Running an Agile Software Development Project

More and more Agile projects are seeking architectural roots as they struggle with complexity and scale – and they're seeking lightweight ways to do it Still seeking? In this book the authors help you to find your own path Taking cues from Lean development, they can help steer your project toward practices with longstanding track records Up-front architecture? Sure. You can deliver an architecture as code that compiles and that concretely guides development without bogging it down in a mass of documents and guesses about the implementation Documentation? Even a whiteboard diagram, or a CRC card, is documentation: the goal isn't to avoid documentation, but to document just the right things in just the right amount Process? This all works within the frameworks of Scrum, XP, and other Agile approaches

An accessible, innovative perspective on using the flexibility of agile practices to increase software quality and profitability When agile approaches in your organization don't work as expected or you feel caught in the choice between agility and discipline, it is time to stop and think about software development rhythms! Agile software development is a popular development process that continues to reshape philosophies on the connections between disciplined processes and agile practices. In Software Development Rhythms, authors Lui and Chan explain how adopting one practice and combining it with another builds upon the flexibility of agile practices to create a type of «synergy» defined as software development rhythms. The authors demonstrate how these rhythms can be harmonized to achieve synergies, making them stronger together than they would be apart. Software Development Rhythms provides programmers with a powerful metaphor for resolving some classic software management controversies and dealing with some common difficulties in agile software management. Software Development Rhythms is divided into two parts and covers: Essentials – provides an introduction to software development rhythms; explores the programmer's unconscious mind at work on software methodology; discusses the characteristics of the iterative cycle and open source software development; and introduces the topic of agile values and agile practices Rhythms – compares plagiarism programming with cut-paste programming; provides an in-depth discussion of different ways to approach collaborative programming; demonstrates how to combine and harmonize these practices so they can be applied to common software management problems such as motivating programmers, discovering solution patterns, managing software teams, and rescuing troubled IT projects; and takes a comprehensive look at Scrum, CMMI, Just-In-Time, Lean Software Development, and Test-Driven Development from a software development rhythm perspective Abundantly illustrated with informative graphics and amusing cartoons, Software Development Rhythms is a comprehensive and thought-provoking introduction to some of the most advanced concepts in current software management. Written in a refreshingly easy-to-read style and filled with interesting anecdotes, simulation exercises, and case studies, Software Development Rhythms is suitable for the practitioner and graduate student alike. It offers readers practical guidance on how to take the themes and concepts presented in this book back to their own projects to harmonize their software practices and release the synergies of their own teams.

Changing Software Development explains why software development is an exercise in change management and organizational intelligence. An underlying belief is that change is learning and learning creates knowledge. By blending the theory of knowledge management, developers and managers will gain the tools to enhance learning and change to accommodate new innovative approaches such as agile and lean computing. Changing Software Development is peppered with practical advice and case studies to explain how and why knowledge, learning and change are important in the development process. Today, managers are pre-occupied with knowledge management, organization learning and change management; while software developers are often ignorant of the bigger issues embedded in their work. This innovative book bridges this divide by linking the software world of technology and processes to the business world of knowledge, learning and change.

Why another book on software project management? For some time, the fields of project management, computer science, and software development have been growing rapidly and concurrently. Effective support for the enterprise demands the merging of these efforts into a coordinated discipline, one that incorporates best practices from both systems development and project management life cycles. Robert K. Wysocki creates that discipline in this book–a ready reference for professionals and consultants as well as a textbook for students of computer information systems and project management. By their very nature, software projects defy a «one size fits all» approach. In these pages you will learn to apply best-practice principles while maintaining the flexibility that's essential for successful software development. Learn how to make the planning process fit the need * Understand how and why software development must be planned on a certainty-to-uncertainty continuum * Categorize your projects on a four-quadrant model * Learn when to use each of the five SDPM strategies–Linear, Incremental, Iterative, Adaptive, and Extreme * Explore the benefits of each strategic model and what types of projects it supports best * Recognize the activities that go into the Scoping, Planning, Launching, Monitoring/Controlling, and Closing phases of each strategy * Apply this knowledge to the specific projects you manage * Get a clear picture of where you are and how to get where you want to go

