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.
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.
Risk management involves identifying potential risks, assessing their probability and impact, prioritizing risks, developing strategies to mitigate high-priority risks, and continuously monitoring risks throughout the project. There are different categories of risk including project risks, technical risks, business risks, known risks, and unpredictable risks. Effective risk management requires proactively identifying risks, tracking them over time, taking steps to reduce impact or likelihood, and open communication across teams.
- The document discusses the relationship between requirement engineering processes and risk management in software development projects.
- It notes that many software projects fail or go over budget due to poor requirement engineering, including a lack of understanding of client requirements and frequent changes.
- The author conducted a survey of 23 software professionals from 9 companies to assess how requirement engineering processes impact risk management.
- The survey found that the vast majority of respondents believed that requirement engineering is important or very important for improving risk management and that it enables better management of requirements and assessment of changing requirements.
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.
Implementation of Risk-Based Approach for Quality & Cost OptimizationSonata Software
As a practiced trend in IT projects, Testing is performed only towards the end of a project. Teams
dedicate hours to test possible risks and flaws after the project is ready to run. As software testing at
this level invites several last minute modifications that can cause discomfort, or sometimes even refute
the very concept of the project, it has become the need of the hour to come up with a way to ensure
detection and reduction of risks, at an early stage of the project. Risk-Based Testing, or RBT as referred
to in this paper, is a procedure in software testing which is used to prioritize the development and
execution of tests based upon the impact and likelihood of failure of the functionality or aspect being
tested based on existing patterns of risk.
Through this testing technique, a software test
engineer can now select tests based on risk even before the initiation of the projectThis paper outlines the Risk-Based Testing approach and describes how Risk-Based Testing can positively impact the development life-cycle based on business-oriented factors, offering organizations an actionable plan for starting a Risk-Based Testing approach for projects.
Risk management involves identifying potential problems, assessing their likelihood and impacts, and developing strategies to address them. There are two main risk strategies - reactive, which addresses risks after issues arise, and proactive, which plans ahead. Key steps in proactive risk management include identifying risks through checklists, estimating their probability and impacts, developing mitigation plans, monitoring risks and mitigation effectiveness, and adjusting plans as needed. Common risk categories include project risks, technical risks, and business risks.
This comprehensive risk report provides a detailed analysis of potential risks and vulnerabilities within a company that conducts self-audits. Offering insights into both operational and financial aspects, the report identifies areas of concern, outlines risk mitigation strategies, and aims to enhance transparency and governance within the organization. By proactively addressing risks, the company demonstrates its commitment to effective self-regulation and sound business practices.
The document discusses the concept of risk and risk management process in developing PROTON's Intranet. It identifies 10 risks related to requirements, hardware, skills, performance, attrition, technology change, underestimating size and cost, and organizational decisions. It also lists some risk management best practices and tools like RAD, QA, version control, disaster recovery and business continuity planning.
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.
Risk management involves identifying potential risks, assessing their probability and impact, prioritizing risks, developing strategies to mitigate high-priority risks, and continuously monitoring risks throughout the project. There are different categories of risk including project risks, technical risks, business risks, known risks, and unpredictable risks. Effective risk management requires proactively identifying risks, tracking them over time, taking steps to reduce impact or likelihood, and open communication across teams.
- The document discusses the relationship between requirement engineering processes and risk management in software development projects.
- It notes that many software projects fail or go over budget due to poor requirement engineering, including a lack of understanding of client requirements and frequent changes.
- The author conducted a survey of 23 software professionals from 9 companies to assess how requirement engineering processes impact risk management.
- The survey found that the vast majority of respondents believed that requirement engineering is important or very important for improving risk management and that it enables better management of requirements and assessment of changing requirements.
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.
Implementation of Risk-Based Approach for Quality & Cost OptimizationSonata Software
As a practiced trend in IT projects, Testing is performed only towards the end of a project. Teams
dedicate hours to test possible risks and flaws after the project is ready to run. As software testing at
this level invites several last minute modifications that can cause discomfort, or sometimes even refute
the very concept of the project, it has become the need of the hour to come up with a way to ensure
detection and reduction of risks, at an early stage of the project. Risk-Based Testing, or RBT as referred
to in this paper, is a procedure in software testing which is used to prioritize the development and
execution of tests based upon the impact and likelihood of failure of the functionality or aspect being
tested based on existing patterns of risk.
