Engineering Software for Modern Challenges PDF Download
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Author: Dayang Norhayati A. Jawawi
Publisher: Springer Nature
ISBN: 3031199685
Category : Computers
Languages : en
Pages : 182
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Book Description
This volume constitutes selected papers presented at the First International Conference on Engineering Software for Modern Challenges, ESMoC 2021, held in Johor, Malaysia, in October 20-21, 2021. The 17 papers presented were thoroughly reviewed and selected from the 167 submissions. They are organized in the topical sections on software engineering; intelligent systems; software quality.
Author: David Farley
Publisher: Addison-Wesley Professional
ISBN: 0137314868
Category : Computers
Languages : en
Pages : 479
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Book Description
Improve Your Creativity, Effectiveness, and Ultimately, Your Code In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues. Writing for programmers, managers, and technical leads at all levels of experience, Farley illuminates durable principles at the heart of effective software development. He distills the discipline into two core exercises: learning and exploration and managing complexity. For each, he defines principles that can help you improve everything from your mindset to the quality of your code, and describes approaches proven to promote success. Farley's ideas and techniques cohere into a unified, scientific, and foundational approach to solving practical software development problems within realistic economic constraints. This general, durable, and pervasive approach to software engineering can help you solve problems you haven't encountered yet, using today's technologies and tomorrow's. It offers you deeper insight into what you do every day, helping you create better software, faster, with more pleasure and personal fulfillment. Clarify what you're trying to accomplish Choose your tools based on sensible criteria Organize work and systems to facilitate continuing incremental progress Evaluate your progress toward thriving systems, not just more "legacy code" Gain more value from experimentation and empiricism Stay in control as systems grow more complex Achieve rigor without too much rigidity Learn from history and experience Distinguish "good" new software development ideas from "bad" ones Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Author: Armando Fox
Publisher:
ISBN: 9780984881239
Category : Computers
Languages : en
Pages : 0
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Book Description
(NOTE: this Beta Edition may contain errors. See http://saasbook.info for details.) A one-semester college course in software engineering focusing on cloud computing, software as a service (SaaS), and Agile development using Extreme Programming (XP). This book is neither a step-by-step tutorial nor a reference book. Instead, our goal is to bring a diverse set of software engineering topics together into a single narrative, help readers understand the most important ideas through concrete examples and a learn-by-doing approach, and teach readers enough about each topic to get them started in the field. Courseware for doing the work in the book is available as a virtual machine image that can be downloaded or deployed in the cloud. A free MOOC (massively open online course) at saas-class.org follows the book's content and adds programming assignments and quizzes. See http://saasbook.info for details.(NOTE: this Beta Edition may contain errors. See http://saasbook.info for details.) A one-semester college course in software engineering focusing on cloud computing, software as a service (SaaS), and Agile development using Extreme Programming (XP). This book is neither a step-by-step tutorial nor a reference book. Instead, our goal is to bring a diverse set of software engineering topics together into a single narrative, help readers understand the most important ideas through concrete examples and a learn-by-doing approach, and teach readers enough about each topic to get them started in the field. Courseware for doing the work in the book is available as a virtual machine image that can be downloaded or deployed in the cloud. A free MOOC (massively open online course) at saas-class.org follows the book's content and adds programming assignments and quizzes. See http://saasbook.info for details.
Author: John K. Ousterhout
Publisher:
ISBN: 9781732102217
Category : Computer programs
Languages : en
Pages : 0
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Book Description
"This book addresses the topic of software design: how to decompose complex software systems into modules (such as classes and methods) that can be implemented relatively independently. The book first introduces the fundamental problem in software design, which is managing complexity. It then discusses philosophical issues about how to approach the software design process and it presents a collection of design principles to apply during software design. The book also introduces a set of red flags that identify design problems. You can apply the ideas in this book to minimize the complexity of large software systems, so that you can write software more quickly and cheaply."--Amazon.
Author: Vaclav Rajlich
Publisher: CRC Press
ISBN: 1466510358
Category : Computers
Languages : en
Pages : 308
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Book Description
This text teaches students basic software engineering skills and helps practitioners refresh their knowledge and explore recent developments in the field, including software changes and iterative processes of software development. The book discusses the software change and its phases, including concept location, impact analysis, refactoring, actualization, and verification. It then covers the most common iterative processes: agile, directed, and centralized processes. The text also journeys through the initial development of software from scratch to the final stages that lead toward software closedown.
