George Heineman – författare

Software components are increasingly central to efficient, cost-effective software development. In this book, the world's leading experts on component software development come together to present the field's state of the art, and to offer new insights into the key challenges of component architecture and reuse. With original contributions by leaders such as Ivar Jacobson, Martin Griss, Len Bass, Paul Clements, Don Reifer, and Will Tracz, this carefully edited book is the "first word" on components: a tool for helping practitioners get the most out of all their component-based resources. It offers new insight for deciding whether and how to implement component-based development strategies; as well as a clear understanding of the obstacles to successful component development, and "best practices" responses. The contributors review diverse approaches to component development, present state-of-the-art processes for building component-based systems, and introduce new research directions that will impact component development in the coming decade. For software developers, designers and architects; business analysts; technology executives; computer science and software engineering researchers; project managers; QA specialists, and other professionals.

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs-with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate.With this book, you will: Solve a particular coding problem or improve on the performance of an existing solution Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips Learn the expected performance of an algorithm, and the conditions it needs to perform at its best Discover the impact that similar design decisions have on different algorithms Learn advanced data structures to improve the efficiency of algorithms

When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author George Heineman (Algorithms in a Nutshell) provides concise and informative descriptions of key algorithms that improve coding. Software developers, testers, and maintainers will discover how algorithms solve computational problems creatively.

Each chapter builds on earlier chapters through eye-catching visuals and a steady rollout of essential concepts, including an algorithm analysis to classify the performance of every algorithm presented in the book. At the end of each chapter, you''ll get to apply what you''ve learned to a novel challenge problem -- simulating the experience you might find in a technical code interview.

With this book, you will:

Examine fundamental algorithms central to computer science and software engineeringLearn common strategies for efficient problem solving -- such as divide and conquer, dynamic programming, and greedy approachesAnalyze code to evaluate time complexity using big O notationUse existing Python libraries and data structures to solve problems using algorithmsUnderstand the main steps of important algorithms

When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author George Heineman (Algorithms in a Nutshell) provides concise and informative descriptions of key algorithms that improve coding. Software developers, testers, and maintainers will discover how algorithms solve computational problems creatively.

Each chapter builds on earlier chapters through eye-catching visuals and a steady rollout of essential concepts, including an algorithm analysis to classify the performance of every algorithm presented in the book. At the end of each chapter, you''ll get to apply what you''ve learned to a novel challenge problem -- simulating the experience you might find in a technical code interview.

With this book, you will:

Examine fundamental algorithms central to computer science and software engineeringLearn common strategies for efficient problem solving -- such as divide and conquer, dynamic programming, and greedy approachesAnalyze code to evaluate time complexity using big O notationUse existing Python libraries and data structures to solve problems using algorithmsUnderstand the main steps of important algorithms

When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author George Heineman (Algorithms in a Nutshell) provides concise and informative descriptions of key algorithms that improve coding. Software developers, testers, and maintainers will discover how algorithms solve computational problems creatively.Each chapter builds on earlier chapters through eye-catching visuals and a steady rollout of essential concepts, including an algorithm analysis to classify the performance of every algorithm presented in the book. At the end of each chapter, you'll get to apply what you've learned to a novel challenge problem -- simulating the experience you might find in a technical code interview.With this book, you will:Examine fundamental algorithms central to computer science and software engineeringLearn common strategies for efficient problem solving -- such as divide and conquer, dynamic programming, and greedy approachesAnalyze code to evaluate time complexity using big O notationUse existing Python libraries and data structures to solve problems using algorithmsUnderstand the main steps of important algorithms

On behalf of the Organizing Committee I am pleased to present the proceedings of the 2005 Symposium on Component-Based Software Engineering (CBSE). CBSE is concerned with the development of software-intensive systems from reusable parts (components), the development of reusable parts, and system maintenance and improvement by means of component replacement and c- tomization. CBSE 2005, “Software Components at Work,” was the eighth in a series of events that promote a science and technology foundation for achieving predictable quality in software systems through the use of software component technology and its associated software engineering practices. We were fortunate to have a dedicated Program Committee comprised of 30 internationally recognized researchers and industrial practitioners. We received 91 submissions andeach paper wasreviewedby at least three ProgramComm- tee members (four for papers with an author on the Program Committee). The entirereviewingprocesswassupportedbyCyberChairPro,theWeb-basedpaper submissionandreviewsystemdevelopedandsupportedbyRichardvandeStadt of Borbala Online Conference Services. After a two-day virtual Program C- mittee meeting, 21 submissions were accepted as long papers and 2 submissions were accepted as short papers.

On behalf of the Organizing Committee I am pleased to present the proceedings of the 2005 Symposium on Component-Based Software Engineering (CBSE). CBSE is concerned with the development of software-intensive systems from reusable parts (components), the development of reusable parts, and system maintenance and improvement by means of component replacement and c- tomization. CBSE 2005, “Software Components at Work,” was the eighth in a series of events that promote a science and technology foundation for achieving predictable quality in software systems through the use of software component technology and its associated software engineering practices. We were fortunate to have a dedicated Program Committee comprised of 30 internationally recognized researchers and industrial practitioners. We received 91 submissions andeach paper wasreviewedby at least three ProgramComm- tee members (four for papers with an author on the Program Committee). The entirereviewingprocesswassupportedbyCyberChairPro,theWeb-basedpaper submissionandreviewsystemdevelopedandsupportedbyRichardvandeStadt of Borbala Online Conference Services. After a two-day virtual Program C- mittee meeting, 21 submissions were accepted as long papers and 2 submissions were accepted as short papers.

The goal of QoSA is to addressaspects of softwarearchitecturefocusing broadly on quality characteristics and how these relate to the design of software arc- tectures. Speci?c issues of interest are de?ning quality measures, evaluating and managing architecture quality, linking architecture to requirements and imp- mentation, and preserving architecture quality throughout the lifetime of the system. Past themes for QoSA include Architectures for Adaptive Software S- tems (2009), Models and Architecture (2008), and Software Architecture, C- ponents, and Applications (2007). In this, the sixth incarnation of QoSA, researchers and practitioners dem- strated how speci?c sub-elements within an architecture lead to measurable quality in the implemented system. While clear challenges remain, the theme for QoSA 2010 was"Research into Practice - Reality and Gaps. " Therewere32submissionstoQoSA2010fromwhichtheProgramCommittee selected 11 long papers, for an acceptance rate of 34%.To further foster collaborationandexchangeofideaswiththecomponent-basedsoftwareengine- ing community, QoSAwasheldaspart ofthe conferenceseriesFederatedEvents on Component-based Software Engineering and Software Architecture (COMPARCH). These federated events wereQoSA 2010,the 13th International Symposium on Component-Based Software Engineering (CBSE 2010), the 15th International Workshop on Component-Oriented Programming (WCOP 2010), and the First International Symposium on Architecting Critical Systems (ISARCS 2010), a symposium dedicated to dependability, safety, security and testing/analysis for architecting systems. Because of the close relationship - tween the CBSE and QoSA communities, COMPARCH 2010 once again in- gratedthesetechnicalprogramstofurtherpromotediscussionandcollaboration. We would like to thank the QoSA Steering Committee and the members of theProgramCommitteefor their dedicatedandvaluableworkduringthe review process. We thank Alfred Hofmann from Springer for his continuing support in reviewing and publishing this proceedings volume.