Software Measurement and Estimation: A Practical Approach
An effective, quantitative approach for estimating and managing software projects
How many people do I need? When will the quality be good enough for commercial sale? Can this really be done in two weeks? Rather than relying on instinct, the authors of Software Measurement and Estimation offer a new, tested approach that includes the quantitative tools, data, and knowledge needed to make sound estimations.
The text begins with the foundations of measurement, identifies the appropriate metrics, and then focuses on techniques and tools for estimating the effort needed to reach a given level of quality and performance for a software project. All the factors that impact estimations are thoroughly examined, giving you the tools needed to regularly adjust and improve your estimations to complete a project on time, within budget, and at an expected level of quality.
This text includes several features that have proven to be successful in making the material accessible and easy to master:
* Simple, straightforward style and logical presentation and organization enables you to build a solid foundation of theory and techniques to tackle complex estimations
* Examples, provided throughout the text, illustrate how to use theory to solve real-world problems
* Projects, included in each chapter, enable you to apply your newfound knowledge and skills
* Techniques for effective communication of quantitative data help you convey your findings and recommendations to peers and management
Software Measurement and Estimation: A Practical Approach allows practicing software engineers and managers to better estimate, manage, and effectively communicate the plans and progress of their software projects. With its classroom-tested features, this is an excellent textbook for advanced undergraduate-level and graduate students in computer science and software engineering.
An Instructor Support FTP site is available from the Wiley editorial department.
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2 What to Measure
3 Measurement Fundamentals
4 Measuring Size
5 Measuring Complexity
6 Estimating Effort
7 In Praise of Defects Defects and Defect Metrics
8 Software Reliability Measurement and Prediction
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algorithmic availability average beneﬁts calculate Capers Jones Cash Flow Statement Chapter chart COCOMO code integration Control Limit cost cyclomatic complexity defect density defect discovery defect removal defects found defects per KLOC deﬁned deﬁnition Delphi method difﬁcult distribution effort engineering rules error estimate example expected exponential distribution failure fanout faults ﬁeld ﬁnancial ﬁnd ﬁrst ﬁve ﬁx ﬂow Function Point Analysis function points gearing factors goal Heisenbugs impact improve interface lines of code look Measurement theory method methodology metrics program milestones module MTTF number of defects object outages outsourcing performance predict probability productivity Project Management proxy point reﬂect rejuvenation requirements response risk schedule shown in Figure simple software development Software Engineering software estimation Software Measurement Software Metrics software project software reliability speciﬁc staff months strncat supplier total number typically valid versus week
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