Practical Software Estimation

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"A clearly written book that is a useful primer for a very complicated set of topics." --Capers Jones, Chief Scientist Emeritus, Software Productivity Research LLC Practical Software Estimation brings together today's most valuable tips, techniques, and best practices for accurately estimating software project efforts, costs, and schedules. Written by a leading expert in the field, it addresses the full spectrum of real-world challenges faced by those who must develop reliable estimates. M. A. Parthasarathy draws on the immense experience of Infosys, one of the world's largest and most respected providers of IT-enabled business solutions, to bring you the only book with detailed guidance on estimating insourced and outsourced software projects, as well as projects that blend both approaches. He demonstrates how to successfully utilize Function Point (FP) methods, the industry's leading estimation model. Then, using real case studies, he systematically identifies pitfalls that can lead to inaccurate estimates--and offers proven solutions. Coverage includes Practical Software Estimation is the definitive reference for anyone who must estimate software projects project and IT managers, individual developers, system designers, architects, executives, consultants, and outsourcers alike.List of FiguresList of TablesForewordPrefaceAcknowledgmentsChapter 1: IntroductionChapter 2: Role of Estimation in Software ProjectsChapter 3: A Study of Function Point AnalysisChapter 4: Data FunctionsChapter 5: Transactional FunctionsChapter 6: General System CharacteristicsChapter 7: Size, Effort, and Scheduling of ProjectsChapter 8: Estimation FlavorsChapter 9: A Sense of Where You AreChapter 10: Tips, Tricks, and TrapsChapter 11: Insourcing versus OutsourcingChapter 12: Key Factors in Software ContractsChapter 13: Project Estimation and CostingChapter 14: Other Estimation MethodsChapter 15: Estimation ToolsChapter 16: Estimation Case StudyAppendix Reference Transaction Function CountsAppendix Reference Data Function PointsBibliographyIndex