Best Practice Software Engineering
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Communication Risks And Best Practices In Global Software Development
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Author : Ajmal Iqbal
language : en
Publisher: Ajmal Iqbal
Release Date : 2012-07
Communication Risks And Best Practices In Global Software Development written by Ajmal Iqbal and has been published by Ajmal Iqbal this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07 with Computers categories.
This book focusses on the identification of communication risks, their causes and effects and the practices to mitigate the risks from both state of the art and state of the practice perspectives. It's like puzzle solving game. According to Casey "Communication is one the biggest issue that cause due to geographical, temporal and socio-cultural distances". At the end of the book authors provide set of recommendations based on the best practices that need to be followed by the globally distributed organizations to achieve communicated environment just like co-located settings.
Practicing Software Engineering In The 21st Century
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Author : Joan Peckham
language : en
Publisher: IGI Global
Release Date : 2003-01-01
Practicing Software Engineering In The 21st Century written by Joan Peckham and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-01 with Computers categories.
"This technological manual explores how software engineering principles can be used in tandem with software development tools to produce economical and reliable software that is faster and more accurate. Tools and techniques provided include the Unified Process for GIS application development, service-based approaches to business and information technology alignment, and an integrated model of application and software security. Current methods and future possibilities for software design are covered."
Surfacing Best Practices For Ai Software Development And Integration In Healthcare
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Author : Mark Sendak
language : en
Publisher: Frontiers Media SA
Release Date : 2023-06-08
Surfacing Best Practices For Ai Software Development And Integration In Healthcare written by Mark Sendak and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-08 with Medical categories.
New Perspectives In Software Engineering
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Author : Jezreel Mejia
language : en
Publisher: Springer Nature
Release Date : 2020-11-06
New Perspectives In Software Engineering written by Jezreel Mejia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-06 with Technology & Engineering categories.
This book contains a selection of papers from the 2020 International Conference on Software Process Improvement (CIMPS 20), held between the 21st and 23rd of October in Mazatlán, Sinaloa, México. The CIMPS 20 is a global forum for researchers and practitioners that present and discuss the most recent innovations, trends, results, experiences and concerns in the several perspectives of Software Engineering with clear relationship but not limited to software processes, Security in Information and Communication Technology and Big Data Field. The main topics covered are: Organizational Models, Standards and Methodologies, Software Process Improvement, Knowledge Management, Software Systems, Applications and Tools, Information and Communication Technologies and Processes in Non-software Domains (mining, automotive, aerospace, business, health care, manufacturing, etc.) with a demonstrated relationship to Software Engineering Challenges.
Machine Learning Infrastructure And Best Practices For Software Engineers
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Author : Miroslaw Staron
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-01-31
Machine Learning Infrastructure And Best Practices For Software Engineers written by Miroslaw Staron and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-31 with Computers categories.
Efficiently transform your initial designs into big systems by learning the foundations of infrastructure, algorithms, and ethical considerations for modern software products Key Features Learn how to scale-up your machine learning software to a professional level Secure the quality of your machine learning pipeline at runtime Apply your knowledge to natural languages, programming languages, and images Book DescriptionAlthough creating a machine learning pipeline or developing a working prototype of a software system from that pipeline is easy and straightforward nowadays, the journey toward a professional software system is still extensive. This book will help you get to grips with various best practices and recipes that will help software engineers transform prototype pipelines into complete software products. The book begins by introducing the main concepts of professional software systems that leverage machine learning at their core. As you progress, you’ll explore the differences between traditional, non-ML software, and machine learning software. The initial best practices will guide you in determining the type of software you need for your product. Subsequently, you will delve into algorithms, covering their selection, development, and testing before exploring the intricacies of the infrastructure for machine learning systems by defining best practices for identifying the right data source and ensuring its quality. Towards the end, you’ll address the most challenging aspect of large-scale machine learning systems – ethics. By exploring and defining best practices for assessing ethical risks and strategies for mitigation, you will conclude the book where it all began – large-scale machine learning software.What you will learn Identify what the machine learning software best suits your needs Work with scalable machine learning pipelines Scale up pipelines from prototypes to fully fledged software Choose suitable data sources and processing methods for your product Differentiate raw data from complex processing, noting their advantages Track and mitigate important ethical risks in machine learning software Work with testing and validation for machine learning systems Who this book is for If you’re a machine learning engineer, this book will help you design more robust software, and understand which scaling-up challenges you need to address and why. Software engineers will benefit from best practices that will make your products robust, reliable, and innovative. Decision makers will also find lots of useful information in this book, including guidance on what to look for in a well-designed machine learning software product.
