Requirements engineering is one of the most complex and at the same time most crucial aspects of software engineering. It typically involves different stakeholders with different backgrounds. Constant changes in both the problem and thesolution domain make the work of the stakeholders extremely dynamic. New problems are discovered, additional information is needed, alternative solutions are proposed, several options are evaluated, and new hands-on experience is gained ona daily basis. The knowledge needed to define and implement requirements is immense, often interdisciplinary and...
Requirements engineering is one of the most complex and at the same time most crucial aspects of software engineering. It typically involves differ...
With the growth of public and private data stores and the emergence of off-the-shelf data-mining technology, recommendation systems have emerged that specifically address the unique challenges of navigating and interpreting software engineering data.
This book collects, structures and formalizes knowledge on recommendation systems in software engineering. It adopts a pragmatic approach with an explicit focus on system design, implementation, and evaluation. The book is divided into three parts: "Part I - Techniques" introduces basics for building recommenders in software engineering,...
With the growth of public and private data stores and the emergence of off-the-shelf data-mining technology, recommendation systems have emerged th...
Addressing crucial, often neglected issues in software projects, this volume presents theoretical approaches and practical results in managing requirements knowledge, focusing on the potential of 'lightweight' management technologies such as semantic 'wikis'.
Addressing crucial, often neglected issues in software projects, this volume presents theoretical approaches and practical results in managing require...
With the growth of public and private data stores and the emergence of off-the-shelf data-mining technology, recommendation systems have emerged that specifically address the unique challenges of navigating and interpreting software engineering data.
This book collects, structures and formalizes knowledge on recommendation systems in software engineering. It adopts a pragmatic approach with an explicit focus on system design, implementation, and evaluation. The book is divided into three parts: "Part I - Techniques" introduces basics for building recommenders in software engineering,...
With the growth of public and private data stores and the emergence of off-the-shelf data-mining technology, recommendation systems have emerged th...