Through this testing technique, a software test
engineer can now select tests based on risk even before the initiation of the projectThis paper outlines the Risk-Based Testing approach and describes how Risk-Based Testing can positively impact the development life-cycle based on business-oriented factors, offering organizations an actionable plan for starting a Risk-Based Testing approach for projects.
Risk management involves identifying potential problems, assessing their likelihood and impacts, and developing strategies to address them. There are two main risk strategies - reactive, which addresses risks after issues arise, and proactive, which plans ahead. Key steps in proactive risk management include identifying risks through checklists, estimating their probability and impacts, developing mitigation plans, monitoring risks and mitigation effectiveness, and adjusting plans as needed. Common risk categories include project risks, technical risks, and business risks.
This comprehensive risk report provides a detailed analysis of potential risks and vulnerabilities within a company that conducts self-audits. Offering insights into both operational and financial aspects, the report identifies areas of concern, outlines risk mitigation strategies, and aims to enhance transparency and governance within the organization. By proactively addressing risks, the company demonstrates its commitment to effective self-regulation and sound business practices.
The document discusses the concept of risk and risk management process in developing PROTON's Intranet. It identifies 10 risks related to requirements, hardware, skills, performance, attrition, technology change, underestimating size and cost, and organizational decisions. It also lists some risk management best practices and tools like RAD, QA, version control, disaster recovery and business continuity planning.
The document discusses risk analysis and management for software projects. It defines risks as potential problems that could affect project completion. The goal of risk analysis is to help teams understand and manage uncertainty. Key steps include identifying risks, estimating their probability and impact, prioritizing the most important risks, and developing a Risk Mitigation, Monitoring, and Management Plan to avoid, minimize, or prepare for the risks. The document provides examples of risk categories and checklists to help identify project, technical, and business risks.
Kumar Bishwakarma gave a presentation on the basics of risk management. He discussed (1) reactive and proactive risk handling strategies, with reactive focusing on problems after they occur and proactive identifying risks in advance. He also covered (2) software risks like project, technical, business, known, predictable and unpredictable risks. Finally, he explained the process of (3) risk identification, projection, assessment, refinement, and developing a risk management, mitigation, monitoring and management plan to address risks throughout a project.
The document discusses risk analysis and management for software projects. It defines risks as potential problems that could affect project completion. The goal of risk analysis is to help teams understand and manage uncertainty. Key aspects covered include identifying risks, assessing probability and impact, prioritizing risks, developing risk mitigation plans, and monitoring risks during the project. The document provides examples of risk categories, analysis steps, and strategies for proactive versus reactive risk management.
Defect effort prediction models in software maintenance projectsiaemedu
The document discusses models for predicting defects in software maintenance projects. It describes how data on defects found during testing is recorded and used by reliability models to predict remaining defects. The paper proposes exploring defect data through appropriate statistics and predictive models like decision trees and Naive Bayes classifiers. It outlines steps for analyzing defect data with statistics to gain insights, including using ratios of defects found before and after release to assess quality. Graphs are suggested to examine the impact of previous releases on current release quality.
The document outlines the plan for developing an online examination system, including objectives to securely connect educational institutions to the system and allow teachers to create exams, as well as limitations of only supporting multiple choice questions. A team of 6 people is organized with roles including project manager, software designer, programmers, and tester. The system will follow a waterfall model and be developed using ASP.NET and SQL.
This thesis focuses on assessing, evaluating, and managing risks in software development projects for Indian software companies. It aims to identify project risks, analyze dimensions of specific risks through primary research, and study an existing project to identify risks and mitigation strategies. The document discusses related work, project and software development lifecycles, types of risks, the research methodology used, a case study of a project called ERWINA, and concludes with recommendations for improving risk management practices.
The document outlines a 7-step risk management framework for software development projects: 1) Analyze functional requirements, 2) Establish project scope and work breakdown structure, 3) Identify risky work packages, 4) Identify risk events, 5) Analyze risk probability and severity, 6) Develop a risk management plan, 7) Control risk. The framework involves stakeholders in risk analysis and response planning. It integrates risk management into the project cycle to help achieve objectives related to time, cost, quality and stakeholder satisfaction. An effective risk management plan and approach is necessary for software project success.
