The purpose of the software manufacturing industry is to produce high-quality applications that meet the requirements of customers and users who live long, that are easy to use and have as few errors as possible. Building such an ideal software is a relatively difficult process. To be successful in this industry, a specific discipline is needed when designing and developing software. There is therefore an engineering perspective on the whole process. Many companies and individuals still develop software chaotic, based on a poor analysis, which leads to unsuccessful outcomes such as software failures that fail to meet the expected requirements. Software Engineering applies to optimize these phenomena
The past two years I have conducted an extensive literature and tool review to answer the question: ...
Machine Learning (ML) has become a ubiquitous tool for predicting and classifying data and has found...
The goal of this book is to present the latest applications of machine learning, which mainly includ...
The purpose of the software manufacturing industry is to produce high-quality applications that meet...
[[abstract]]Machine learning deals with the issue of how to build programs that improve their perfor...
[[abstract]]Machine learning is the study of building computer programs that improve their performan...
Both Software Engineering and Machine Learning have become recognized disciplines. In this article I...
Machine Learning (ML) is the discipline that studies methods for automatically inferring models from...
Artificial intelligence enabled systems have been an inevitable part of everyday life. However, effi...
The application of machine learning solutions in software engineering tools and processes can bring ...
The increase of computer processor speed and the ubiquitous availability of data coming from a diver...
A first challenge in teaching machine learning to software engineering and computer science students...
Artificial intelligence enabled systems have been an inevitable part of everyday life. However, effi...
In the last couple of years we have witnessed an enormous increase of machine learning (ML) applicat...
Most research on the application of machine learning to engineering problems have solved artificial ...
The past two years I have conducted an extensive literature and tool review to answer the question: ...
Machine Learning (ML) has become a ubiquitous tool for predicting and classifying data and has found...
The goal of this book is to present the latest applications of machine learning, which mainly includ...
The purpose of the software manufacturing industry is to produce high-quality applications that meet...
[[abstract]]Machine learning deals with the issue of how to build programs that improve their perfor...
[[abstract]]Machine learning is the study of building computer programs that improve their performan...
Both Software Engineering and Machine Learning have become recognized disciplines. In this article I...
Machine Learning (ML) is the discipline that studies methods for automatically inferring models from...
Artificial intelligence enabled systems have been an inevitable part of everyday life. However, effi...
The application of machine learning solutions in software engineering tools and processes can bring ...
The increase of computer processor speed and the ubiquitous availability of data coming from a diver...
A first challenge in teaching machine learning to software engineering and computer science students...
Artificial intelligence enabled systems have been an inevitable part of everyday life. However, effi...
In the last couple of years we have witnessed an enormous increase of machine learning (ML) applicat...
Most research on the application of machine learning to engineering problems have solved artificial ...
The past two years I have conducted an extensive literature and tool review to answer the question: ...
Machine Learning (ML) has become a ubiquitous tool for predicting and classifying data and has found...
The goal of this book is to present the latest applications of machine learning, which mainly includ...