Software Engineering Effective Teaching And Learning Approaches And Practices
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Author : Ellis, Heidi J.C.
language : en
Publisher: IGI Global
Release Date : 2008-10-31
Software Engineering Effective Teaching And Learning Approaches And Practices written by Ellis, Heidi J.C. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-31 with Computers categories.
Over the past decade, software engineering has developed into a highly respected field. Though computing and software engineering education continues to emerge as a prominent interest area of study, few books specifically focus on software engineering education itself. Software Engineering: Effective Teaching and Learning Approaches and Practices presents the latest developments in software engineering education, drawing contributions from over 20 software engineering educators from around the globe. Encompassing areas such as student assessment and learning, innovative teaching methods, and educational technology, this much-needed book greatly enhances libraries with its unique research content.
Software Engineering Best Practices
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Author : Capers Jones
language : en
Publisher: McGraw Hill Professional
Release Date : 2009-11-05
Software Engineering Best Practices written by Capers Jones and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-05 with Computers categories.
Proven techniques for software engineering success This in-depth volume examines software engineering topics that are not covered elsewhere: the question of why software engineering has developed more than 2,500 programming languages; problems with traditional definitions of software quality; and problems with common metrics, "lines of code," and "cost per defect" that violate standard economic assumptions. The book notes that a majority of "new" projects are actually replacements for legacy applications, illustrating that data mining for lost requirements should be a standard practice. Difficult social engineering issues are also covered, such as how to minimize harm from layoffs and downsizing. Software Engineering Best Practices explains how to effectively plan, size, schedule, and manage software projects of all types, using solid engineering procedures. It details proven methods, from initial requirements through 20 years of maintenance. Portions of the book have been extensively reviewed by key engineers from top companies, including IBM, Microsoft, Unisys, and Sony. Manage Agile, hierarchical, matrix, and virtual software development teams Optimize software quality using JAD, OFD, TSP, static analysis, inspections, and other methods with proven success records Use high-speed functional metrics to assess productivity and quality levels Plan optimal organization, from small teams through more than 1,000 personnel
Strategic Software Engineering
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Author : Fadi P. Deek
language : en
Publisher: CRC Press
Release Date : 2005-05-26
Strategic Software Engineering written by Fadi P. Deek and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-26 with Computers categories.
The pervasiveness of software in business makes it crucial that software engineers and developers understand how software development impacts an entire organization. Strategic Software Engineering: An Interdisciplinary Approach presents software engineering as a strategic, business-oriented, interdisciplinary endeavor, rather than simply a technica
Data Engineering Best Practices
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Author : Richard J. Schiller
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-10-11
Data Engineering Best Practices written by Richard J. Schiller and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-11 with Computers categories.