At a time when people use more and more geographic information and tools, the management of geographical information in software systems still holds many challenges and motivates researchers from different backgrounds to propose innovative solutions. Representing geographical space beyond our mere perception is key to making relevant decisions, whether it is with respect to sustainable development or to the planning of everyday activities. Designing, sharing and exploiting such representations entails many challenges. This book presents recent software design projects, led in teams, which sometimes have different backgrounds, to address these challenges. It analyzes the specificities of these projects in terms of motivation, data models and analysis methods. Proposals are also put forward to improve resource sharing in this domain. Contents 1. Introduction, B?n?dicte Bucher and Florence Le Ber. Part 1. Software Presentation 2. ORBISGIS: Geographical Information System Designed by and for Research, Erwan Bocher and Gwendall Petit. 3. GEOXYGENE: an Interoperable Platform for Geographical Application Development, ?ric Grosso, Julien Perret and Micka?l Brasebin. 4. Spatiotemporal Knowledge Representation in AROM-ST, Bogdan Moisuc, Alina Miron, Marl?ne Villanova-Olivier and J?r?me Gensel. 5. GENGHIS: an Environment for the Generation of Spatiotemporal Visualization Interfaces, Paule-Annick Davoine, Bogdan Moisuc and J?r?me Gensel. 6. GEOLIS: a Logical Information System to Organize and Search Geo-Located Data, Olivier Bedel, S?bastien Ferr? and Olivier Ridoux. 7. GENEXP-LANDSITES: a 2D Agricultural Landscape Generating Piece of Software, Florence Le Ber and Jean-Fran?ois Mari. 8. MDWEB: Cataloging and Locating Environmental Resources, Jean-Christophe Desconnets and Th?r?se Libourel. 9. WEBGEN: Web Services to Share Cartographic Generalization Tools, Moritz Neun, Nicolas Regnauld and Robert Weibel. Part 2. Summary and Suggestions 10. Analysis of the Specificities of Software Development in Geomatics Research, Florence Le Ber and B?n?dicte Bucher. 11. Challenges and Proposals for Software Development Pooling in Geomatics, B?n?dicte Bucher, Julien Gaffuri, Florence Le Ber and Th?r?se Libourel.

Design quality SAS software and evaluate SAS software quality SAS Data Analytic Development is the developer’s compendium for writing better-performing software and the manager’s guide to building comprehensive software performance requirements. The text introduces and parallels the International Organization for Standardization (ISO) software product quality model, demonstrating 15 performance requirements that represent dimensions of software quality, including: reliability, recoverability, robustness, execution efficiency (i.e., speed), efficiency, scalability, portability, security, automation, maintainability, modularity, readability, testability, stability, and reusability. The text is intended to be read cover-to-cover or used as a reference tool to instruct, inspire, deliver, and evaluate software quality. A common fault in many software development environments is a focus on functional requirements—the what and how—to the detriment of performance requirements, which specify instead how well software should function (assessed through software execution) or how easily software should be maintained (assessed through code inspection). Without the definition and communication of performance requirements, developers risk either building software that lacks intended quality or wasting time delivering software that exceeds performance objectives—thus, either underperforming or gold-plating, both of which are undesirable. Managers, customers, and other decision makers should also understand the dimensions of software quality both to define performance requirements at project outset as well as to evaluate whether those objectives were met at software completion. As data analytic software, SAS transforms data into information and ultimately knowledge and data-driven decisions. Not surprisingly, data quality is a central focus and theme of SAS literature; however, code quality is far less commonly described and too often references only the speed or efficiency with which software should execute, omitting other critical dimensions of software quality. SAS® software project definitions and technical requirements often fall victim to this paradox, in which rigorous quality requirements exist for data and data products yet not for the software that undergirds them. By demonstrating the cost and benefits of software quality inclusion and the risk of software quality exclusion, stakeholders learn to value, prioritize, implement, and evaluate dimensions of software quality within risk management and project management frameworks of the software development life cycle (SDLC). Thus, SAS Data Analytic Development recalibrates business value, placing code quality on par with data quality, and performance requirements on par with functional requirements.