Lecture 2 introduction to Software Engineering 1IIUI
This document discusses key concepts in software engineering including:
- Software engineering uses a layered technology approach with tools, methods, processes, and a quality focus.
- It introduces common process frameworks and activities like planning, modeling, construction, and deployment.
- It also discusses umbrella activities that span the entire software development process such as configuration management, quality assurance, and risk management.
- Finally, it debunks some common myths among managers, customers, and practitioners regarding software projects.
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.
This document discusses risk management in software projects. It covers identifying risks through checklists and questionnaires, estimating the probability and impact of risks, and developing contingency plans. Key aspects include identifying risks proactively, analyzing each risk's likelihood and consequences, prioritizing high probability/high impact risks, and monitoring risks and triggers to mitigate potential issues. The overall goal is to anticipate problems before they occur and control risks in order to reduce disruption and keep projects on track.
1Risk Reporting
Risk Reporting
Rique Giddens, Anne Saintilus, Katherine Entress, Maria McPhatter, Robert Martinez, Tonya Townsend, Twanna Perkins-Monroe
PM 584
Arnetra Arrington
5/02/16
Risk Reporting
Individual Research
In this paper, each member of Team A reports on a risk monitoring and a risk reporting practice and what lessons learned he or she can apply in their own projects. As a group, the team analyzes the theoretical application of these monitoring and reporting practices. They summarize the strengths and weaknesses of each practice. They conclude by selecting the top two risk monitoring and risk reporting practices.
Project One Risk Manager: Robert
Risk Register
For the Riordan Manufacturing relocation, a risk register would be the one of the best tools to use to help identify the risks that are going to be associated with the move. It is a great tool that can be used in the early stages of planning that will help identify the risks and let the PM know that there are risks that need to be managed. Developing the risk register will also help the project team and PM identifies who they need to communicate with when they are faced with risks. A risk register is a tool that will have all the risks that the team has come into, it will have the severity of the risks the methods to manage, and will update all parties involved about the risks of the project letting everyone involved know whether the risks have been dealt with.
Pros and Cons
One of the good things about using this tool is that you can gather all the risks and start to manage them at an earlier stage. A drawback of the register is that if it is not updated and use correctly it can slow down the team and PM. Project Two Risk Manager - Rique
Risk Register
The risk register and the RAP are both great practices and tools that will help any organization with their project. The Risk Register collects all of the risks and ranks them so that the high priority risks get the attention they need. The register is updated as the project goes on.
RAP
The RAP is a great tool to help the PM report updates to senior leaders and stakeholders. Both of these play a part in other areas like monitoring and controlling risks, and the RAPs helping communication stay in line. Risk monitoring and reporting are essential because it keeps everything in front of the team and doesn't allow risks to creep up. Without the monitoring risks could creep around and cause delays and cost overruns to the project.
Lessons Learned
There are always lessons that can be taken from past projects and keep track of changes and issues can help make sure they don't occur again.
Project Three Risk Manager – Twanna
Risk monitoring - Project Risk Response Audits
The auditors of the risks will take an examination and then document how effectiveness of the risk response. This will be with respect to avoiding, the transfer or the mitigation of the occurrence of the risk (Heldman, Baca, & Jansen, 2007). ...
This document provides an introduction to a course on software engineering. It discusses key topics that will be covered in the course including software process models, requirement engineering, software design, quality engineering, project management, and maintenance. It also outlines the course structure, learning outcomes, assessment criteria, and references. The course aims to introduce students to fundamental software engineering principles and practices.
Parameter Estimation of GOEL-OKUMOTO Model by Comparing ACO with MLE MethodIRJET Journal
The document presents a comparison of the Ant Colony Optimization (ACO) method and Maximum Likelihood Estimation (MLE) method for parameter estimation of the Goel-Okumoto software reliability growth model. It describes using the ACO and MLE methods to estimate unknown parameters of the Goel-Okumoto model based on ungrouped time domain failure data. The key parameters estimated are a, which represents the expected total number of failures, and b, which represents the failure detection rate. The document aims to determine which of these two parameter estimation methods can best identify failures at early stages of software reliability monitoring.
