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Python for Software Design is a concise introduction to software design using the Python programming language.
The modern field of software metrics emerged from the computer modeling and "statistical thinking" services of the 1980s. As the field evolved, metrics programs were integrated with project management, and metrics grew to be a major tool in the managerial decision-making process of software companies. Now practitioners in the software industry have a reference that validates software metrics as a crucial tool for efficient and successful project management and execution.
An effective, quantitative approach for estimating and managing software projects<br> <br> <br> How many people do I need? When will the quality be good enough for commercial sale? Can this really be done in two weeks? Rather than relying on instinct, the authors of Software Measurement and Estimation offer a new, tested approach that includes the quantitative tools, data, and knowledge needed to make sound estimations.<br> <br> The text begins with the foundations of measurement, identifies the appropriate metrics, and then focuses on techniques and tools for estimating the effort needed to reach a given level of quality and performance for a software project. All the factors that impact estimations are thoroughly examined, giving you the tools needed to regularly adjust and improve your estimations to complete a project on time, within budget, and at an expected level of quality.<br> <br> This text includes several features that have proven to be successful in making the material accessible and easy to master:<br> * Simple, straightforward style and logical presentation and organization enables you to build a solid foundation of theory and techniques to tackle complex estimations<br> * Examples, provided throughout the text, illustrate how to use theory to solve real-world problems<br> * Projects, included in each chapter, enable you to apply your newfound knowledge and skills<br> * Techniques for effective communication of quantitative data help you convey your findings and recommendations to peers and management<br> <br> Software Measurement and Estimation: A Practical Approach allows practicing software engineers and managers to better estimate, manage, and effectively communicate the plans and progress of their software projects. With its classroom-tested features, this is an excellent textbook for advanced undergraduate-level and graduate students in computer science and software engineering.<br> <br> An Instructor Support FTP site is available from the Wiley editorial department.
Communication networks and computer systems research is entering a new phase in which many of the established models and techniques of the last twenty years are being challenged. The research community is continuing to free itself from past intellectual constraints so that it may fully exploit the convergence of computing and communications. Evaluating the performance of emerging communications and computer systems constitutes a huge challenge. Thus, current research provides a set of heterogeneous tools and techniques embracing the uncertainties of time and space varying environments when the requests for diverse services are made in real time, and with very different quality of service expectations.These novel techniques will lead to fast and economic service deployment and effective dynamic resource management, and hence to new business strategies and infrastructures that will facilitate the emergence of future services and applications.This volume contains contributions and presentations made by leading international researchers at a workshop which was held in April 2004 to honour Professor Erol Gelenbe on the occasion of his inaugural lecture as the Dennis Gabor Chair at Imperial College London.
This book gives a realistic overview of model-based testing, its values and prerequisites for success when deploying the approach in a software testing industrialization perspective. The text shows how to save time and lower costs while raising quality in the phases of system testing, acceptance testing and, more generally, all functional testing phases.</p> <p> Key features:</p> <ul> <li>Details the key role of model-based testing to ensure continuity in the software testing industrialization process, describing how each step could be implemented. </li> <li>Uses detailed examples – the actiTIME application – to teach techniques of model-based testing, including modeling guidelines, test generation strategies and automated test execution. </li> <li>Offers a companion website which makes available machine-readable versions of case studies and examples used in the book, as well as presentation slides. </li> </ul>
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