Author: Meir Kalech
Publisher: World Scientific
ISBN: 9811239932
Category : Computers
Languages : en
Pages : 457
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Book Description
Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engineering (SE).Artificial Intelligence (AI) is a growing field in computer science that has been proven effective in applying and developing AI techniques to address various SE challenges.This unique compendium covers applications of state-of-the-art AI techniques to the key areas of SE (design, development, debugging, testing, etc).All the materials presented are up-to-date. This reference text will benefit researchers, academics, professionals, and postgraduate students in AI, machine learning and software engineering.Related Link(s)
Author: Gergely Orosz
Publisher:
ISBN: 9781638778868
Category :
Languages : en
Pages : 238
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Book Description
While there is a lot of appreciation for backend and distributed systems challenges, there tends to be less empathy for why mobile development is hard when done at scale. This book collects challenges engineers face when building iOS and Android apps at scale, and common ways to tackle these. By scale, we mean having numbers of users in the millions and being built by large engineering teams. For mobile engineers, this book is a blueprint for modern app engineering approaches. For non-mobile engineers and managers, it is a resource with which to build empathy and appreciation for the complexity of world-class mobile engineering. The book covers iOS and Android mobile app challenges on these dimensions: Challenges due to the unique nature of mobile applications compared to the web, and to the backend. App complexity challenges. How do you deal with increasingly complicated navigation patterns? What about non-deterministic event combinations? How do you localize across several languages, and how do you scale your automated and manual tests? Challenges due to large engineering teams. The larger the mobile team, the more challenging it becomes to ensure a consistent architecture. If your company builds multiple apps, how do you balance not rewriting everything from scratch while moving at a fast pace, over waiting on "centralized" teams? Cross-platform approaches. The tooling to build mobile apps keeps changing. New languages, frameworks, and approaches that all promise to address the pain points of mobile engineering keep appearing. But which approach should you choose? Flutter, React Native, Cordova? Native apps? Reuse business logic written in Kotlin, C#, C++ or other languages? What engineering approaches do "world-class" mobile engineering teams choose in non-functional aspects like code quality, compliance, privacy, compliance, or with experimentation, performance, or app size?
Author: Josip Stjepandić
Publisher: Springer
ISBN: 331913776X
Category : Technology & Engineering
Languages : en
Pages : 836
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Book Description
Presenting the gradual evolution of the concept of Concurrent Engineering (CE), and the technical, social methods and tools that have been developed, including the many theoretical and practical challenges that still exist, this book serves to summarize the achievements and current challenges of CE and will give readers a comprehensive picture of CE as researched and practiced in different regions of the world. Featuring in-depth analysis of complex real-life applications and experiences, this book demonstrates that Concurrent Engineering is used widely in many industries and that the same basic engineering principles can also be applied to new, emerging fields like sustainable mobility. Designed to serve as a valuable reference to industry experts, managers, students, researchers, and software developers, this book is intended to serve as both an introduction to development and as an analysis of the novel approaches and techniques of CE, as well as being a compact reference for more experienced readers.
Author: Capers Jones
Publisher: Addison-Wesley
ISBN: 0133365891
Category : Computers
Languages : en
Pages : 488
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Book Description
“Capers Jones has accumulated the most comprehensive data on every aspect of software engineering, and has performed the most scientific analysis on this data. Now, Capers performs yet another invaluable service to our industry, by documenting, for the first time, its long and fascinating history. Capers’ new book is a must-read for every software engineering student and information technology professional.” — From the Foreword by Tony Salvaggio, CEO and president, Computer Aid, Inc. Software engineering is one of the world’s most exciting and important fields. Now, pioneering practitioner Capers Jones has written the definitive history of this world-changing industry. Drawing on several decades as a leading researcher and innovator, he illuminates the field’s broad sweep of progress and its many eras of invention. He assesses the immense impact of software engineering on society, and previews its even more remarkable future. Decade by decade, Jones examines trends, companies, winners, losers, new technologies, productivity/quality issues, methods, tools, languages, risks, and more. He reviews key inventions, estimates industry growth, and addresses “mysteries” such as why programming languages gain and lose popularity. Inspired by Paul Starr’s Pulitzer Prize–winning The Social Transformation of American Medicine, Jones’ new book is a tour de force—and compelling reading for everyone who wants to understand how software became what it is today. COVERAGE INCLUDES • The human need to compute: from ancient times to the modern era • Foundations of computing: Alan Turing, Konrad Zuse, and World War II • Big business, big defense, big systems: IBM, mainframes, and COBOL • A concise history of minicomputers and microcomputers: the birth of Apple and Microsoft • The PC era: DOS, Windows, and the rise of commercial software • Innovations in writing and managing code: structured development, objects, agile, and more • The birth and explosion of the Internet and the World Wide Web • The growing challenges of legacy system maintenance and support • Emerging innovations, from wearables to intelligent agents to quantum computing • Cybercrime, cyberwarfare, and large-scale software failure
Author: Panel on Statistical Methods in Software Engineering
Publisher: National Academies Press
ISBN: 0309588545
Category : Computers
Languages : en
Pages : 84
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Book Description
This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering. It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the "big picture," as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production.
Author: Tim Menzies
Publisher: Morgan Kaufmann
ISBN: 0124173071
Category : Computers
Languages : en
Pages : 415
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Book Description
Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects. - Shares the specific experience of leading researchers and techniques developed to handle data problems in the realm of software engineering - Explains how to start a project of data science for software engineering as well as how to identify and avoid likely pitfalls - Provides a wide range of useful qualitative and quantitative principles ranging from very simple to cutting edge research - Addresses current challenges with software engineering data such as lack of local data, access issues due to data privacy, increasing data quality via cleaning of spurious chunks in data
