Quality Assurance for Information Systems: Methods Tools, and Techniques - Tapa dura

Quality Assurance for Information Systems Methods, Tools, and Techniques William E. Perry Here's the latest information on developing defect-free software. Completely revised and expanded, Quality Assurance for Information Systems: Methods, Tools, and Techniques shows you how to staff, organize, and operate a QA function. You'll learn how to evaluate systems throughout the project life cycle so that you design, document, and formally test programs before they go on line. New chapters cover reviewing the adequacy of application controls and include a tutorial on metrics - a quantitative tool for measuring quality. As usual, Perry gives you scores of ready-to-use charts, forms, and checklists. Contents: The Quality Assurance Function. Quality Assurance: An Essential Element of Electronic Data Processing. Role of a Quality Assurance Group. Developing the Quality Assurance Function. Systems Review Priorities: Allocating QA Time. Conducting Reviews of Application Systems. Quality Assurance Review of an Application System. Initiating Systems Review. Conducting a Quality Assurance Review. Reviewing the Adequacy of Application Controls. Quality Assurance Review Techniques. Reporting Quality Assurance Results. Quality Assurance Responsibilities and Methods. Verification, Validation, and Testing. Improving Software Maintenance. Reuse of Software. Special Quality Assurance Group Tasks. Quality Assurance and the Personal Computer. Measurements/Metrics. Quantitative Analysis of System Reviews. Metrics - A Tool for Defining and Measuring Quality. Measuring Computer System Reliability. Relationship to Internal Auditing. Sample Quality Assurance Manual. Testing Tools and Techniques.

WILLIAM E. PERRY, the author of over 50 books, is one of the most respected authorities in the field of quality assurance for information systems. Mr. Perry is the founder of the Quality Assurance Institute, an organization dedicated to the promotion of quality within the data processing profession.