Software Engineering Approaches to Enable Digital Transformation Technologies
- 182 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Software Engineering Approaches to Enable Digital Transformation Technologies
About this book
Software Engineering Approaches to Enable Digital Transformation Technologies features contributions reflecting ideas and research in enabling digital transformation technologies through software engineering. To date, multiple, different approaches have been adopted to develop software solutions for a variety of different problems. Of all the available approaches, the main approaches are level-oriented, data flow-oriented, data structure-oriented, and object-oriented design approaches. The other focus of the book is digital transformation, which can be defined as the adoption of digital technology to improve efficiency, value, and innovation
Digitalization is more than just putting additional technological systems and services in place. Rather than improving conventional methods, a true digital transformation initiative includes radically rethinking company structures and procedures. There are four types of digital transformation: business process, business model, domain, and cultural and organizational. Companies are being challenged to develop new business models that consider and harness digitalization. From the standpoint of software engineering, digital transformation alters how software is built.
Current trends include the development of mobile applications, cloud applications, and Internet of Things (IoT) applications. Emerging trends are the development of digital twins, robotics, artificial intelligence, machine learning, augmented reality, and additive manufacturing. This book examines the challenges that arise due to digitization in society and presents plausible solutions that could be applied to counter these challenges and convert them into opportunities. These solutions may further be improvised and worked out for the software companies from the technological perspective, organizational perspective, and management perspective.
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Information
Table of contents
- Cover
- Half Title
- Title
- Copyright
- Contents
- Preface
- Contributors
- 1 Precise Prediction of Water Level Using the Naïve Bayes Algorithm for Smart Irrigation in Pomegranate Farms
- 2 A Brief Review on Lightweight Practice of Docker Vulnerabilities
- 3 Deep Learning-Based Serverless Image Handler Using Amazon Web Services
- 4 Ontology-Based Delegation Enforcement in the Cloud Ecosystem
- 5 Applicability of Artificial Intelligence for Social Development in Rural and Urban Sectors
- 6 Disease Prediction Using Bayes’ Theorem
- 7 Secure Voting System Using Blockchain Technology
- 8 Malware Analysis: An Experimental Approach
- 9 Deployment of New Life Cycle Model for Applications of Web
- 10 The Future Possibilities of Artificial Intelligence in Modern Drapes
- 11 Mobile Application and Communication
- 12 Emerging and Growing Technologies in Blockchain Security: A Review
- Index