Rosemary Rock-Evans – författare

Analysis within the Systems Development Life-Cycle: Book 4, Activity Analysis—The Methods describes the techniques and concepts for carrying out activity analysis within the systems development life-cycle. Reference is made to the deliverables of data analysis and more than one method of analysis, each a viable alternative to the other, are discussed. The ""bottom-up"" and ""top-down"" methods are highlighted. Comprised of seven chapters, this book illustrates how dependent data and activities are on each other. This point is especially brought home when the task of inventing new business activities is discussed, and the data model is changed with completely new entity types—the invention of the user and analyst being added—and ""old"" entity types being removed when the activities of the business are changed. The relevance of PROLOG, LISP, knowledge bases, and expert systems is considered, and these areas of interest are brought together into the fold of ""conventional"" systems development. Finally, this text shows how the ""rules"" of the knowledge base and the ""deduction"" clauses are directly related to the activity concepts. This monograph will be a valuable resource for systems analysts and designers and those who are involved in expert systems.

Analysis within the Systems Development Life-Cycle: Book 1, Data Analysis—The Deliverables provides a comprehensive treatment of data analysis within the systems development life-cycle and all the deliverables that need to be collected in analysis. The purpose of deliverables is explained and a number of alternative ways of collecting them are discussed. This book is comprised of five chapters and begins with an overview of what ""analysis"" actually means, with particular reference to tasks such as hardware planning and software evaluation and where they fit into the overall cycle. The next chapter introduces the main concepts that will be used throughout the rest of the book, along with the main diagrammatic techniques that will be used to represent the deliverables. The discussion then turns to important categories of concept; what facts to collect about entity types; what facts to collect about attribute types; and the deliverables of the data design part of the systems development cycle. The final chapter summarizes all the deliverables and puts them into the context of the systems development cycle by describing the ""systems engine""—the ""meta-model"" of the systems development life-cycle. This monograph will be of interest to systems analysts and designers.

Analysis within the Systems Development Life-Cycle: Book 2, Data Analysis—The Methods describes the methods for carrying out data analysis within the systems development life-cycle and demonstrates how the results of fact gathering can be used to produce and verify the analysis deliverables. A number of alternative methods of analysis other than normalization are suggested. Comprised of seven chapters, this book shows the tasks to be carried out in the logical order of progression—preparation, collection, analysis of the existing system (which comprises the tasks of synthesis, verification, and approval)—and in each case how the input from the previous task is converted to the output for the next task until the final output—the verified approved deliverables—is obtained. The first chapter puts analysis into its place in the Systems Development Cycle (SDC) and explains what analysis really means. The next chapters cover, in logical sequence of dependency, the actual tasks of data analysis. The advantages and disadvantages of each method are described in the context of the life-cycle as a whole and in terms of the reliability of raw input, time problems, and so on. Each of the data models obtained using the different methods can be combined and subsequently refined using a number of step-by-step checks. The final chapter shows how the meta-model can be expanded by considering the intermediate outputs of the tasks of data analysis. This text will be of interest to systems analysts and designers and those who are involved in expert systems.

Analysis within the Systems Development Life-Cycle, Book 3: Activity Analysis — The Deliverables provides a comprehensive coverage of the deliverables of activity analysis. The book also details purpose of each deliverable in the context of the next tasks in the systems development cycle (SDC). The text first covers the concept of deliverables and the benefits of making deliverables visible. In the second chapter, the book introduces the main concepts and diagrammatic techniques of activity analysis. The third chapter deals with the important classes or categories of concept, while the fourth chapter talks about the deliverables of activity analysis. The book will be of great use to individuals involved in the design and management of complex development projects, such as systems engineers.

Computer Weekly Professional Series: Data modeling and Process modeling: Using the Most Popular Methods focuses on the processes, methodologies, and approaches employed in data modeling and process modeling. The book first offers information on data modeling, how to do data modeling, and process modeling. Discussions focus on diagrammatic representation, main concepts of process modeling, merging the models, refining the data model, diagrammatic techniques, fundamental rules of data modeling, and other deliverables of data modeling. The text then examines how to do process modeling and improving a system using analysis deliverables. Topics include problems, causes and effects, events, obligations and objectives, verification methods, and refining the results. The manuscript reviews elementary activities, including structured text and access paths, updating the data model from the access paths and structured English, and other useful detailed deliverables of an elementary activity. The publication is a valuable source of data for researchers interested in data modeling and process modeling.

A Simple Introduction to Data and Activity Analysis provides an introduction to the main concepts embodied in the analysis techniques. This book provides a more balanced picture of the methods of the analysis by showing what deliverables are collected as well as how to obtain them. Organized into eight chapters, this book begins with an overview of some of the activities that need to be done to analyze the business and some of the end and intermediate deliverables produced by these activities. This text then explains how to get the activity analysis deliverables. Other chapters consider the causes and effects of problems in business. This book discusses as well how activities can be decomposed or broken down into more and more detailed activities, using the techniques of activity decomposition and data flow diagramming. The final chapter deals with the methods of analysis that show how different types of input could be converted into the data and activity models. This book is a valuable resource for computer programmers.