Risk Driven Approach to Test Device Softwareijtsrd
Software testing is one of the most crucial testings in the software development process. Software testing should be scheduled and managed very effectively. The risk is the situation that has not occurred yet and may not occur in the future as well. After looking at this definition, risks can refer to the probability of the failure for a particular project. Risk based testing is the type of testing that is based on the priority and importance of the software that has to be tested. In this research work, the new technique to test the device software has been proposed using the JAVA language. The new system is able to test the software based on various risks and provide alternatives based on that the risk can be reduced in the future. It also calculates the updated cost and duration required to complete the software when a risk has occurred. The proposed application is able to provide efficient and accurate results in terms of entered risks on the device software. In the future, the software can be used to test the device software for more number of risks to make it more suitable as per the user's requirements. Ashwani Kumar | Prince Sood "Risk Driven Approach to Test Device Software" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25230.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/25230/risk-driven-approach-to-test-device-software/ashwani-kumar
This document provides an overview of project management, planning, and risk analysis topics covered in Unit 02. It discusses the 4Ps of project management - People, Product, Process, and Project. It covers estimating techniques like decomposition and empirical models. It also discusses software metrics and using measurements to improve processes and projects. The document presents information on planning topics such as scope, estimation options, make-buy decisions, and tools like PERT charts and Gantt charts. It concludes with a brief introduction to risk analysis and management.
The document discusses using data mining techniques to analyze crime data and predict crime trends. It describes collecting crime reports from various sources to create a database. Machine learning algorithms would then be applied to the crime data to discover patterns and relationships between different crimes. This analysis could help police identify crime hotspots and determine if a crime was committed in a known location. The proposed system aims to forecast crimes and trends based on past crime data, date and location to help prevent crimes. It discusses implementing the system using Python and testing it with sample input data.
The document discusses risk management for software projects. It covers identifying risks through checklists and questionnaires, projecting risks by estimating probability and impact, and developing a risk mitigation, monitoring and management plan. The plan involves strategies to avoid known risks where possible and control unavoidable risks through contingency planning. Effective risk management requires taking a proactive approach to anticipate and manage risks.
The document discusses risk management and provides details on risk identification, projection (estimation), and mitigation. It defines risk and outlines two key characteristics - uncertainty and loss. Risks are categorized by project, technical, and business types. Steps for risk management include identifying possible risks, analyzing each risk's probability and impact, ranking risks, and developing contingency plans for high probability/impact risks.
Risk management is important for software projects to identify risks that could impact cost, schedule or quality and put mitigation plans in place. The key steps in risk management are risk identification, analysis, planning, monitoring. Risks can be project risks, product risks, technical risks or business risks. It's important to identify both known/predictable risks as well as unpredictable risks. The goal of risk management is to anticipate issues and have contingency plans to minimize negative impacts.
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.
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.
The document discusses risk analysis and management for software projects. It defines risks as potential problems that could affect project completion. The goal of risk analysis is to help teams understand and manage uncertainty. Key steps include identifying risks, estimating their probability and impact, prioritizing the most important risks, and developing a Risk Mitigation, Monitoring, and Management Plan to avoid, minimize, or prepare for the risks. The document provides examples of risk categories and checklists to help identify project, technical, and business risks.
Kumar Bishwakarma gave a presentation on the basics of risk management. He discussed (1) reactive and proactive risk handling strategies, with reactive focusing on problems after they occur and proactive identifying risks in advance. He also covered (2) software risks like project, technical, business, known, predictable and unpredictable risks. Finally, he explained the process of (3) risk identification, projection, assessment, refinement, and developing a risk management, mitigation, monitoring and management plan to address risks throughout a project.
The document discusses risk analysis and management for software projects. It defines risks as potential problems that could affect project completion. The goal of risk analysis is to help teams understand and manage uncertainty. Key aspects covered include identifying risks, assessing probability and impact, prioritizing risks, developing risk mitigation plans, and monitoring risks during the project. The document provides examples of risk categories, analysis steps, and strategies for proactive versus reactive risk management.
Defect effort prediction models in software maintenance projectsiaemedu
The document discusses models for predicting defects in software maintenance projects. It describes how data on defects found during testing is recorded and used by reliability models to predict remaining defects. The paper proposes exploring defect data through appropriate statistics and predictive models like decision trees and Naive Bayes classifiers. It outlines steps for analyzing defect data with statistics to gain insights, including using ratios of defects found before and after release to assess quality. Graphs are suggested to examine the impact of previous releases on current release quality.
