Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The concept of processes is at the heart of software and systems engineering. Software process models integrate software engineering methods and techniques and are the basis for managing large-scale software and IT projects. High product quality routinely results from high process quality. Software process management deals with getting and maintaining control over processes and their evolution. Becoming acquainted with existing software process models is not enough, though. It is important to understand how to select, define, manage, deploy, evaluate, and systematically evolve software process models so that they suitably address the problems, applications, and environments to which they are applied. Providing basic knowledge for these important tasks is the main goal of this textbook. Münch and his co-authors aim at providing knowledge that enables readers to develop useful process models that are suitable for their own purposes. They start with the basic concepts. Subsequently, existing representative process models are introduced, followed by a description of how to create individual models and the necessary means for doing so (i.e., notations and tools). Lastly, different possible usage scenarios for process management are highlighted (e.g. process improvement and software process simulation). Their book is aimed at students and researchers working on software project management, software quality assurance, and software measurement; and at practitioners who are interested in process definition and management for developing, maintaining, and operating software-intensive systems and services.

Computer software -- Development -- Management. --- Software engineering -- Management. --- Software engineering. --- Computer software --- Software engineering --- Engineering & Applied Sciences --- Computer Science --- Management --- Development --- Information Technology --- Software Engineering --- Development. --- Management. --- Development of computer software --- Software development --- Computer science. --- Project management. --- Management information systems. --- Computer Science. --- Software Engineering. --- Management of Computing and Information Systems. --- Project Management. --- Information Systems. --- Industrial project management --- Computer software engineering --- Engineering --- Informatics --- Science --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Communication systems

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The 7th International Conference on Product Focused Software Process Improvement (PROFES 2006) brought together researchers and industrial practitioners for reporting new research results and exchanging experiences and findings in the area of process and product improvement. The focus of the conference was on understanding, evaluating, controlling, and improving the relationship between process improvement activities (such as the deployment of innovative defect detection processes) and their effects on products (such as improved product reliability and safety). Consequently, major topics of the conference included the evaluation of existing software process improvement (SPI) approaches in different contexts, the presentation of new or modified SPI approaches, and the relation between SPI and new development techniques or emerging application domains. The need for SPI is being widely recognized. Current trends in software intensive systems such as increased distribution of software development and growing dependability on software-intensive systems in everyday life emphasize this need. This implies the establishment of advanced process improvement capabilities and an adequate understanding of the impact of the processes on the generated products, services, and business value in different situations. Recent trends enforce the establishment of such capabilities: more and more products are being developed in distributed, global environments with many customer-supplier relations in the development chain. Outsourcing, off-shoring, near-shoring, and in-sourcing aggravate this trend. In addition, systems are being built from multiple disciplines (such as electronics, mechanics, and software). Supporting such distributed and multi-disciplinary development requires well-understood and accurately implemented development process interfaces, process synchronization, and process evolution.

Software engineering --- Computer software --- Software measurement --- Génie logiciel --- Logiciels --- Mesure du logiciel --- Congresses. --- Quality control --- Congrès --- Qualité --- Contrôle --- Computer Science --- Engineering & Applied Sciences --- Development --- Information Technology --- Software Engineering --- Computer science. --- Software engineering. --- Application software. --- Computers and civilization. --- Management information systems. --- Computer Science. --- Software Engineering/Programming and Operating Systems. --- Software Engineering. --- Management of Computing and Information Systems. --- Computers and Society. --- Computer Appl. in Administrative Data Processing. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Civilization and computers --- Civilization --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software engineering --- Engineering --- Informatics --- Science --- Communication systems --- Information Systems. --- Information systems.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book focuses on the design, development, management, governance and application of evolving software processes that are aligned with changing business objectives, such as expansion to new domains or shifting to global production. In the context of an evolving business world, it examines the complete software process lifecycle, from the initial definition of a product to its systematic improvement. In doing so, it addresses difficult problems, such as how to implement processes in highly regulated domains or where to find a suitable notation system for documenting processes, and provides essential insights and tips to help readers manage process evolutions. And last not least, it provides a wealth of examples and cases on how to deal with software evolution in practice. Reflecting these topics, the book is divided into three parts. Part 1 focuses on software business transformation and addresses the questions of which process(es) to use and adapt, and how to organize process improvement programs. Subsequently, Part 2 mainly addresses process modeling. Lastly, Part 3 collects concrete approaches, experiences, and recommendations that can help to improve software processes, with a particular focus on specific lifecycle phases. This book is aimed at anyone interested in understanding and optimizing software development tasks at their organization. While the experiences and ideas presented will be useful for both those readers who are unfamiliar with software process improvement and want to get an overview of the different aspects of the topic, and for those who are experts with many years of experience, it particularly targets the needs of researchers and Ph.D. students in the area of software and systems engineering or information systems who study advanced topics concerning the organization and management of (software development) projects and process improvements projects. .