Raise the skill and competency level of project finance organizations Project Finance for Business Development helps readers understand how to develop a competitive advantage through project finance. Most importantly, it shows how different elements of project finance, such as opportunity screening and evaluation, project development, risk management, and due diligence come together to structure viable and financeable projects—which are crucial pieces missing from the current literature. Eliminating misconceptions about what is really important for successful project financings, this book shows you how to develop, structure, and implement projects successfully by creating competitive advantage. By shedding light on project finance failures, it also helps you avoid failures of your own. • Offers a roadmap for successful financing, participant roles and responsibilities, and assessing and testing project viability • Considers project finance from a broad business development and competitive advantage • Provides a strategic decision-forecasting perspective • Delves deeper than existing treatments of project finance into decisions needed to create and implement effective financing plans Helping readers develop, structure, and implement projects successfully by creating competitive advantage, this book is a useful tool for project sponsors and developers, helping them structure and implement projects by creating competitive advantage.

Learn how to successfully implement trustworthy computing tasks using aspect-oriented programming This landmark publication fills a gap in the literature by not only describing the basic concepts of trustworthy computing (TWC) and aspect-oriented programming (AOP), but also exploring their critical interrelationships. The author clearly demonstrates how typical TWC tasks such as security checks, in-and-out conditions, and multi-threaded safety can be implemented using AOP. Following an introduction, the book covers: Trustworthy computing, software engineering, and computer science Aspect-oriented programming and Aspect.NET Principles and case studies that apply AOP to TWC Coverage includes Aspect.NET, the AOP framework developed by the author for the Microsoft.NET platform, currently used in seventeen countries. The author discusses the basics of Aspect.NET architecture, its advantages compared to other AOP tools, and its functionality. The book has extensive practical examples and case studies of trustworthy software design and code using the Aspect.NET framework. In addition, the book explores other software technologies and tools for using AOP for trustworthy software development, including Java and AspectJ. This book also includes a valuable chapter dedicated to ERATO, the author's teaching method employed in this book, which has enabled thousands of students to quickly grasp and apply complex concepts in computing and software engineering, while the final chapter presents an overall perspective on the current state of AOP and TWC with a view toward the future. Software engineers, architects, developers, programmers, and students should all turn to this book to learn this tested and proven method to create more secure, private, and reliable computing.

The book is intended to provide a much deeper understanding of agile principles, methodologies, and practices to enable project managers to develop a more agile approach and understand how to blend and tailor agile and traditional principles, methodologies, and practices to create an appropriate balance of control and agility to fit a business environment as well as the risks and complexities of any individual project. The book will also provide business managers and leaders an understanding of how to fit agile methodologies into an overall business strategy that provides the right balance of control and agility for their business.

Based on the author’s first-hand experience and expertise, this book offers a proven framework for global software engineering. Readers will learn best practices for managing a variety of software projects, coordinating the activities of several locations across the globe while accounting for cultural differences. Most importantly, readers will learn how to engineer a first-rate software product as efficiently as possible by fully leveraging global personnel and resources. Global Software and IT takes a unique approach that works for projects of any size, examining such critical topics as: Executing a seamless project across multiple locations Mitigating the risks of off-shoring Developing and implementing processes for global development Establishing practical outsourcing guidelines Fostering effective collaboration and communication across continents and culture This book provides a balanced framework for planning global development, covering topics such as managing people in distributed sites and managing a project across locations. It delivers a comprehensive business model that is beneficial to anyone looking for the most cost-effective, efficient way to engineer good software products.