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Provides everything needed to implement Mk II FPA, which was previously available only under license. Mk II FPA represents a new generation of Function Point Analysis. It provides a set of software measurement techniques suitable for sizing and estimating business applications software. This is a fully integrated and calibratable method for estimating effort, time and manpower required for software development projects, taking into account the concepts of risk analysis. Written by the originator of the method, provides the complete definition, case studies and practical tips on implementation.
Function Point Analysis: Measurement Practices for Successful Software Projects is a comprehensive presentation of the principles of function point analysis (FPA) and a guide to its effective use in managing the development and deployment of software. Written for both information technology (IT) practitioners and managers, it describes how to use this proven-but-underutilized software-sizing metric to achieve successful software projects. Completely up-to-date, the book introduces the latest rules and guidelines released in the International Function Point Users Group (IFPUG) Counting Practices Manual 4.1. Function Point Analysis presents fundamental counting techniques for basic-to-advanced technologies. It explains the calculations for determining function point size, an indication of a software application's overall functionality and complexity. Moving beyond mechanics, the book features the most common uses of FPA and reveals experience-based techniques for applying the methodology with success. The book covers such important topics as: An overview of FPA for the IT executive A description of software measurement, relating size to other software metrics Sizing data and transactional functions The application of general system characteristics Counting object-oriented, Web-based, client-server, and GUI applications Becoming a Certified Function Point Specialist (CFPS), using a practice exam The use of FPA for accurate project estimating, development and maintenance outsourcing, and performance productivity baselining FPA automation tools, including function point repository tools and function point- based project estimation tools The role of FPA in standardizing industry benchmarking data Numerous detailed examples and case studies demonstrate the FPA methodology in action. As a reference, tutorial, and practical guide, Function Point Analysis: Measurement Practices for Successful Software Projects raises the level of awareness and understanding of FPA and its role in bringing proven quality standards to the software development industry. 0201699443B04062001
The book presents a comprehensive discussion on software quality issues and software quality assurance (SQA) principles and practices, and lays special emphasis on implementing and managing SQA. Primarily designed to serve three audiences; universities and college students, vocational training participants, and software engineers and software development managers, the book may be applicable to all personnel engaged in a software projects Features: A broad view of SQA. The book delves into SQA issues, going beyond the classic boundaries of custom-made software development to also cover in-house software development, subcontractors, and readymade software. An up-to-date wide-range coverage of SQA and SQA related topics. Providing comprehensive coverage on multifarious SQA subjects, including topics, hardly explored till in SQA texts. A systematic presentation of the SQA function and its tasks: establishing the SQA processes, planning, coordinating, follow-up, review and evaluation of SQA processes. Focus on SQA implementation issues. Specialized chapter sections, examples, implementation tips, and topics for discussion. Pedagogical support: Each chapter includes a real-life mini case study, examples, a summary, selected bibliography, review questions and topics for discussion. The book is also supported by an Instructor’s Guide.
Based on a 15-year successful approach to teaching aircraft flight mechanics at the US Air Force Academy, this text explains the concepts and derivations of equations for aircraft flight mechanics. It covers aircraft performance, static stability, aircraft dynamics stability and feedback control.
Object-Oriented Analysis and Design for Information Systems clearly explains real object-oriented programming in practice. Expert author Raul Sidnei Wazlawick explains concepts such as object responsibility, visibility and the real need for delegation in detail. The object-oriented code generated by using these concepts in a systematic way is concise, organized and reusable. The patterns and solutions presented in this book are based in research and industrial applications. You will come away with clarity regarding processes and use cases and a clear understand of how to expand a use case. Wazlawick clearly explains clearly how to build meaningful sequence diagrams. Object-Oriented Analysis and Design for Information Systems illustrates how and why building a class model is not just placing classes into a diagram. You will learn the necessary organizational patterns so that your software architecture will be maintainable. - Learn how to build better class models, which are more maintainable and understandable. - Write use cases in a more efficient and standardized way, using more effective and less complex diagrams. - Build true object-oriented code with division of responsibility and delegation.
This book gathers chapters from some of the top international empirical software engineering researchers focusing on the practical knowledge necessary for conducting, reporting and using empirical methods in software engineering. Topics and features include guidance on how to design, conduct and report empirical studies. The volume also provides information across a range of techniques, methods and qualitative and quantitative issues to help build a toolkit applicable to the diverse software development contexts
Get the most out of this foundational reference and improve the productivity of your software teams. This open access book collects the wisdom of the 2017 "Dagstuhl" seminar on productivity in software engineering, a meeting of community leaders, who came together with the goal of rethinking traditional definitions and measures of productivity. The results of their work, Rethinking Productivity in Software Engineering, includes chapters covering definitions and core concepts related to productivity, guidelines for measuring productivity in specific contexts, best practices and pitfalls, and theories and open questions on productivity. You'll benefit from the many short chapters, each offering a focused discussion on one aspect of productivity in software engineering. Readers in many fields and industries will benefit from their collected work. Developers wanting to improve their personal productivity, will learn effective strategies for overcoming common issues that interfere with progress. Organizations thinking about building internal programs for measuring productivity of programmers and teams will learn best practices from industry and researchers in measuring productivity. And researchers can leverage the conceptual frameworks and rich body of literature in the book to effectively pursue new research directions. What You'll LearnReview the definitions and dimensions of software productivity See how time management is having the opposite of the intended effect Develop valuable dashboards Understand the impact of sensors on productivity Avoid software development waste Work with human-centered methods to measure productivity Look at the intersection of neuroscience and productivity Manage interruptions and context-switching Who Book Is For Industry developers and those responsible for seminar-style courses that include a segment on software developer productivity. Chapters are written for a generalist audience, without excessive use of technical terminology.
The fourth edition of this text addresses the issue of organizational culture in more detail and gives an analysis of why information system projects fail and what can be done to make success more likely.