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Improving the Reliability of Function Point Measurement: An Empirical Study: October 1991 (Classic Reprint) - Softcover
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Excerpt from Improving the Reliability of Function Point Measurement: An Empirical Study: October 1991
Zit is interesting to note that all of these questions deal with how to measure the five function count types, and none with the fourteen 'complexity factors'. This reflects the fact that any reliability concerns relating to the fourteen complexity factors are small, given that their potential impact on the final FP count is constrained by the mathematical formula [albrecht and Gaffney, 1983] [bock and Klepper, This is in contrast to the five function types, where the impact of a different interpretation is unconstrained, and can be potentially very large. Empirical research has also documented the result that the impact of the fourteen complexity factors is small [kemerer, requirements, a quantitative case study methodology was chosen. As described by Swanson and Beath, this approach features the collection of multiple types of data.
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This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Excerpt from Improving the Reliability of Function Point Measurement: An Empirical Study: October 1991
Zit is interesting to note that all of these questions deal with how to measure the five function count types, and none with the fourteen 'complexity factors'. This reflects the fact that any reliability concerns relating to the fourteen complexity factors are small, given that their potential impact on the final FP count is constrained by the mathematical formula [albrecht and Gaffney, 1983] [bock and Klepper, This is in contrast to the five function types, where the impact of a different interpretation is unconstrained, and can be potentially very large. Empirical research has also documented the result that the impact of the fourteen complexity factors is small [kemerer, requirements, a quantitative case study methodology was chosen. As described by Swanson and Beath, this approach features the collection of multiple types of data.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Excerpt from Improving the Reliability of Function Point Measurement: An Empirical Study: October 1991
Information Systems development has operated for virtually its entire history without the quantitative measurement capability of other business functional areas such as marketing or manufacturing. Today, managers of Information Systems organizations are increasingly taken to task to measure and report, in quantitative terms, the effectiveness and efficiency of their internal operations. In addition, measurement of information systems development products is also an issue of increasing importance due to the growing costs associated with information systems development and maintenance.
One measure of the size and complexity of information systems that is growing in acceptance and adoption is Function Points, a user-oriented non-source line of code metric of the product of systems development. Recent previous research has documented the degree of reliability of Function Points as a metric. This research extends that work by (a) identifying the major sources of variation through a survey of current practice, and (b) estimating the magnitude of the effect of these sources of variation using detailed case study data from actual commercial systems.
The results of the research show that a relatively small number of factors have the greatest potential for affecting reliability, and recommendations are made for using these results to improve the reliability of Function Point counting in organizations.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Improving the Reliability of Function Point Measurement : An Empirical Study: October 1991 (Classic Reprint)
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Improving the Reliability of Function Point Measurement An Empirical Study October 1991 Classic Reprint
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Improving the Reliability of Function Point Measurement An Empirical Study October 1991 Classic Reprint
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Improving the Reliability of Function Point Measurement: An Empirical Study
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Paperback. Zustand: New. Print on Demand. This book delves into the concept of function points (FPs), a user-centric, non-code-based metric for quantifying the size and complexity of information systems. It explores the challenges of FP measurement reliability, identifying the primary sources of variation in counting practices. The author examines the evolution of FPs, highlighting their growing acceptance and adoption in the industry. By analyzing detailed case studies, the book quantifies the impact of different counting interpretations on the overall FP count, shedding light on the potential pitfalls and areas for improvement. The research presented in this book provides valuable insights for organizations seeking to enhance the reliability of their FP-based measurements. It emphasizes the need for clear and consistent counting standards, open communication, and ongoing research to address emerging issues. Ultimately, this book underscores the significance of accurate and reliable FP measurement in enabling effective planning, control, and evaluation of software development projects, contributing to improved productivity and quality in the field of information systems. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Bestandsnummer des Verkäufers 9781332265138_0
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