How to Measure Anything: Finding the Value of "Intangibles" in Business by Douglas W. Hubbard |
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Software metrics is a new area of computer science designed to enable programmers and other practitioners to assign quantitative indexes of merit to software. In this volume, "software" is defined broadly as a generic for all the stages of tailoring a computer system to solve a problem. Software Metrics is the first book to survey this new area, measuring its present extent, describing its characteristic features, and indicating directions of potential expansion.
The aim of the articles included in the book is to provide precise, quantified answers to such questions as: What are the memory requirements of the software? The speed requirements? What is the cost of production? The likely time schedule of production? When will it have to be replaced? What manpower loading should be used? how close to its limits is the system expected to run? What levels of satisfactory testing are sufficient? How well does the testing environment approximate the execution environment? What is the enhancement cost? To what extent has the problem—of the technology—moved beyond the program? Would it cost less to rebuild the system than to maintain and enhance it?
"In software, evolutionary complexity is probably more important than the classical time and space measures with which computer science has been concerned so far," the editors note in their introductory overview. This overview gauges the range of the book's fifteen contributions by the major developers of software metrics.
The aim of the articles included in the book is to provide precise, quantified answers to such questions as: What are the memory requirements of the software? The speed requirements? What is the cost of production? The likely time schedule of production? When will it have to be replaced? What manpower loading should be used? how close to its limits is the system expected to run? What levels of satisfactory testing are sufficient? How well does the testing environment approximate the execution environment? What is the enhancement cost? To what extent has the problem—of the technology—moved beyond the program? Would it cost less to rebuild the system than to maintain and enhance it?
"In software, evolutionary complexity is probably more important than the classical time and space measures with which computer science has been concerned so far," the editors note in their introductory overview. This overview gauges the range of the book's fifteen contributions by the major developers of software metrics.
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Front Cover | Front Flap | Table of Contents | First Pages | Index | Back Flap | Back Cover | Surprise Me!
Inside This Book
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First Sentence:
Most quantitative techniques for describing and evaluating software systems have been developed on a largely ad hoc basis. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
quantitative software models, average live variables, software maintenance tools, analysis center for software, software experiments, software metrics, programming reliability, software physics, control flow complexity, software forecasting, program development time, software engineering laboratory, software reliability models, invariant principles, static usage, improving software development, programmer performance, language metrics, queueing network models, programming factors, single subject experiments, prototypical approach, software characteristics, standard test problems, rayleigh curve Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Fred Sayward, Technical Report, Alan Perlis, International Journal of Man-Machine Studies, Bill Curtis, Computing Surveys, University of Maryland, Academic Press, American Statistical Association, Proceedings of the Workshop, References Ill, Elements of Software Science, Rome Air Development Center, Sid Amster, Systems Journal, Carnegie-Mellon University, Elsevier North-Holland, Baseline Intervention Withdrawal Intervention Figure, Laszlo Belady, Prentice Hall, Proceedings of the Statistical Computing Section, The Art of Computer Programming, Watson Research Center New!
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Front Cover | Front Flap | Table of Contents | First Pages | Index | Back Flap | Back Cover | Surprise Me!
Most quantitative techniques for describing and evaluating software systems have been developed on a largely ad hoc basis. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
quantitative software models, average live variables, software maintenance tools, analysis center for software, software experiments, software metrics, programming reliability, software physics, control flow complexity, software forecasting, program development time, software engineering laboratory, software reliability models, invariant principles, static usage, improving software development, programmer performance, language metrics, queueing network models, programming factors, single subject experiments, prototypical approach, software characteristics, standard test problems, rayleigh curve Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Fred Sayward, Technical Report, Alan Perlis, International Journal of Man-Machine Studies, Bill Curtis, Computing Surveys, University of Maryland, Academic Press, American Statistical Association, Proceedings of the Workshop, References Ill, Elements of Software Science, Rome Air Development Center, Sid Amster, Systems Journal, Carnegie-Mellon University, Elsevier North-Holland, Baseline Intervention Withdrawal Intervention Figure, Laszlo Belady, Prentice Hall, Proceedings of the Statistical Computing Section, The Art of Computer Programming, Watson Research Center New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Front Flap | Table of Contents | First Pages | Index | Back Flap | Back Cover | Surprise Me!
Citations (learn more)
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24
books
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- Proceedings of the 18th International Conference on Software Engineering: March 25-29, 1996 Berlin, Germany (International Conference on Software Engineering//Proceedings ... Conference on Software Engineering) by IEEE on 7 pages
- Elements of Software Science (Operating and programming systems series) by Maurice H. Halstead on 7 pages
- Computer Science by Andrew Meyenn on page 106, page 141, and Back Matter
- An Introduction to Probability Theory and Its Applications, Vol. 1 (Volume 1) by William Feller on page 89, page 197, and Back Matter
- Software Engineering by Gregory W. Jones on page 140, and page 221
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- Strategic Software Engineering: An Interdisciplinary Approach by Fadi P. Deek on page 265
- Software Engineering for Manufacturing Systems: Methods and CASE-tools (IFIP Advances in Information and Communication Technology) by A. Storr on page 164
- Component-Based Software Development for Embedded Systems: An Overview of Current Research Trends (Lecture Notes in Computer Science / Programming and Software Engineering) by Colin Atkinson in Back Matter
- Software Factories: Assembling Applications with Patterns, Models, Frameworks, and Tools by Jack Greenfield in Back Matter
- Advanced Information Systems Engineering: 16th International Conference, CAiSE 2004, Riga, Latvia, June 7-11, 2004, Proceedings (Lecture Notes in Computer Science) by Anne Persson on page 366
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