990.
2) Most effort is spent on maintenance rather than development, with estimates that maintenance accounts for 60-90% of total effort.
3) Software project size is categorized based on factors like number of programmers, duration, lines of code, and interactions/complexity. These range from trivial single-programmer projects to extremely large projects involving thousands of programmers over 5-10 years.
4) A 1964 study found that programmers only spent
This Presentation contains all the topics in design concept of software engineering. This is much more helpful in designing new product. You have to consider some of the design concepts that are given in the ppt
The document discusses staffing level estimation over the course of a software development project. It describes how the number of personnel needed varies at different stages: a small group is needed for planning and analysis, a larger group for architectural design, and the largest number for implementation and system testing. It also references models like the Rayleigh curve and Putnam's interpretation that estimate personnel levels over time. Tables show estimates for the distribution of effort, schedule, and personnel across activities for different project sizes. The key idea is that staffing requirements fluctuate throughout the software life cycle, with peaks during implementation and testing phases.
The document discusses the software design process. It begins by explaining that software design is an iterative process that translates requirements into a blueprint for constructing the software. It then describes the main steps and outputs of the design process, which include transforming specifications into design models, reviewing designs for quality, and producing a design document. The document also covers key concepts in software design like abstraction, architecture, patterns, modularity, and information hiding.
This document discusses various design notations that can be used at different levels of software design, including:
- Data flow diagrams, structure charts, HIPO diagrams, pseudo code, and structured flowcharts, which can be used for external, architectural, and detailed design specifications.
- Data flow diagrams use nodes and arcs to represent processing activities and data flow. Structure charts show hierarchical structure and interconnections. HIPO diagrams use a tree structure.
- Other notations discussed include procedure templates for interface specifications, pseudo code for algorithms and logic, and decision tables for complex decision logic.
The document discusses project planning in software engineering. It defines project planning and its importance. It describes the project manager's responsibilities which include project planning, reporting, risk management, and people management. It discusses challenges in software project planning. The RUP process for project planning is then outlined which involves creating artifacts like the business case and software development plan. Risk management is also a key part of project planning.
Formal Specification in Software Engineering SE9koolkampus
This document discusses formal specification techniques for software. It describes algebraic techniques for specifying interfaces as abstract data types and model-based techniques for specifying system behavior. Algebraic specifications define operations and their relationships, while model-based specifications represent the system state using mathematical constructs like sets and sequences. Formal specification finds errors earlier and reduces rework, though it requires more upfront effort. The document also provides an example of formally specifying an air traffic control system and insulin pump.
The document outlines the various workflows that make up the software development process, including management, environment, requirements, design, implementation, assessment, and deployment workflows. It describes the key activities for each workflow, such as controlling the process, evolving requirements and design artifacts, programming components, assessing product quality, and transitioning the product to users. The document also notes that iterations consist of sequential activities that vary depending on where an iteration falls in the development cycle.
The document discusses key concepts in software design including abstraction, architecture, patterns, modularity, information hiding, and functional independence. It explains that software design is an iterative process that transforms requirements into a blueprint for constructing the software through design models, data structures, system architecture, interfaces, and components. Good software design exhibits qualities like being bug-free, suitable for its intended purpose, and a pleasurable user experience.
This ppt describes about the bug.. and how bugs provide clues for debugging in software? , What will be consider in debugging a software? Debugging strategies and automatic debugging. The ppt prepared based on examination point of view for software engineering subject
This document discusses major factors that influence software cost estimation. It identifies programmer ability, product complexity, product size, available time, required reliability, and level of technology as key factors. It provides details on how each factor affects software cost, including equations to estimate programming time and effort based on variables like source lines of code and developer months. Program complexity is broken into three levels: application, utility, and system software. The document also discusses how underestimating code size and inability to compress development schedules can impact cost estimates.
The document provides an overview of object-oriented concepts. It discusses that software development is increasingly relying on object-oriented paradigms due to benefits like improved modeling of real-world problems and reusability. Key concepts discussed include classes and objects, encapsulation, inheritance, polymorphism, and object composition. Various object-oriented methodologies like those proposed by Coad/Yourdon, Booch, Rumbaugh, and Jacobson are also summarized.
Coupling refers to the interdependence between software modules. There are several types of coupling from loose to tight, with the tightest being content coupling where one module relies on the internal workings of another. Cohesion measures how strongly related the functionality within a module is, ranging from coincidental to functional cohesion which is the strongest. Tight coupling and low cohesion can make software harder to maintain and reuse modules.