The document outlines the plan for developing an online examination system, including objectives to securely connect educational institutions to the system and allow teachers to create exams, as well as limitations of only supporting multiple choice questions. A team of 6 people is organized with roles including project manager, software designer, programmers, and tester. The system will follow a waterfall model and be developed using ASP.NET and SQL.
This thesis focuses on assessing, evaluating, and managing risks in software development projects for Indian software companies. It aims to identify project risks, analyze dimensions of specific risks through primary research, and study an existing project to identify risks and mitigation strategies. The document discusses related work, project and software development lifecycles, types of risks, the research methodology used, a case study of a project called ERWINA, and concludes with recommendations for improving risk management practices.
The document outlines a 7-step risk management framework for software development projects: 1) Analyze functional requirements, 2) Establish project scope and work breakdown structure, 3) Identify risky work packages, 4) Identify risk events, 5) Analyze risk probability and severity, 6) Develop a risk management plan, 7) Control risk. The framework involves stakeholders in risk analysis and response planning. It integrates risk management into the project cycle to help achieve objectives related to time, cost, quality and stakeholder satisfaction. An effective risk management plan and approach is necessary for software project success.
Lecture 2 introduction to Software Engineering 1IIUI
This document discusses key concepts in software engineering including:
- Software engineering uses a layered technology approach with tools, methods, processes, and a quality focus.
- It introduces common process frameworks and activities like planning, modeling, construction, and deployment.
- It also discusses umbrella activities that span the entire software development process such as configuration management, quality assurance, and risk management.
- Finally, it debunks some common myths among managers, customers, and practitioners regarding software projects.
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.
This document discusses risk management in software projects. It covers identifying risks through checklists and questionnaires, estimating the probability and impact of risks, and developing contingency plans. Key aspects include identifying risks proactively, analyzing each risk's likelihood and consequences, prioritizing high probability/high impact risks, and monitoring risks and triggers to mitigate potential issues. The overall goal is to anticipate problems before they occur and control risks in order to reduce disruption and keep projects on track.
1Risk Reporting
Risk Reporting
Rique Giddens, Anne Saintilus, Katherine Entress, Maria McPhatter, Robert Martinez, Tonya Townsend, Twanna Perkins-Monroe
PM 584
Arnetra Arrington
5/02/16
Risk Reporting
Individual Research
In this paper, each member of Team A reports on a risk monitoring and a risk reporting practice and what lessons learned he or she can apply in their own projects. As a group, the team analyzes the theoretical application of these monitoring and reporting practices. They summarize the strengths and weaknesses of each practice. They conclude by selecting the top two risk monitoring and risk reporting practices.
Project One Risk Manager: Robert
Risk Register
For the Riordan Manufacturing relocation, a risk register would be the one of the best tools to use to help identify the risks that are going to be associated with the move. It is a great tool that can be used in the early stages of planning that will help identify the risks and let the PM know that there are risks that need to be managed. Developing the risk register will also help the project team and PM identifies who they need to communicate with when they are faced with risks. A risk register is a tool that will have all the risks that the team has come into, it will have the severity of the risks the methods to manage, and will update all parties involved about the risks of the project letting everyone involved know whether the risks have been dealt with.
Pros and Cons
One of the good things about using this tool is that you can gather all the risks and start to manage them at an earlier stage. A drawback of the register is that if it is not updated and use correctly it can slow down the team and PM. Project Two Risk Manager - Rique
Risk Register
The risk register and the RAP are both great practices and tools that will help any organization with their project. The Risk Register collects all of the risks and ranks them so that the high priority risks get the attention they need. The register is updated as the project goes on.
RAP
The RAP is a great tool to help the PM report updates to senior leaders and stakeholders. Both of these play a part in other areas like monitoring and controlling risks, and the RAPs helping communication stay in line. Risk monitoring and reporting are essential because it keeps everything in front of the team and doesn't allow risks to creep up. Without the monitoring risks could creep around and cause delays and cost overruns to the project.
Lessons Learned
There are always lessons that can be taken from past projects and keep track of changes and issues can help make sure they don't occur again.
Project Three Risk Manager – Twanna
Risk monitoring - Project Risk Response Audits
The auditors of the risks will take an examination and then document how effectiveness of the risk response. This will be with respect to avoiding, the transfer or the mitigation of the occurrence of the risk (Heldman, Baca, & Jansen, 2007). ...
