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"Based on a thorough study of measurement theory, category theory, and a strong mathematic foundation, Scott Whitmire presents his own formal model of objects - a ground-breaking development for object-oriented design measurement. Using this model, or any other formal model, you can create a custom metric for any design characteristic you can describe through careful observation. This indispensable book guides you through the development process for nine unique design characteristics, including a controversial new "quality of abstraction" characteristic, which combines Sufficiency, Completeness, and Cohesion to help you determine the extent to which components include all the features required of your design."--Page 4 of cover.
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Presents a novel metrics-based approach for detecting design problems in object-oriented software. Introduces an important suite of detection strategies for the identification of different well-known design flaws as well as some rarely mentioned ones.
Today's object-oriented programming languages offer unique advantages for devising and executing test routines for all types of instrumentation. This book introduces C++ concepts in a framework designed especially to suit the concerns of the test and measurement community.
Object-oriented (OO) metrics are an integral part of object technology -- at the research level and in commercial software development projects. This book offers theoretical and empirical tips and facts for creating an OO complexity metrics (measurement) program, based on a review of existing research from the last several years. KEY TOPICS: Covers moving through object-oriented concepts as they related to managing the project lifecycle; the framework in which metrics exist; structural complexity metrics for traditional systems; OO product metrics; and current industrial applications. MARKET: For software developers, programmers, and managers.
Project metrics; Design metrics.
"The software engineering community has advanced greatly in recent years and we currently have numerous defined items of knowledge, such as standards, methodologies, methods, metrics, techniques, languages, patterns, knowledge related to processes, concepts, etc.The main objective of this book is to give a unified and global vision about Micro-Architectural Design Knowledge, analyzing the main techniques, experiences and methods"--Provided by publisher.
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.
“As projects get more complicated, managers stop learning from their - perience. It is important to understand how that happens and how to change it.... Fallible estimates: In software development, initial estimates for a project shape the trajectory of decisions that a manager makes over its life. For ex- ple, estimates of the productivity of the team members influence decisions about the size of the team, which in turn affect the team’s actual output. The trouble is that initial estimates usually turn out to be wrong. ” (Sengupta, 2008) This book aims directly to increase the awareness among managers and practitioners that estimation is as important as the work to be done in so- ware and systems development. You can manage what you can measure! Readers will find in this book a collection of lessons learned from the worldwide “metrics community,” which we have documented and enhanced with our own experiences in the field of software measurement and estimating. Our goal is to support our readers to harvest the benefits of estimating and - prove their software development processes. We present the 5 ISO/I- acknowledged Functional Sizing Methods with variants, experiences, counting rules, and case studies – and most importantly, illustrate through practical - amples how to use functional size measurement to produce realistic estimates. The book is written in a practical manner, especially for the busy practitioner community. It is aimed to be used as a manual and an assistant for everyday work.
An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.