The document discusses checkpoints in the software project management process. It describes three types of joint management reviews: major milestones, minor milestones, and status assessments. Major milestones provide visibility on system-wide issues and verify phase aims. Minor milestones review iteration content and authorize continued work. Status assessments provide frequent management insight. Different stakeholders have different concerns at checkpoints.
Unit testing is often automated but it can also be done manually. Debugging is a process of line by line execution of the code/ script with the intent of finding errors/ fixing the defects.
This document discusses software project management artifacts. Artifacts are organized into management and engineering sets. The management set includes artifacts like the work breakdown structure, business case, and software development plan. The engineering set includes requirement, design, implementation, and deployment artifact sets. Each set captures information through various notations and tools to manage the software development lifecycle.
Case tools(computer Aided software Engineering)Self-employed
CASE stands for Computer Aided Software Engineering and refers to the development and maintenance of software projects using various software tools to increase speed and handle changing market demands. There are classic CASE tools like debuggers and compilers as well as real CASE tools that support multiple phases of development from analysis and design to coding. Real CASE tools include diagramming, process modeling, project management, documentation, analysis, design, configuration management, change control, programming, prototyping, web development, quality assurance, and maintenance tools.
This document discusses block ciphers, including their definition, structure, design principles, and avalanche effect. A block cipher operates on fixed-length blocks of bits and uses a symmetric key. It encrypts bits in blocks rather than one by one. Block ciphers have advantages like high diffusion but are slower than stream ciphers. They are built using the Feistel cipher structure with a number of rounds and keys. Important design principles for block ciphers include the number of rounds, design of the round function, and key schedule algorithm. The avalanche effect causes a small input change to result in a significant output change.
UML (Unified Modeling Language) is a diagramming language used for object-oriented programming. It can be used to describe the organization, execution, use, and deployment of a program. Design patterns describe common solutions to programming problems and always use UML diagrams. This document focuses on class diagrams, which show classes, interfaces, and their relationships. It provides examples of how to depict classes with variables and methods, and relationships between classes like inheritance.
This document outlines a 10-step process called Step Wise for project planning. It involves selecting the project, identifying objectives and scope, analyzing project characteristics, identifying products and activities, estimating effort, identifying risks, allocating resources, reviewing and publishing the plan, and executing the plan through lower levels of detailed planning. Project planning establishes objectives, analyzes the project, and identifies an infrastructure, products, activities, resources, and quality controls to guide successful execution.
This document discusses software metrics and measurement. It describes how measurement can be used throughout the software development process to assist with estimation, quality control, productivity assessment, and project control. It defines key terms like measures, metrics, and indicators and explains how they provide insight into the software process and product. The document also discusses using metrics to evaluate and improve the software process as well as track project status, risks, and quality. Finally, it covers different types of metrics like size-oriented, function-oriented, and quality metrics.
This document discusses 15 factors that influence quality and productivity in software development processes: individual ability, team communication, product complexity, appropriate notations, systematic approaches, change control, level of technology, level of reliability, problem understanding, available time, required skills, facilities and resources, adequacy of training, management skills, and appropriate goals. Each factor is described in 1-3 paragraphs on how it can impact quality and productivity.
The document discusses various software process models including prescriptive models like waterfall model and incremental process model. It also covers evolutionary models like prototyping and spiral process model. Specialized models covered are component based development, formal methods model, aspect oriented development and unified process model. The key highlights are that different models are suited for different situations based on project needs and each model has advantages and disadvantages to consider.
The document discusses requirements modeling and analysis modeling in software engineering. It provides information on:
1) The different types of models that can be created during requirements modeling, including requirements models, design models, scenario-based models, data models, class-based models, flow-oriented models, and behavioral models.
2) The purposes of requirements modeling, which include representing customer requirements, gaining a better understanding of the system, and providing information to help with system design and development.
3) Key principles of requirements modeling, such as representing the information, functional, and behavioral domains of the system and partitioning models in a layered/hierarchical way.
4) Specific modeling techniques like scenario-based modeling, data
The Delphi technique was developed to gain expert consensus on estimates without group influence. It can be adapted for software cost estimation by having estimators provide anonymous estimates in rounds. A coordinator summarizes estimates between rounds and asks outliers to justify differences, iterating until consensus. A variation allows group discussion with the coordinator but maintains anonymous estimating to focus on variances. Additional information may be needed if consensus is not reached.
