Development and Calibration of Software Cost Estimation Models and Methods and Application of Risk Assessment Techniques PDF Download
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Author: Robin M. Rambo
Publisher:
ISBN:
Category :
Languages : en
Pages : 172
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Book Description
Author: Robin M. Rambo
Publisher:
ISBN:
Category :
Languages : en
Pages : 172
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Book Description
Author: Shari Lawrence Pfleeger
Publisher: Rand Corporation
ISBN: 9780833037138
Category : Computers
Languages : en
Pages : 132
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Book Description
Recommends an approach to improving the utility and accuracy of software cost estimates by exposing uncertainty (in understanding the project) and reducing the risks associated with developing the estimates. The approach focuses on characteristics of the estimation process (such as which methods and models are most appropriate for a given situation) and the nature of the data used (such as software size), describing symptoms and warning signs of risk in each factor, and risk-mitigation strategies.
Author: Adam Trendowicz
Publisher: Springer Science & Business Media
ISBN: 3642307647
Category : Computers
Languages : en
Pages : 337
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Book Description
Software effort estimation is a key element of software project planning and management. Yet, in industrial practice, the important role of effort estimation is often underestimated and/or misunderstood. In this book, Adam Trendowicz presents the CoBRA method (an abbreviation for Cost Estimation, Benchmarking, and Risk Assessment) for estimating the effort required to successfully complete a software development project, which uniquely combines human judgment and measurement data in order to systematically create a custom-specific effort estimation model. CoBRA goes far beyond simply predicting the development effort; it supports project decision-makers in negotiating the project scope, managing project risks, benchmarking productivity, and directing improvement activities. To illustrate the method’s practical use, the book reports several real-world cases where CoBRA was applied in various industrial contexts. These cases represent different estimation contexts in terms of software project environment, estimation objectives, and estimation constraints. This book is the result of a successful collaboration between the process management division of Fraunhofer IESE and many software companies in the field of software engineering technology transfer. It mainly addresses software practitioners who deal with planning and managing software development projects as part of their daily work, and is also of interest for students or courses specializing in software engineering or software project management.
Author: Adam Trendowicz
Publisher: Springer
ISBN: 3319036297
Category : Computers
Languages : en
Pages : 483
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Book Description
Software effort estimation is one of the oldest and most important problems in software project management, and thus today there are a large number of models, each with its own unique strengths and weaknesses in general, and even more importantly, in relation to the environment and context in which it is to be applied. Trendowicz and Jeffery present a comprehensive look at the principles of software effort estimation and support software practitioners in systematically selecting and applying the most suitable effort estimation approach. Their book not only presents what approach to take and how to apply and improve it, but also explains why certain approaches should be used in specific project situations. Moreover, it explains popular estimation methods, summarizes estimation best-practices, and provides guidelines for continuously improving estimation capability. Additionally, the book offers invaluable insights into project management in general, discussing issues including project trade-offs, risk assessment, and organizational learning. Overall, the authors deliver an essential reference work for software practitioners responsible for software effort estimation and planning in their daily work and who want to improve their estimation skills. At the same time, for lecturers and students the book can serve as the basis of a course in software processes, software estimation, or project management.
Author: Daniel D. Galorath
Publisher: CRC Press
ISBN: 1420013122
Category : Business & Economics
Languages : en
Pages : 576
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Book Description
To achieve consistent software project success under the pressures of today's software development environment, software organizations require achievable plans including viable estimates of schedule, resources, and risks. To estimate realistically, you must understand how to apply sound estimation processes, tools, and data. Software Sizing
Author: Daryl Allen Shadle
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
The benefit of software cost estimation is universally recognized as one of the cornerstones of effective software project management and control. Despite the advances of computer-based estimation tools, their accuracy remains largely inadequate, and their utility among software development practitioners is limited. Consequently, the optimal estimation of software cost remains an elusive goal of most project managers. Central to this issue is the nature of the data on completed software projects that are incorporated into the organization's database of historical project results. This information forms the basis for both future project estimation and ex-post-facto assessment of estimation models. Actual project results are typically the data of choice for both the calibration and evaluation processes, despite the fact that these raw values disregard project inefficiencies such as initial size underestimation. This thesis challenges the notion that historical project results represent the preferred and most reliable benchmarks for future estimation purposes. Computer- based simulation is used to test a proposed strategy which capitalizes on an organization's learning experiences by neutralizing the cost excess caused by the initial undersizing, and that derives a posterior set of normalized effort and schedule estimation benchmarks. Analysis of the results indicates that normalization of the data leads to significantly improved project productivity, more optimal cost estimates, and provides the organization with increased potential for future cost savings.
