This textbook was written from the perspective of someone who began his software security career in 2005, long before the industry began focusing on it. This is an excellent perspective for students who want to learn about securing application development. After having made all the rookie mistakes, the author realized that software security is a human factors issue rather than a technical or process issue alone. Throwing technology into an environment that expects people to deal with it but failing to prepare them technically and psychologically with the knowledge and skills needed is a certain recipe for bad results. Practical Security for Agile and DevOps is a collection of best practices and effective implementation recommendations that are proven to work. The text leaves the boring details of software security theory out of the discussion as much as possible to concentrate on practical applied software security that is useful to professionals. It is as much a book for students' own benefit as it is for the benefit of their academic careers and organizations. Professionals who are skilled in secure and resilient software development and related tasks are in tremendous demand. This demand will increase exponentially for the foreseeable future. As students integrate the text's best practices into their daily duties, their value increases to their companies, management, community, and industry. The textbook was written for the following readers: Students in higher education programs in business or engineering disciplines AppSec architects and program managers in information security organizations Enterprise architecture teams with a focus on application development Scrum Teams including: Scrum Masters Engineers/developers Analysts Architects Testers DevOps teams Product owners and their management Project managers Application security auditors Agile coaches and trainers Instructors and trainers in academia and private organizations

The Certified Function Point Specialist Examination Guide provides a complete and authoritative review of the rules and guidelines prescribed in the release of version 4.3 of the Function Point Counting Practices Manual (CPM). Providing a fundamental understanding of the IFPUG Functional Size Measurement method, this is the ideal study guide for the CFPS examination. The text:

• Includes time-tested tips on how to best prepare for the exam
• Provides a series of questions and answers at the end of each chapter with specific references to the latest version of the CPM
• Contains two CFPS practice exams to measure understanding and identify areas where more study is needed

Active members of the Counting Practices Committee and a past president of the IFPUG supply time-tested insight on how to use the CPM manual effectively and efficiently during the exam. The two sample exams and detailed examples throughout the text help to ensure readers develop the comprehension required to attain certification the first time around. Following certification, this book is a valuable reference for applying the IFPUG method for sizing proficient software design, development, and deployment.

Praise for the book:

While there are a number of solid books on counting function points, this new book fills a gap in the function point literature by providing useful information on the specifics of becoming a certified function point counter. The authors are all qualified for the work at hand, and indeed have contributed to the function point counting methodology.
Capers Jones, President, Capers Jones & Associates LLC

Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and KerasTuner. Automated Machine Learning in Action, filled with hands-onexamples and written in an accessible style, reveals how premade machine learning components can automate time-consuming ML tasks. Automated Machine Learning in Action teaches you to automate selecting the best machine learning models or data preparation methods for your own machine learning tasks, so your pipelines tune themselves without needing constant input. You'll quickly run through machine learning basics thatopen upon AutoML to non-data scientists, before putting AutoML into practicefor image classification, supervised learning, and more. Automated machine learning (AutoML) automates complex andtime-consuming stages in a machine learning pipeline with pre packaged optimal solutions. This frees up data scientists from data processing and manualtuning, and lets domain experts easily apply machine learning models to their projects.

This is a how-to book for solving geometric problems robustly or error free in actual practice. The contents and accompanying source code are based on the feature requests and feedback received from industry professionals and academics who want both the descriptions and source code for implementations of geometric algorithms. The book provides a framework for geometric computing using several arithmetic systems and describes how to select the appropriate system for the problem at hand. Key Features: A framework of arithmetic systems that can be applied to many geometric algorithms to obtain robust or error-free implementations Detailed derivations for algorithms that lead to implementable code Teaching the readers how to use the book concepts in deriving algorithms in their fields of application The Geometric Tools Library, a repository of well-tested code at the Geometric Tools website, https://www.geometrictools.com, that implements the book concepts

This is a book about the development of dependable, embedded software. It is for systems designers, implementers, and verifiers who are experienced in general embedded software development, but who are now facing the prospect of delivering a software-based system for a safety-critical application. It is aimed at those creating a product that must satisfy one or more of the international standards relating to safety-critical applications, including IEC 61508, ISO 26262, EN 50128, EN 50657, IEC 62304, or related standards. Of the first edition, Stephen Thomas, PE, Founder and Editor of FunctionalSafetyEngineer.com said, "I highly recommend Mr. Hobbs' book."

