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Software Engineering Measurement
A01=Ph.D.
A01=Ph.D. Munson
advanced software metrics research
Author_Ph.D.
Author_Ph.D. Munson
Case Tool
Category=UMZ
Category=UY
code
Code Delta
Control Flow Graph
Data Structures Complexity
development
Dummy Variates
empirical software metrics
Engineered Software Systems
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
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execution
Execution Profile
Exhibit 13
experimental validation techniques
Fault Introduction
faults
Function Point Analysis
Initial Build
John C. Munson
Measurement Database
modules
Operational Profile
Original PCA
Press Statistic
process
process improvement strategies
profile
program
Program Module
quantitative analysis methods
Raw Metrics
scientific measurement standards
Software
Software Development Organizations
Software Development Process
Software Faults
Software Measurement
software reliability assessment
Software System
source
Source Code Control System
Source Code Module
system
Product details
- ISBN 9780367395377
- Weight: 453g
- Dimensions: 156 x 234mm
- Publication Date: 19 Sep 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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The product of many years of practical experience and research in the software measurement business, this technical reference helps you select what metrics to collect, how to convert measurement data to management information, and provides the statistics necessary to perform these conversions. The author explains how to manage software development measurement systems, how to build software measurement tools and standards, and how to construct controlled experiments using standardized measurement tools.
There are three fundamental questions that this book seeks to answer. First, exactly how do you get the measurement data? Second, how do you convert the data from the measurement process to information that you can use to manage the software development process? Third, how do you manage all of the data?
Millions of dollars are being spent trying to secure software systems. When suitable instrumentation is placed into the systems that we develop, their activity can be monitored in real time. Measurement based automatic detection mechanisms can be designed into systems. This will permit the detection of system misuse and detect incipient reliability problems.
By demonstrating how to develop simple experiments for the empirical validation of theoretical research and showing how to convert measurement data into meaningful and valuable information, this text fosters more precise use of software measurement in the computer science and software engineering literature. Software Engineering Measurement shows you how to convert your measurement data to valuable information that can be used immediately for software process improvement.
Munson, Ph.D.
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