Computer science. --- Management information systems. --- Software engineering. --- Computer Science. --- Software Engineering. --- Management of Computing and Information Systems. --- Software Management. --- Computer software --- Agile software development --- Development --- Management. --- Agile development (Computer science) --- Agile methods (Computer science) --- Agile processes (Computer science) --- Information Systems. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Computer software engineering --- Engineering --- Communication systems --- Informatics --- Science

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Aligning an organization’s goals and strategies requires specifying their rationales and connections so that the links are explicit and allow for analytic reasoning about what is successful and where improvement is necessary. This book provides guidance on how to achieve this alignment, how to monitor the success of goals and strategies and use measurement to recognize potential failures, and how to close alignment gaps. It uses the GQM+Strategies approach, which provides concepts and actionable steps for creating the link between goals and strategies across an organization and allows for measurement-based decision-making. After outlining the general motivation for organizational alignment through measurement, the GQM+Strategies approach is described concisely, with a focus on the basic model that is created and the process for creating and using this model. The recommended steps of all six phases of the process are then described in detail with the help of a comprehensive application example. Finally, the industrial challenges addressed by the method and cases of its application in industry are presented, and the relations to other approaches, such as Balanced Scorecard, are described. The book concludes with supplementary material, such as checklists and guidelines, to support the application of the method. This book is aimed at organization leaders, managers, decision makers, and other professionals interested in aligning their organization’s goals and strategies and establishing an efficient strategic measurement program. It is also interesting for academic researchers looking for mechanisms to integrate their research results into organizational environments.

Software engineering --- Project management --- Management. --- Data processing. --- Software engineering. --- Information Systems. --- Project management. --- Management information systems. --- Software Engineering. --- Management of Computing and Information Systems. --- Project Management. --- Software Management. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Industrial project management --- Computer software engineering --- Engineering --- Communication systems --- Computer science. --- Informatics --- Science

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book discusses important topics for engineering and managing software startups, such as how technical and business aspects are related, which complications may arise and how they can be dealt with. It also addresses the use of scientific, engineering, and managerial approaches to successfully develop software products in startup companies. The book covers a wide range of software startup phenomena, and includes the knowledge, skills, and capabilities required for startup product development; team capacity and team roles; technical debt; minimal viable products; startup metrics; common pitfalls and patterns observed; as well as lessons learned from startups in Finland, Norway, Brazil, Russia and USA. All results are based on empirical findings, and the claims are backed by evidence and concrete observations, measurements and experiments from qualitative and quantitative research, as is common in empirical software engineering. The book helps entrepreneurs and practitioners to become aware of various phenomena, challenges, and practices that occur in real-world startups, and provides insights based on sound research methodologies presented in a simple and easy-to-read manner. It also allows students in business and engineering programs to learn about the important engineering concepts and technical building blocks of a software startup. It is also suitable for researchers at different levels in areas such as software and systems engineering, or information systems who are studying advanced topics related to software business.

Computer industry. --- Management. --- Industrial management. --- Software engineering. --- New business enterprises. --- Computers. --- The Computer Industry. --- Innovation/Technology Management. --- Software Engineering. --- Start-Ups/Venture Capital. --- The Computing Profession. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Business starts --- Development stage enterprises --- How to start a business --- New companies --- Start-up business enterprises --- Start-up companies --- Start-ups (Business enterprises) --- Starting a business --- Startups (Business enterprises) --- Business enterprises --- Business incubators --- Computer software engineering --- Engineering --- Business administration --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Management --- Business --- Industrial organization --- Administration --- Industrial relations --- Organization --- Electronic industries --- Application software --- Development. --- Development of application software