This document provides an introduction to a course on software engineering. It discusses key topics that will be covered in the course including software process models, requirement engineering, software design, quality engineering, project management, and maintenance. It also outlines the course structure, learning outcomes, assessment criteria, and references. The course aims to introduce students to fundamental software engineering principles and practices.
Parameter Estimation of GOEL-OKUMOTO Model by Comparing ACO with MLE MethodIRJET Journal
The document presents a comparison of the Ant Colony Optimization (ACO) method and Maximum Likelihood Estimation (MLE) method for parameter estimation of the Goel-Okumoto software reliability growth model. It describes using the ACO and MLE methods to estimate unknown parameters of the Goel-Okumoto model based on ungrouped time domain failure data. The key parameters estimated are a, which represents the expected total number of failures, and b, which represents the failure detection rate. The document aims to determine which of these two parameter estimation methods can best identify failures at early stages of software reliability monitoring.
Risk Driven Approach to Test Device Softwareijtsrd
Software testing is one of the most crucial testings in the software development process. Software testing should be scheduled and managed very effectively. The risk is the situation that has not occurred yet and may not occur in the future as well. After looking at this definition, risks can refer to the probability of the failure for a particular project. Risk based testing is the type of testing that is based on the priority and importance of the software that has to be tested. In this research work, the new technique to test the device software has been proposed using the JAVA language. The new system is able to test the software based on various risks and provide alternatives based on that the risk can be reduced in the future. It also calculates the updated cost and duration required to complete the software when a risk has occurred. The proposed application is able to provide efficient and accurate results in terms of entered risks on the device software. In the future, the software can be used to test the device software for more number of risks to make it more suitable as per the user's requirements. Ashwani Kumar | Prince Sood "Risk Driven Approach to Test Device Software" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25230.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/25230/risk-driven-approach-to-test-device-software/ashwani-kumar
This document provides an overview of project management, planning, and risk analysis topics covered in Unit 02. It discusses the 4Ps of project management - People, Product, Process, and Project. It covers estimating techniques like decomposition and empirical models. It also discusses software metrics and using measurements to improve processes and projects. The document presents information on planning topics such as scope, estimation options, make-buy decisions, and tools like PERT charts and Gantt charts. It concludes with a brief introduction to risk analysis and management.
The document discusses using data mining techniques to analyze crime data and predict crime trends. It describes collecting crime reports from various sources to create a database. Machine learning algorithms would then be applied to the crime data to discover patterns and relationships between different crimes. This analysis could help police identify crime hotspots and determine if a crime was committed in a known location. The proposed system aims to forecast crimes and trends based on past crime data, date and location to help prevent crimes. It discusses implementing the system using Python and testing it with sample input data.
The document discusses risk management for software projects. It covers identifying risks through checklists and questionnaires, projecting risks by estimating probability and impact, and developing a risk mitigation, monitoring and management plan. The plan involves strategies to avoid known risks where possible and control unavoidable risks through contingency planning. Effective risk management requires taking a proactive approach to anticipate and manage risks.
The document discusses risk management and provides details on risk identification, projection (estimation), and mitigation. It defines risk and outlines two key characteristics - uncertainty and loss. Risks are categorized by project, technical, and business types. Steps for risk management include identifying possible risks, analyzing each risk's probability and impact, ranking risks, and developing contingency plans for high probability/impact risks.
Risk management is important for software projects to identify risks that could impact cost, schedule or quality and put mitigation plans in place. The key steps in risk management are risk identification, analysis, planning, monitoring. Risks can be project risks, product risks, technical risks or business risks. It's important to identify both known/predictable risks as well as unpredictable risks. The goal of risk management is to anticipate issues and have contingency plans to minimize negative impacts.
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.
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.
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.
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.
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
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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How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
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Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
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.)
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
Software Risk Management.pptx
1. Risk Analysis & Management
Priyajit Sen
Assistant Professor
Department of Computer Application
MAKAUT, W.B., India
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
2. What is risk?
A risk is a potential problem that might happen and might not. It can be
conceptually defined as concerns of future happenings that involve
change in mind, option, actions, places, etc.
Basic Characteristics of Risk:
Uncertainty:- It may or may not happen, that is there is no 100%
guarantee of risk becoming true.