UML (Unified Modeling Language) is a standardized modeling language used in software engineering to visualize the design of a system. There are two main types of UML diagrams: structural diagrams that depict the static elements of a system, and behavioral diagrams that show the dynamic interactions between structural elements over time. Behavioral diagrams include sequence diagrams, activity diagrams, and state machine diagrams. Sequence diagrams specifically depict the sequential order of interactions between objects in a system through message passing and lifelines.
The document discusses software development lifecycles and strategies. It describes:
1) Common lifecycle activities like planning, development, testing and maintenance. Different models can be used depending on the product.
2) Solution strategies are developed to determine the nature of possible solutions and provide a framework for design and implementation. The best strategies are developed by trained groups using techniques like brainstorming.
3) The phased lifecycle model involves a series of defined activities with inputs, processes, and outputs at each phase. Resources are required to complete each defined phase.
Estimation of resources, cost, and schedule for a software engineering effort requires experience, access to good historical information, and the courage to commit to quantitative predictions when qualitative information is all that exists. Halstead’s Measure & COCOMO Modeol COCOMO II Model of Estimation techniquesused or S/w Developments and Maintenance
1. Software project estimation involves decomposing a project into smaller problems like major functions and activities. Estimates can be based on similar past projects, decomposition techniques, or empirical models.
2. Accurate estimates depend on properly estimating the size of the software product using techniques like lines of code, function points, or standard components. Baseline metrics from past projects are then applied to the size estimates.
3. Decomposition techniques involve estimating the effort needed for each task or function and combining them. Process-based estimation decomposes the software process into tasks while problem-based estimation decomposes the problem.
The document outlines the various workflows that make up the software development process, including management, environment, requirements, design, implementation, assessment, and deployment workflows. It describes the key activities for each workflow, such as controlling the process, evolving requirements and design artifacts, programming components, assessing product quality, and transitioning the product to users. The document also notes that iterations consist of sequential activities that vary depending on where an iteration falls in the development cycle.
The document discusses key concepts in software design including abstraction, architecture, patterns, modularity, information hiding, and functional independence. It explains that software design is an iterative process that transforms requirements into a blueprint for constructing the software through design models, data structures, system architecture, interfaces, and components. Good software design exhibits qualities like being bug-free, suitable for its intended purpose, and a pleasurable user experience.
This ppt describes about the bug.. and how bugs provide clues for debugging in software? , What will be consider in debugging a software? Debugging strategies and automatic debugging. The ppt prepared based on examination point of view for software engineering subject
This document discusses major factors that influence software cost estimation. It identifies programmer ability, product complexity, product size, available time, required reliability, and level of technology as key factors. It provides details on how each factor affects software cost, including equations to estimate programming time and effort based on variables like source lines of code and developer months. Program complexity is broken into three levels: application, utility, and system software. The document also discusses how underestimating code size and inability to compress development schedules can impact cost estimates.
The document provides an overview of object-oriented concepts. It discusses that software development is increasingly relying on object-oriented paradigms due to benefits like improved modeling of real-world problems and reusability. Key concepts discussed include classes and objects, encapsulation, inheritance, polymorphism, and object composition. Various object-oriented methodologies like those proposed by Coad/Yourdon, Booch, Rumbaugh, and Jacobson are also summarized.
Coupling refers to the interdependence between software modules. There are several types of coupling from loose to tight, with the tightest being content coupling where one module relies on the internal workings of another. Cohesion measures how strongly related the functionality within a module is, ranging from coincidental to functional cohesion which is the strongest. Tight coupling and low cohesion can make software harder to maintain and reuse modules.
The document discusses checkpoints in the software project management process. It describes three types of joint management reviews: major milestones, minor milestones, and status assessments. Major milestones provide visibility on system-wide issues and verify phase aims. Minor milestones review iteration content and authorize continued work. Status assessments provide frequent management insight. Different stakeholders have different concerns at checkpoints.
Unit testing is often automated but it can also be done manually. Debugging is a process of line by line execution of the code/ script with the intent of finding errors/ fixing the defects.
This document discusses software project management artifacts. Artifacts are organized into management and engineering sets. The management set includes artifacts like the work breakdown structure, business case, and software development plan. The engineering set includes requirement, design, implementation, and deployment artifact sets. Each set captures information through various notations and tools to manage the software development lifecycle.
