5 edition of Measuring the Software Process found in the catalog.
July 15, 1999
by Addison-Wesley Professional
Written in English
|The Physical Object|
|Number of Pages||250|
MEASURING THE SUCCESS OF SOFTWARE PROCESS IMPROVEMENT: THE DIMENSIONS. EUROSPI'00, COPENHAGEN, DENMARK. In recent years many excellent books on practical software process improvement (SPI) (e.g. [8, 10, 21]) have been written. Still change agents, quality managers, process owners and researchers are often troubled in defining the level of success. Find Measuring the Software Process: Statistical Process Control for Software Process Improvement by William Florac et al at over 30 bookstores. Buy, rent or sell.
Measure In-process Quality Page 1 of 6 Measuring and Managing In-process Software Quality Stephen H. Kan IBM Rochester, Minnesota USA [email protected] Abstract Using in-process metrics to determine the quality status of a software project under development is easier said than Size: 82KB. In addition to the afore-mentioned measures, lack of conformance to software requirements should be avoided as these form the basis of measuring software quality. Also, in order to achieve high quality both explicit and implicit requirements should be considered.
Software process and project metrics 1. Chapter 4 Software Process and Project Metrics 2. Software metrics refers to a broad range of measurements for computer software. Measurement can be applied to the software process with the intent of improving it on a continuous basis. Generally, software measurement is considered as a management tool which if conducted in an effective manner, helps the project manager and the entire software team to take decisions that lead to successful completion of the project. Measurement process is characterized by a .
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This book is an extension and elaboration of the Software Engineering Institute (SEI) guidebook Practical Software Measurement: Measuring for Process Management and Improvement Florac The guidebook grew out of a collaborative effort with the authors of Practical Software Measurement: A Foundation for Objective Project Management McGarry Cited by: It provides the foundation for the later book with a significant amount of overlap, but with some key differences as well.
The theme of both books is function point analysis as a software estimating technique. The focus of this book, however, is FP counting and analysis techniques with an emphasis on software engineering as a coherent process/5(2). Measuring the Software Process: Statistical Process Control for Software Process Improvement July • Book Anita Carleton, William A.
Florac. This book shows how to use measurement to manage and improve software processes within an organization in order to. The book particularly addresses the needs of software managers and practitioners who have already set up some kind of basic measurement process and are ready to take the next step by collecting and analyzing software data as a basis for making process decisions and predicting process performance.
Highlights of the book include: Insight into 3/5(4). Process issues are introduced for elaboration in the rest of the book. Measuring process behavior is also introduced.
Chapter 2, “Planning for Measurement,” discusses activities associated with measuring the software process. The what and why of measurement, as.
Measuring the software process: a practical guide to functional measurements. [David Garmus; David P Herron] For programmers and software development book shows how to successfully execute the function point counting methodology.
8 Principles of Successful Process Measurement Process Measures Are Driven by Business Goals Process Measures Are Derived from the Software Process Effective Measurement Requires Clearly Stated Operational Definitions Different People Have Differing Measurement Views and Needs The book particularly addresses the needs of software managers and practitioners who have already set up some kind of basic measurement process and are ready to take the next step by collecting and analyzing software data as a basis for making process decisions and /5(11).
Drawing on work done at the Software Engineering Institute and other organizations, this book shows how to use measurements to manage and improve software processes. It is for software managers and practitioners who have already set up some kind of basic measurement process and are ready to.
"Measuring the Software Process begins by presenting a general overview of software measurement and sets the context in which the function point methodology is presented.
The book then concentrates on the specific rules and guidelines set forth by the International Function Point Users Group (IFPUG).
The book particularly addresses the needs of software managers and practitioners who have already set up some kind of basic measurement process and are ready to take the next step by collecting and analyzing software data as a basis for making process decisions and predicting process performance.
Software measurement is a quantified attribute (see also: measurement) of a characteristic of a software product or the software process. It is a discipline within software process of software measurement is defined and governed by ISO Standard ISO (software measurement process).
4 Analyzing Process Behavior A phenomenon will be said to be controlled when, through the use of past experience, we can predict, at least within limits, how the phenomenon may - Selection from Measuring the Software Process: Statistical Process Control for Software Process Improvement [Book].
Software development process (SDP) is a complex and long endeavor, the quality and management of this process affect the quality of its results. Measuring the SDP is essential to gain insight on. Rate of software delivery is related to quality, because a new version of a software system will typically contain improvements that can impact the user.
A higher frequency of releases that are delivered to the user should, in theory, mean that the user gets better software faster. We are taking a week off from our current re-read (Daniel S. Vacanti’s Actionable Agile Metrics for Predictability). In the US the Christmas shopping holiday began in earnest on Friday, November 24th (Black Friday).To get into the swing of things I would like to suggest a few books I have recently reviewed or interviewed the authors on the Software Process and Measurement Cast.
Re-Read Saturday is a new feature on the Software Process and Measurement blog. We are starting this feature with a re-read of Leading Change. Leading change has been on my bookshelf for many years and I consider it an important tool The re-read will extend over a twelve Saturdays as I share my current interpretation of a book that has a major.
Software Metrics Product vs. process Most metrics are indirect: No way to measure property directly or Final product does not yet exist For predicting, need a model of relationship of predicted variable with other measurable variables.
Three assumptions (Kitchenham) 1. We can accurately measure some property of software or process. Size: KB. The Mythical Man-Month: Essays on Software Engineering is a book on software engineering and project management by Fred Brooks first published inwith subsequent editions in and Its central theme is that "adding manpower to a late software project makes it later".
This idea is known as Brooks' law, and is presented along with the second-system effect and advocacy of : Frederick Brooks. Description of the book "Measuring the Software Process: Statistical Process for Software Process Improvement": "While it is usually helpful to launch improvement programs, many such programs soon get bogged down in detail.
The book particularly addresses the needs of software managers and practitioners who have already set up some kind of basic measurement process and are ready to take the next step by collecting and analyzing software data as a basis for making process decisions and predicting process ghts of the book include: Insight into.Software measurement process must be a good oriented methodical process that measures, evaluates, adjusts, and finally improves the software development : Ming-Chang Lee.
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