Loss:- If the risk becomes true then unwanted consequences or
losses may occur.
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
3. What is risk management?
Risk Management is a process of thinking systematically about all
possible risks, problems or disasters before they happen and setting up
procedures that will avoid the risk, or minimize the impact, or cope
with its impact.
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
4. Types of Risk:
Reactive:- A response based risk management approach, which is
dependent on accident evaluation and audit based findings.
Proactive:- Adaptive, closed loop feedback control strategy based on
measurement, observation of the present safety level and planned
explicit target safety level with a creative intellectuality.
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
5. Purpose of Proactive and Reactive Risk Management:
Reactive risk management: Reactive risk management attempts to
reduce the tendency of the same or similar accidents which happened in
past being repeated in future.
Proactive risk management: Proactive risk management attempts to
reduce the tendency of any accident happening in future by identifying
the boundaries of activities, where a breach of the boundary can lead to
an accident.
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
6. Difference between Proactive and Reactive Risk Management
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
7. Categories of risk
Project risk:- Risk that affect the project schedule or recourse. An example
of a project risk is the loss of an experienced designer. Finding a replacement,
may take a long time and consequently, the software design will take longer to
complete.
Product Risk:- Risk that affect the quality or performance of the software
being developed. An example of a product risk is the failure of a purchased
component to perform as expected.
Business Risk:- Risk that affect the organization developing or procuring the
product. For example, a competitor introducing a new product. The
introduction of a competitive product may mean that the assumption made
about the sales of existing software products may be unduly optimistic.
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
8. Process of Risk management
Risk Identification: Identity possible project, product and business risks.
Risk Projection: Assessment of the likelihood and consequences of these
risks.
Risk Mitigation: Plan to address the risk, either by avoiding it or minimize
effects on the project.
Risk Monitoring: Regularly assess the risk and the plan
revise these when we learn more about the risk.
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
9. Process of Risk management
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
10. Risk Identification
Basically, there are six types of risks.
Organizational Risks: Drive from the organizational environment where the
software is being developed.
Tools Risks: Drive from the software tools and other supporting software
used to develop the system.
Requirement Risks: Drive from changes to the customer requirements and
the process of managing the requirements change.
Estimation Risks: Drive from the management estimates of the resources
required to build the system.
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
11. Risk Projection
The likelihood of a risk coming true(r).
The consequence of the problems associated with that risk(s).
Based on these two factors, the priority of each risk can be computed
as:
p = r * s
Where p is the priority with which the risk must be handled, r is the probability of
the risk becoming true
and s is the severity of damage caused due to the risk becoming true.
If all identified risks are prioritized then most likely and damaging risks can be
handled first and more comprehensive risk abatement procedures can be designed
for these risks.
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
12. Risk Refinement:
This general condition can be refined in the following manner:
Sub-condition 1: Certain reusable components were developed by a
third party with no knowledge of internal design standards.
Sub-condition 2: The design standard for component interfaces has not
been solidified and may not conform to certain existing reusable
components.
Sub-condition 3: Certain reusable components have been implemented
in a language that is not supported on the target environment.
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
13. Risk Mitigation
Avoid Risk: The probability that the risk will arise will be reduce. It may
take several forms such as discussions with the customer to reduce the
scope of the work, giving incentives to engineers to avoid risk of man
power turn over, etc.
Transfer Risk: This strategy involves getting the risky component
developed by third party or buying insurance career, etc.
Risk Reduction: This involves planning ways to contain the damage due
to a risk. For example, if there is risk that some key personnel might
leave, new recruitment may be planned.
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
14. Risk Monitoring & Management
Risk monitoring and management is the process of checking that our
assumptions about the project, product and business risks have not
changed.
We should regularly assess each of the identified risk to decide whether
or not that risk is becoming more or less probable.
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
16. Safety Critical Software
Primary safety-critical software: Malfunctioning of this kind
of software could cause direct human or environment damage.
Secondary safety-critical software: Malfunctioning of this
software could cause indirect human or environment damage.
For example if a drug dispensing machine gave out the wrong
drugs to someone, the system itself would not cause damage, but
it would be the reason that damage was caused.
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
18. Industry Analysis Techniques:
A number of hazard analysis techniques have been developed in order to fully
understand and
resolve these hazards.