Case tools(computer Aided software Engineering)Self-employed
CASE stands for Computer Aided Software Engineering and refers to the development and maintenance of software projects using various software tools to increase speed and handle changing market demands. There are classic CASE tools like debuggers and compilers as well as real CASE tools that support multiple phases of development from analysis and design to coding. Real CASE tools include diagramming, process modeling, project management, documentation, analysis, design, configuration management, change control, programming, prototyping, web development, quality assurance, and maintenance tools.
This document discusses block ciphers, including their definition, structure, design principles, and avalanche effect. A block cipher operates on fixed-length blocks of bits and uses a symmetric key. It encrypts bits in blocks rather than one by one. Block ciphers have advantages like high diffusion but are slower than stream ciphers. They are built using the Feistel cipher structure with a number of rounds and keys. Important design principles for block ciphers include the number of rounds, design of the round function, and key schedule algorithm. The avalanche effect causes a small input change to result in a significant output change.
UML (Unified Modeling Language) is a diagramming language used for object-oriented programming. It can be used to describe the organization, execution, use, and deployment of a program. Design patterns describe common solutions to programming problems and always use UML diagrams. This document focuses on class diagrams, which show classes, interfaces, and their relationships. It provides examples of how to depict classes with variables and methods, and relationships between classes like inheritance.
This document outlines a 10-step process called Step Wise for project planning. It involves selecting the project, identifying objectives and scope, analyzing project characteristics, identifying products and activities, estimating effort, identifying risks, allocating resources, reviewing and publishing the plan, and executing the plan through lower levels of detailed planning. Project planning establishes objectives, analyzes the project, and identifies an infrastructure, products, activities, resources, and quality controls to guide successful execution.
This document discusses software metrics and measurement. It describes how measurement can be used throughout the software development process to assist with estimation, quality control, productivity assessment, and project control. It defines key terms like measures, metrics, and indicators and explains how they provide insight into the software process and product. The document also discusses using metrics to evaluate and improve the software process as well as track project status, risks, and quality. Finally, it covers different types of metrics like size-oriented, function-oriented, and quality metrics.
This document discusses 15 factors that influence quality and productivity in software development processes: individual ability, team communication, product complexity, appropriate notations, systematic approaches, change control, level of technology, level of reliability, problem understanding, available time, required skills, facilities and resources, adequacy of training, management skills, and appropriate goals. Each factor is described in 1-3 paragraphs on how it can impact quality and productivity.
The document discusses various software process models including prescriptive models like waterfall model and incremental process model. It also covers evolutionary models like prototyping and spiral process model. Specialized models covered are component based development, formal methods model, aspect oriented development and unified process model. The key highlights are that different models are suited for different situations based on project needs and each model has advantages and disadvantages to consider.
The document discusses requirements modeling and analysis modeling in software engineering. It provides information on:
1) The different types of models that can be created during requirements modeling, including requirements models, design models, scenario-based models, data models, class-based models, flow-oriented models, and behavioral models.
2) The purposes of requirements modeling, which include representing customer requirements, gaining a better understanding of the system, and providing information to help with system design and development.
3) Key principles of requirements modeling, such as representing the information, functional, and behavioral domains of the system and partitioning models in a layered/hierarchical way.
4) Specific modeling techniques like scenario-based modeling, data
The Delphi technique was developed to gain expert consensus on estimates without group influence. It can be adapted for software cost estimation by having estimators provide anonymous estimates in rounds. A coordinator summarizes estimates between rounds and asks outliers to justify differences, iterating until consensus. A variation allows group discussion with the coordinator but maintains anonymous estimating to focus on variances. Additional information may be needed if consensus is not reached.
UML (Unified Modeling Language) is a standardized modeling language used in software engineering to visualize the design of a system. There are two main types of UML diagrams: structural diagrams that depict the static elements of a system, and behavioral diagrams that show the dynamic interactions between structural elements over time. Behavioral diagrams include sequence diagrams, activity diagrams, and state machine diagrams. Sequence diagrams specifically depict the sequential order of interactions between objects in a system through message passing and lifelines.
The document discusses software development lifecycles and strategies. It describes:
1) Common lifecycle activities like planning, development, testing and maintenance. Different models can be used depending on the product.