We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale. Dehghani guides practitioners, architects, technical leaders, and decision makers on their journey from traditional big data architecture to a distributed and multidimensional approach to analytical data management. Data mesh treats data as a product, considers domains as a primary concern, applies platform thinking to create self-serve data infrastructure, and introduces a federated computational model of data governance. Get a complete introduction to data mesh principles and its constituents Design a data mesh architecture Guide a data mesh strategy and execution Navigate organizational design to a decentralized data ownership model Move beyond traditional data warehouses and lakes to a distributed data mesh

Conquer the world of Android app development Android has taken over the mobile and TV markets and become unstoppable! Android offers a vast stage for developers to serve millions--and rake in the profits--with diverse and wide-ranging app ideas. Whether you're a raw recruit or a veteran programmer, you can get in on the action and become a master of the Android programming universe with the new edition of Android Application Development For Dummies All-in-One. In addition to receiving guidance on mobile and TV development, you'll find overviews of native code, watch, car, Android wear, and other device development. This friendly, easy-to-follow book kicks off by offering a fundamental understanding of Android's major technical ideas, including functional programming techniques. It moves on to show you how to work effectively in Studio, program cool new features, and test your app to make sure it's ready to release to a waiting world. You'll also have an opportunity to brush up on your Kotlin and develop your marketing savvy. There are millions of potential customers out there, and you want to stand out from the crowd! Understand new features and enhancements Get development best-practices Know your Android hardware Access online materials With a market share like Android's, the stakes couldn't be higher. Android Application Development For Dummies All-in-One levels the field and gives you the tools you need to take on the world.

In this popular text for an Numerical Analysis course, the authors introduce several major methods of solving various partial differential equations (PDEs) including elliptic, parabolic, and hyperbolic equations. It covers traditional techniques including the classic finite difference method, finite element method, and state-of-the-art numercial methods.The text uniquely emphasizes both theoretical numerical analysis and practical implementation of the algorithms in MATLAB. This new edition includes a new chapter, Finite Value Method, the presentation has been tightened, new exercises and applications are included, and the text refers now to the latest release of MATLAB. Key Selling Points: A successful textbook for an undergraduate text on numerical analysis or methods taught in mathematics and computer engineering. This course is taught in every university throughout the world with an engineering department or school. Competitive advantage broader numerical methods (including finite difference, finite element, meshless method, and finite volume method), provides the MATLAB source code for most popular PDEs with detailed explanation about the implementation and theoretical analysis. No other existing textbook in the market offers a good combination of theoretical depth and practical source codes.

Networking and Kubernetes is an essential guide for anyone who wants to deploy, manage, or troubleshoot a production scale Kubernetes network. Understanding Kubernetes clusters is not enough to operate Kubernetes at scale. Every layer of the stack--the network, operating system, and Kubernetes--depends on the layer below. Successful administrators need to understand each layer and how it works across deployments on-prim, in the cloud, and with managed services. Networking and Kubernetes clearly guides administrators through the layers of complexity and abstraction that come with running a Kubernetes network. It covers: The Kubernetes networking model The CNCF Container Network Interface Project and how to choose the best interface for your clusters The networking and Linux primitives that power Kubernetes How to quickly troubleshoot networking issues and prevent downtime Cloud networking and Kubernetes with the three major providers: AWS, GCP, and Azure The pros and cons of various network tools--and how to select the best ones for your stack

To achieve consistent software project success under the pressures of today's software development environment, software organizations require achievable plans including viable estimates of schedule, resources, and risks. To estimate realistically, you must understand how to apply sound estimation processes, tools, and data. Software Sizing, Estimation, and Risk Management: When Performance is Measured Performance Improves is a practical, hands-on discussion of the software estimation, planning, and control process. This includes critical factors that impact estimates, methods for selecting and applying appropriate measures to projects, proper software sizing, and processes to identify and manage risk. The authors use their expertise in sizing, estimation, process engineering, and risk management to clearly demonstrate problems that make many estimates crumble and solutions that provide successful project plans. The book offers insight not available anywhere else, enabling you to recognize and avoid downstream impacts resulting from poor estimates.