Author: Barry Leonard
Publisher: DIANE Publishing
ISBN: 143791702X
Category :
Languages : en
Pages : 438
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Book Description
To use public funds effectively, the gov¿t. must meet the demands of today's changing world by employing effective mgmt. practices and processes, including the measurement of gov¿t. program performance. Legislators, gov¿t. officials, and the public want to know whether gov¿t. programs are achieving their goals and what their costs are. To make those evaluations, reliable cost information is required and fed. standards have been issued for the cost accounting that is needed to prepare that information. This Cost Guide has been developed in order to establish a consistent methodology that is based on best practices and that can be used across the fed. gov¿t. for developing, managing, and evaluating capital program cost estimates. Illustrations.
Author: Murali Chemuturi
Publisher: J. Ross Publishing
ISBN: 1604270241
Category : Business & Economics
Languages : en
Pages : 321
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Book Description
Almost every software project begins with the utterances, “What will this cost?” and “When will this project be done?” Once those words are spoken, project stakeholders begin to wrestle with how to produce an estimate. Accurately estimating the cost or time to complete a software project is a serious problem for many software engineers, developers and project managers who struggle with costs running double original estimates, putting their careers at risk. It is reported that nearly 50% of all software projects are shelved and that one of the major causes is poor estimation practices. If developing software for internal use, poor estimates can represent a significant drain on corporate profits. Worldwide growth in the number of companies specializing in the development of software for use by other companies is staggering. India alone has nearly 20,000 such companies. Intense competition has led to an increased demand for fixed-bid pricing in client/vendor relationships, and has made effective cost estimation even more important and, in many cases, critical to a firm's survival. There are many methods of estimation. Each method has its strengths and weaknesses, proponents and opponents. Knowing how and which one to use on a given project is key to developing acceptable estimates for either internal or external projects.Software Estimation Best Practices, Tools, & Techniques covers all facets of software estimation. It provides a detailed explanation of the various methods for estimating software size, development effort, cost, and schedule, including a comprehensive explanation of Test Effort Estimation. Emphasizing that software estimation should be based on a well-defined process, it presents software estimation best practices and shows how to avoid common pitfalls. This guide offers direction on which methods are most appropriate for each of the different project types commonly executed in the software development space and criteria for selecting software estimation tools. This comprehensive desk reference explains software estimation from scratch to help the beginner and features advanced techniques for more experienced estimators. It details project scheduling, including resource leveling and the concept of productivity, as applicable to software estimators, demonstrating the many benefits of moving from the current macro-productivity approach to a micro-productivity approach in software estimation. Software Estimation Best Practices, Tools, & Techniques: A Complete Guide for Software Project Estimators caters to the needs of all software project stakeholders, from novice to expert. It provides the valuable guidance needed to estimate the cost and time required to complete software projects within a reasonable margin of error for effective software development.
Author: Daryl Allen Shadle
Publisher:
ISBN:
Category :
Languages : en
Pages : 129
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Book Description
The benefit of software cost estimation is universally recognized as one of the cornerstones of effective software project management and control. Despite the advances of computer-based estimation tools, their accuracy remains largely inadequate, and their utility among software development practitioners is limited. Consequently, the optimal estimation of software cost remains an elusive goal of most project managers. Central to this issue is the nature of the data on completed software projects that are incorporated into the organization's database of historical project results. This information forms the basis for both future project estimation and ex-post-facto assessment of estimation models. Actual project results are typically the data of choice for both the calibration and evaluation processes, despite the fact that these raw values disregard project inefficiencies such as initial size underestimation. This thesis challenges the notion that historical project results represent the preferred and most reliable benchmarks for future estimation purposes. Computer- based simulation is used to test a proposed strategy which capitalizes on an organization's learning experiences by neutralizing the cost excess caused by the initial undersizing, and that derives a posterior set of normalized effort and schedule estimation benchmarks. Analysis of the results indicates that normalization of the data leads to significantly improved project productivity, more optimal cost estimates, and provides the organization with increased potential for future cost savings.
Author: Ashish Kumar Luhach
Publisher: Springer Nature
ISBN: 9811646414
Category : Technology & Engineering
Languages : en
Pages : 389
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Book Description
This book gathers high-quality papers presented at the Second International Conference on Sustainable Technologies for Computational Intelligence (ICTSCI 2021) held at Graphic Era University, Dehradun, India, during May 22–23, 2021. It covers emerging topics in computational intelligence and effective strategies for its implementation in engineering applications.