2) Solution strategies are developed to determine the nature of possible solutions and provide a framework for design and implementation. The best strategies are developed by trained groups using techniques like brainstorming.
3) The phased lifecycle model involves a series of defined activities with inputs, processes, and outputs at each phase. Resources are required to complete each defined phase.
Estimation of resources, cost, and schedule for a software engineering effort requires experience, access to good historical information, and the courage to commit to quantitative predictions when qualitative information is all that exists. Halstead’s Measure & COCOMO Modeol COCOMO II Model of Estimation techniquesused or S/w Developments and Maintenance
1. Software project estimation involves decomposing a project into smaller problems like major functions and activities. Estimates can be based on similar past projects, decomposition techniques, or empirical models.
2. Accurate estimates depend on properly estimating the size of the software product using techniques like lines of code, function points, or standard components. Baseline metrics from past projects are then applied to the size estimates.
3. Decomposition techniques involve estimating the effort needed for each task or function and combining them. Process-based estimation decomposes the software process into tasks while problem-based estimation decomposes the problem.
The document discusses software cost estimation techniques. It begins by introducing software productivity metrics like lines of code and function points. It then describes various estimation techniques, highlighting the COCOMO model. COCOMO is an algorithmic cost model that relates project size and factors to effort. It has different models for early design, reuse, and post-architecture. The document concludes by mentioning recent trends in software cost estimation like neural networks, analogy estimation, and Bayesian belief networks.
The document discusses various techniques for estimating software effort, including parametric models, expert judgment, analogy, and bottom-up and top-down approaches. It describes the bottom-up approach as breaking a project into tasks, estimating effort for each, and summing totals. Top-down uses parametric models relating effort to system size and productivity factors. Function point analysis and COSMIC function points are presented as top-down methods to measure system size independently of programming language.
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.
This document discusses different software estimation techniques including LOC-based, FP-based, and process-based estimation. It provides examples of estimating effort, cost, and schedule for a CAD software project using each technique. LOC-based estimation involves decomposing the software into functions and estimating LOC for each. FP-based estimation involves estimating information domain values and complexity factors to calculate function points. Process-based estimation involves estimating effort for each software process activity and function. The document also discusses software metrics, size-oriented metrics using LOC as a normalization value, and function-oriented metrics using function points. It provides steps for establishing a goal-driven software metrics program.
This document provides an overview of several software estimation techniques: lines of code estimation, function point estimation, three point estimation, work breakdown structure based estimation, use case based estimation, and estimation in agile projects. It discusses the basics of each technique, including counting lines of code, function points types, the three point estimation formula, how to create a work breakdown structure, and use case point estimation. Examples are provided to illustrate various techniques.
Abstract The management of software cost, development effort and project planning are the key aspects of software development. Throughout the sixty-odd years of software development, the industry has gone at least four generations of programming languages and three major development paradigms. Still the total ability to move consistently from idea to product is yet to be achieved. In fact, recent studies document that the failure rate for software development has risen almost to 50 percent. There is no magic in managing software development successfully, but a number of issues related to software development make it unique. The basic problem of software development is risky. Some example of risk is error in estimation, schedule slips, project cancelled after numerous slips, high defect rate, system goes sour, business misunderstanding, false feature rich, staff turnover. XSoft Estimation addresses the risks by accurate measurement. A new methodology to estimate using software COSMIC-Full Function Point and named as EXtreme Software Estimation (XSoft Estimation). Based on the experience gained on the original XSoft project develpment, this paper describes what makes XSoft Estimation work from sizing to estimation. Keywords: -COSMIC function size unit, XSoft Estimation, XSoft Measurement, Cost Estimation.
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.
SE - Lecture 11 - Software Project Estimation.pptxTangZhiSiang
This document discusses software project estimation. It begins by outlining the major activities of software project planning, which includes estimation. It then describes the estimation process, which involves predicting time, cost, and resources required. Several estimation techniques are discussed, including using historical metrics, task breakdown, size estimates, and automated tools. Accuracy depends on properly defining scope, available metrics, and team abilities. The document provides examples of using lines of code and function point approaches to estimate effort and cost.
FUNDAMENTALS OF software developement and a detail outcome of the software based on the project management and the various metrics and measurements development in software engineering
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.