Explore modern data engineering techniques and best practices to build scalable, efficient, and future-proof data processing systems across cloud platforms Key Features Architect and engineer optimized data solutions in the cloud with best practices for performance and cost-effectiveness Explore design patterns and use cases to balance roles, technology choices, and processes for a future-proof design Learn from experts to avoid common pitfalls in data engineering projects Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionRevolutionize your approach to data processing in the fast-paced business landscape with this essential guide to data engineering. Discover the power of scalable, efficient, and secure data solutions through expert guidance on data engineering principles and techniques. Written by two industry experts with over 60 years of combined experience, it offers deep insights into best practices, architecture, agile processes, and cloud-based pipelines. You’ll start by defining the challenges data engineers face and understand how this agile and future-proof comprehensive data solution architecture addresses them. As you explore the extensive toolkit, mastering the capabilities of various instruments, you’ll gain the knowledge needed for independent research. Covering everything you need, right from data engineering fundamentals, the guide uses real-world examples to illustrate potential solutions. It elevates your skills to architect scalable data systems, implement agile development processes, and design cloud-based data pipelines. The book further equips you with the knowledge to harness serverless computing and microservices to build resilient data applications. By the end, you'll be armed with the expertise to design and deliver high-performance data engineering solutions that are not only robust, efficient, and secure but also future-ready.What you will learn Architect scalable data solutions within a well-architected framework Implement agile software development processes tailored to your organization's needs Design cloud-based data pipelines for analytics, machine learning, and AI-ready data products Optimize data engineering capabilities to ensure performance and long-term business value Apply best practices for data security, privacy, and compliance Harness serverless computing and microservices to build resilient, scalable, and trustworthy data pipelines Who this book is for If you are a data engineer, ETL developer, or big data engineer who wants to master the principles and techniques of data engineering, this book is for you. A basic understanding of data engineering concepts, ETL processes, and big data technologies is expected. This book is also for professionals who want to explore advanced data engineering practices, including scalable data solutions, agile software development, and cloud-based data processing pipelines.
Performance Engineering Best Practices
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Author : Nolan V. Jones
language : en
Publisher: BPB Publications
Release Date : 2025-01-22
Performance Engineering Best Practices written by Nolan V. Jones and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Computers categories.
DESCRIPTION Elevate your application's performance with "Performance Engineering Best Practices." This comprehensive guide provides the knowledge and techniques to optimize your software's speed, scalability, and reliability. Learn the skills of performance engineering, refine your craft, identify and eliminate performance bottlenecks, and ensure your applications deliver exceptional user experiences. This book explores Performance Engineering, covering foundational concepts, advanced techniques, and emerging trends. It defines performance engineering versus performance testing, highlights its role in organizational success, and stresses integrating performance throughout development. Key topics include service level objectives (SLOs), cloud performance challenges, and balancing capacity with costs. The book details optimization techniques for cloud platforms, Java, databases, and architectural styles while addressing observability with logging, error handling, and alert strategies. It concludes with insights into AI/ML integration and the impact of evolving technologies. After reading the book, the reader will gain a holistic understanding of performance and what to do with the design process, implementation, and testing stages of the development lifecycle to ensure fast IT platforms. KEY FEATURES ● Learn to build high performance IT platforms, enhance runtime environments, and use Kubernetes effectively. ● Discover methods to accelerate cloud platform delivery while ensuring quality with automated performance checks. ● Understand efficient design patterns and coding practices to maintain fast-running distributed platforms without extensive code refactoring. WHAT YOU WILL LEARN ● Understand the basics of performance engineering and how it differs from Performance Testing. ● Learn to apply performance principles throughout the software development lifecycle (SDLC). ● Explore cloud-specific challenges, like scaling, regional latency, and managing costs. ● Master techniques for optimizing JVM, writing efficient Java code, and database performance. ● Discover tools for performance automation, observability, alerting, and creating scalable architectures. WHO THIS BOOK IS FOR This book is for site reliability engineers, architects, developers, managers, and performance engineers. It showcases a holistic understanding of processes related to performance engineering for building fast IT platforms. TABLE OF CONTENTS 1. Introduction to Performance Engineering 2. Building a Performance Practice 3. Challenges and Realities of Cloud Performance 4. Cloud Environment and Scalability 5. Performance Automation 6. Cloud Web Platform Optimization 7. Java Virtual Machine Optimization 8. Java Code Optimization 9. Database Optimization 10. High Performance Architectures 11. Error Handling and Logging 12. Cloud Observability and Cloud Profiling 13. Alerting Strategies 14. Future Trends in Performance Engineering