Case Is Software Automation
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CASE is Software Automation
Computer Aided Software Engineering (CASE) is the technology for automating software development and maintenance. This book, by one of the acknowledged experts on the subject, offers a very practical answer to the 25-year-old software crisis. Case technology is not at all that new, as it builds upon the structured techniques developed by Ed Yourdon, James Martin, Tom DeMarco and others in the 1970s. Many of the structured methodologies they fostered are enabled by CASE.
Experiences of Test Automation
Software test automation has moved beyond a luxury to become a necessity. Applications and systems have grown ever larger and more complex, and manual testing simply cannot keep up. As technology changes, and more organizations move into agile development, testing must adapt—and quickly. Test automation is essential, but poor automation is wasteful—how do you know where your efforts will take you? Authors Dorothy Graham and Mark Fewster wrote the field’s seminal text, Software Test Automation, which has guided many organizations toward success. Now, in Experiences of Test Automation, they reveal test automation at work in a wide spectrum of organizations and projects, from complex government systems to medical devices, SAP business process development to Android mobile apps and cloud migrations. This book addresses both management and technical issues, describing failures and successes, brilliant ideas and disastrous decisions and, above all, offers specific lessons you can use. Coverage includes Test automation in agile development How management support can make or break successful automation The importance of a good testware architecture and abstraction levels Measuring benefits and Return on Investment (ROI) Management issues, including skills, planning, scope, and expectations Model-Based Testing (MBT), monkey testing, and exploratory test automation The importance of standards, communication, documentation, and flexibility in enterprise-wide automation Automating support activities Which tests to automate, and what not to automate Hidden costs of automation: maintenance and failure analysis The right objectives for test automation: why “finding bugs” may not be a good objective Highlights, consisting of lessons learned, good points, and helpful tips Experiences of Test Automation will be invaluable to everyone considering, implementing, using, or managing test automation. Testers, analysts, developers, automators and automation architects, test managers, project managers, QA professionals, and technical directors will all benefit from reading this book.
Automated Software Engineering: A Deep Learning-Based Approach
Author: Suresh Chandra Satapathy
language: en
Publisher: Springer Nature
Release Date: 2020-01-07
This book discusses various open issues in software engineering, such as the efficiency of automated testing techniques, predictions for cost estimation, data processing, and automatic code generation. Many traditional techniques are available for addressing these problems. But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software’s complexity. Hence, many previously used methods are proving insufficient to solve the problems now arising in software development. The book highlights a number of unique problems and effective solutions that reflect the state-of-the-art in software engineering. Deep learning is the latest computing technique, and is now gaining popularity in various fields of software engineering. This book explores new trends and experiments that have yielded promising solutions to current challenges in software engineering. As such, it offers a valuable reference guide for a broad audience including systems analysts, software engineers, researchers, graduate students and professors engaged in teaching software engineering.