This document discusses various metrics for estimating project size, including lines of code and function points. It describes the advantages and disadvantages of lines of code, such as how coding style can affect the count. Function points measure size based on the number of user inputs, outputs, inquiries, files and interfaces. The document also covers identifying, assessing and containing risks in software projects. Risk identification involves categorizing risks, while assessment ranks risks based on probability and cost. Risk containment plans to avoid, transfer or reduce the most damaging risks.
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.
The document discusses various techniques for planning software projects, including scoping the project, estimating effort and timelines, identifying risks, creating schedules, and developing control strategies. It covers estimating project size through techniques like function point analysis and lines of code counting. It also discusses decomposing projects into sub-problems and estimating effort for each through methods like problem-based estimation and process-based estimation using standard components. Data flow diagrams and entity relationship diagrams are presented as tools for modeling systems and defining requirements.
The document discusses various techniques for planning software projects, including scoping the project, estimating effort and timelines, identifying risks, creating schedules, and developing control strategies. It covers estimating project size through techniques like function point analysis and lines of code counting. It also discusses decomposing projects into sub-problems and estimating effort for each through methods like problem-based estimation and process-based estimation using standard components. Data flow diagrams and entity relationship diagrams are presented as tools for modeling systems and defining requirements.
AN APPROACH FOR SOFTWARE EFFORT ESTIMATION USING FUZZY NUMBERS AND GENETIC AL...csandit
One of the most critical tasks during the software development life cycle is that of estimating the effort and time involved in the development of the software product. Estimation may be performed by many ways such as: Expert judgments, Algorithmic effort estimation, Machine
learning and Analogy-based estimation. In which Analogy-based software effort estimation is the process of identifying one or more historical projects that are similar to the project being developed and then using the estimates from them. Analogy-based estimation is integrated with Fuzzy numbers in order to improve the performance of software project effort estimation during
the early stages of a software development lifecycle. Because of uncertainty associated with attribute measurement and data availability, fuzzy logic is introduced in the proposed model.But hardly a historical project is exactly same as the project being estimated due to some distance associated in similarity distance. This means that the most similar project still has a
similarity distance with the project being estimated in most of the cases. Therefore, the effort needs to be adjusted when the most similar project has a similarity distance with the project being estimated. To adjust the reused effort, we build an adjustment mechanism whose
algorithm can derive the optimal adjustment on the reused effort using Genetic Algorithm. The proposed model Combine the fuzzy logic to estimate software effort in early stages with Genetic algorithm based adjustment mechanism may result to near the correct effort estimation.
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TRENDS IN SOLID WASTE MANAGEMENT Digital Technologies can play a crucial role in making Metro Rizal's waste management systems more circular and sustainable
World trade center in kerala proposal- AR. DEEKSHITH MAROLI 724519251008 REPORTdeekshithmaroli666
World trade center live proposal in kerala.
Future of our nation is looking towards kerala..?
Yes, because the biggest sludge less port is going to open in kerala soon and also about the hidden massing growth of tourism, it , business sector
This is Stage one of my Future Deep Strike Aircraft project to develop a replacement for the FB-111 / F-111F / F-15E and B-1B. This stage covers requirements and threats. Stage 2 will cover Design Studies, and the CCA Wingman.
Menus are ubiquitous in websites and applications of all types. They are critical to accessing the information and actions that users need, yet they can be very frustrating to use. In our UX consulting practice, many clients have come to us for help solving problems with menus, such as scaling to handle long lists of options, and overcoming usability issues with hover and flyout menus. In this presentation we’ll review what we have learned about best practices for designing mega menus, context menus, hamburger menus, full page menus and other types, and share case studies of menu redesigns we have worked on for enterprise applications, mobile apps, and information-rich websites.
Value based approach to heritae conservation -.docxJIT KUMAR GUPTA
Text defines the role, importance and relevance of value based approach in identification, preservation and conservation of heritage to make it more productive and community centric.
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Decomposition technique In Software Engineering
1.
2. Group Members
Name Roll No
Bilal Hassan 16-Arid-1524
Ali Hamza 16-Arid-1510
M Hamza Haidar 16-Arid-1542
Ehtesham Ahsan 16-Arid-1526
3. Decomposition Technique
Software project estimation is a form of problem solving,(i.e., developing a cost
and effort estimate for a software project)
For this reason, you should decompose the problem, characterizing it as a set of
smaller (and hopefully, more manageable) problems.
The decomposition approach was discussed from two different points of view:
decomposition of the problem and decomposition of the process. Estimation uses
one or both forms.