An example of this is the STAMP technique which was developed at MIT, and
is not only for hazard analysis, but also considers organizational factors and
the dynamics of complex systems.
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
19. STAMP has five steps:
1. Identify the system hazards: identify all of the potential hazards in a system and
expand on them to find rough solutions
2. Identify safety related requirements and constraints: In order to remove the
hazard what are the constraints
3. Define the basic system control structure: Define who is in control at the time
of the potential hazard
4. Identify inadequate control actions that could lead to a hazard: Find out how the
system reaches the hazardous state using the control structure.
5. Determine what constraints could be violated and eliminate, prevent or control
them through the system design
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
20. Project Scheduling and Techniques:
Break down each activity into tasks.
Determine the dependency among different tasks.
Establish the estimates for the time durations necessary to complete the tasks.
Represent the information in the form of an activity network.
Determine task starting and ending dates from the information represented in
the activity network.
Determine the critical path. A critical path is a chain of tasks that determines
the duration of the project.
Allocate resources to tasks.
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
31. Project Parameters for Different Task:
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
32. (ES, EF)
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Specification
(0,15)
Design Database
(15,60)
Design GUI
(15,45)
Write User
Manual
(15,75)
Code Database
(60,165)
Code GUI
(45,90)
Integrate and
Test
(165,285)
Finish
(285,285)
** Highest Earliest Finish to its Next Earliest Start
33. (LS, LF)
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Specification
(0,15)
Design Database
(15,60)
Design GUI
(90,120)
Write User
Manual
(225,285)
Code Database
(60,165)
Code GUI
(120,165)
Integrate and
Test
(165,285)
Finish
(285,285)
** Lowest Latest Start to its Previous Latest Finish
35. Showing the Critical Path:
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Specification
(0,15)
Design Database
(15,60)
Design GUI
(90,120)
Write User
Manual
(225,285)
Code Database
(60,165)
Code GUI
(120,165)
Integrate and
Test
(165,285)
Finish
(285,285)
** The blue line shows the Critical Path. Note that the slack time is zero for these
phases.
36. Gantt chart:
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
• Gantt Chart first developed by Henry Gantt in 1917.
• Gantt chart usually utilized in project management, and it is one of the most
popular and helpful ways of showing activities displayed against time.
• Each activity represented by a bar. Gantt chart is a useful tool when you
want to see the entire landscape of either one or multiple projects.
• It helps you to view which tasks are dependent on one another and which
event is coming up.
38. PERT Chart:
Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
PERT is an acronym of Programme Evaluation Review Technique.
In the 1950s, it is developed by the U.S. Navy to handle the Polaris submarine missile
programme.
In Project Management, PERT chart represented as a network diagram concerning the number
of nodes, which represents events.
The direction of the lines indicates the sequence of the task. In the above example, tasks
between "Task 1 to Task 9" must complete, and these are known as a dependent or serial task.
Between Task 4 and 5, and Task 4 and 6, nodes are not depended and can undertake
simultaneously. These are known as Parallel or concurrent tasks. Without resource or
completion time, the task must complete in the sequence which is considered as event
dependency, and these are known as Dummy activity and represented by dotted lines.
40. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
PERT vs Gantt Chart:
PERT charts are network diagrams that use boxes to represent tasks and
arrows to present dependencies between tasks. The boxes are laid out from
left to right, but there is no fixed Y-axis with dates. The first box, or root, is
centered vertically on the left side, and the subsequent tasks can be drawn
anywhere along the Y-axis. Arrows can point to the right, up or down, but
never to the left.
Gantt charts are bar graphs. The X-axis contains dates and the Y-axis lists
separate tasks. On each line of the Y-axis, the chart depicts a bar positioned to
extend from the task’s start date to its end date. Tasks are listed in the start-
date order.
41. Priyajit Sen, Department of Computer Applications, MAKAUT,
W.B., India
Gantt chart PERT chart
Gantt chart is defined as the bar chart. PERT chart looks similar to a network diagram
Gantt chart was developed by Henry L. Gantt.
PERT chart was developed by the United States
navy.
Gantt chart is often used for Small Projects
PERT chart can be used for large and complex
Projects
Gantt chart focuses on the time required to
complete a task
PERT chart focuses on the dependency of
relationships.
Gantt chart is simpler and more straightforward
PERT chart could be sometimes confusing and
complex but can be used for visualizing critical
path
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