Mastering Software Engineering
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Mastering Software Project Management
Author: Murali Chemuturi
language: en
Publisher: J. Ross Publishing
Release Date: 2010-07-15
Project management software.
Mastering Software Quality Assurance
Author: Murali Chemuturi
language: en
Publisher: J. Ross Publishing
Release Date: 2010-09-15
This comprehensive reference on software development quality assurance addresses all four dimensions of quality: specifications, design, construction and conformance. It focuses on quality from both the micro and macro view. From a micro view, it details the aspect of building-in quality at the component level to help ensure that the overall deliverable has ingrained quality. From a macro view, it addresses the organizational level activities that provide an environment conducive to fostering quality in the deliverables as well as developing a culture focused on quality in the organization. Mastering Software Quality Assurance also explores a process driven approach to quality, and provides the information and guidance needed for implementing a process quality model in your organization. It includes best practices and valuable tools and techniques for software developers.Key Features • Provides a comprehensive, inclusive view of software quality • Tackles the four dimensions of quality as applicable to software development organizations • Offers unique insights into achieving quality at the component level • Deals comprehensively with all aspects of measuring software quality • Explores process quality from the standpoint of implementation rather than from the appraiser/assessor point of view • Delivers a bird's eye view of the ISO and CMMI models, and describes necessary steps for attaining conformance to those models
Mastering Shiny
Author: Hadley Wickham
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2021-04-29
Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant. Get started: Discover how the major pieces of a Shiny app fit together Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components Apply best practices: Examine useful techniques for making your Shiny apps work well in production