4. Software sizing
The accuracy of a software project estimate is predicated on a number of
things:
(1)The degree to which you have properly estimated the size of the product to be
built.
(2) The ability to translate the size estimate into human effort, calendar time, and
dollars (a function of the availability of reliable software metrics from past
projects).
(3)The degree to which the project plan reflects the abilities of the software team.
5. Explanation
Sizing represents your first major challenge as a planner.
If a direct approach is taken, size can be measured in lines of code (LOC). If an
indirect approach is chosen, size is represented as function points (FP).
6. Four different approaches to the sizing
problem
• “Fuzzy logic” sizing. To apply this approach, the planner must identify the type
of application.
Function point sizing. The planner develops estimates of the information
domain characteristics .
Change sizing. The planner estimates the number and type (e.g., reuse, adding
code, changing code, deleting code) of modifications that must be accomplished.
7. Conti…..
Standard component sizing. Software is composed of a number of different
“standard components” that are generic to a particular application area. For
example, the standard components for an information system are sub systems,
modules, screens, reports, interactive programs, batch programs, files, LOC, and
object-level instructions.
8. Problem-Based Estimation
LOC and FP data are used in two ways during software project estimation:
(1) As estimation variables to “size” each element of the software .
(2) As baseline metrics collected from past projects and used in conjunction with
estimation variables to develop cost and effort projection.
LOC and FP estimation are separate estimation technique.
LOC or FP (the estimation variable) is estimated for each function.
Yet both have a number of characteristics in common.
9. Conti…..
When LOC is used as the estimation variable, decomposition is absolutely
essential and is often taken to significant levels of detail. The greater the degree
of subdividing, the more likely accurate estimates of LOC can be developed.
For FP estimates, decomposition works differently. Rather than focusing on
function, each of the information variety characteristics inputs, outputs, data files,
inquiries, and external interfaces.
10. Calculator
A three-point or expected value can then be computed. The expected value for
the estimation variable (size) Scan be computed as a weighted average of the
optimistic (sopt), most likely (sm), and pessimistic (spess) estimates. For
example,
S=(sopt + 4sm + spess )/6
11. An Example of LOC-Based Estimation
As an example of LOC problem-based estimation techniques, I consider
a software package to be developed for a computer-aided design
application for mechanical components.
The software is to execute on an engineering workstation and must
interface with various computer graphics peripherals including a mouse,
digitizer, high-resolution color display, and laser printer.
12. Conti…..
The mechanical CAD software will accept two- and three-dimensional geometric
data from an engineer. The engineer will work together and control the CAD
system through a user interface that will display characteristics of good
human/machine interface design.
Design analysis modules will be developed to produce the required output, which
will be displayed on a variety of graphics devices. The software will be designed
to control and interact with peripheral devices that include a mouse, digitizer, laser
printer, and plotter.
13. An Example of FP-Based Estimation
Decomposition for FP-based estimation focuses on information domain
values rather than software functions. Referring to the table presented in
below, you would estimate inputs, outputs, inquiries, files, and external
interfaces for the CAD software. An FP value is computed using the
technique. For the purposes of this estimate, the complexity weighting
factor is assumed to be average. Below figure presents the results of this
estimate.
16. Calculation
Finally, the estimated number of FP is derived:
FP(estimated) =count total *[0.65 +0.01 *(Fi)] = 224
Based on a loaded labor rate of $8000 per month, the cost per FP is
approximately $1230. Based on the FP estimate and the historical productivity
data, the total estimated project cost is $461,000 and the estimated effort is 58
person-months
17. Process-Based Estimation
The most common technique for estimating a project .The process is
decomposed into a relatively small set of tasks and the effort required to
complete each task is estimated.
18. Estimation with Use Cases
Developing an estimation approach with use cases is problematic for the following
reasons.
1) Use cases are described using many different formats and styles—there is no
standard form.
2) Use cases represent an external view (the user’s view) of the software and can
therefore be written at many different levels of concept.
3)Use cases do not address the complexity of the functions and features that are
described.
4) Use cases can describe complex behavior (e.g., interactions) that involve many
functions and features.
19. Reconciling Estimates
What happens when agreement between estimates is poor? :
(1) the scope of the project is not sufficiently understood or has been
misunderstood by the planner.
(2) output data used for problem-based estimation techniques is unsuitable for the
application.
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