Take the pain out of managing serverless applications. Knative, a collection of Kubernetes extensions curated by Google, simplifies building and running serverless systems. Knative in Action guides you through the Knative toolkit, showing you how to launch, modify, and monitor event-based apps built using cloud-hosted functions like AWS Lambda. You'll learn how to use Knative Serving to develop software that is easily deployed and autoscaled, how to use Knative Eventing to wire together disparate systems into a consistent whole, and how to integrate Knative into your shipping pipeline. about the technologyWith Knative, managing a serverless application's full lifecycle is a snap. Knative builds on Kubernetes orchestration features, making it easy to deploy and run serverless apps. It handles low-level chores-such as starting and stopping instances-so you can concentrate on features and behavior. about the book Knative in Action teaches you to build complex and efficient serverless applications. You'll dive into Knative's unique design principles and grasp cloud native concepts like handling latency-sensitive workloads. You'll deliver updates with Knative Serving and interlink apps, services, and systems with Knative Eventing. To keep you moving forward, every example includes deployment advice and tips for debugging. what's inside Deploy a service with Knative Serving Connect systems with Knative Eventing Autoscale responses for different traffic surges Develop, ship, and operate software about the readerFor software developers comfortable with CLI tools and an OO language like Java or Go. about the author Jacques Chester has worked in Pivotal and VMWare R&D since 2014, contributing to Knative and other projects.

Validation of computer systems is the process that assures the formal assessment and report of quality and performance measures for all the life-cycle stages of software and system development, its implementation, qualification and acceptance, operation, modification, requalification, maintenance and retirement (PICS CSV PI 011-3). It is a process that demonstrates the compliance of computer systems functional and non-functional requirements, data integrity, regulated company procedures and safety requirements, industry standards, and applicable regulatory authority's requirements. Compliance is a state of being in adherence to application-related standards or conventions or regulations in laws and similar prescriptions. This book, which is relevant to the pharmaceutical and medical devices regulated operations, provides practical information to assist in the computer validation to production systems, while highlighting and efficiently integrating worldwide regulation into the subject. A practical approach is presented to increase efficiency and to ensure that the validation of computer systems is correctly achieved.

Features Contains ready-to-use coding recipes allowing fast prototyping and solving of mathematical problems using FEM. Suitable for upper-level undergraduates and graduates in applied mathematics, science, or engineering. Both MATLAB and Python programming codes are provided to give readers more flexibility in the practical framework implementation.

Unit Integration Testing (UIT) had been a challenge because there was no tool that could help in XHR programming and unit integration validations in an efficient way until Cypress arrived. Cypress started releasing versions in 2015 and became popular in 2018 with version 2.0.0. This book explores Cypress scripts that help implement 'shift left testing', which is a dream come true for many software testers. Shift left occurs in the majority of testing projects, but could not be implemented fully because tools were unavailable and knowledge was lacking about the possibilities of testing early in the life cycle. Shift left is a key testing strategy to help testing teams focus less on defect identifications and more on developing practices to prevent defects. Cypress scripts can help front-end developers and quality engineers to work together to find defects soon after web components are built. These components can be tested immediately after they are built with Cypress Test Driven Development (TDD) scripts. Thus, defects can be fixed straight away during the development stage. Testing teams do not have to worry about finding these same defects in a later development stage because Cypress tests keep verifying components in the later stages. Defect fixing has become much cheaper with Cypress than when other tools are used. The book also covers Behaviour Driven Development (BDD)-based Gherkin scripts and the Cypress Cucumber preprocessor, which can improve test scenario coverage. Automated Software Testing with Cypress is written to fulfil the BDD and TDD needs of testing teams. Two distinct open source repositories are provided in Github to help start running Cypress tests in no time!

The challenges of designing, building, and maintaining large-scale, distributed enterprise systems are truly daunting. Written for all IT professionals, The Complete Book of Middleware will aid in resolving new business objectives, new technologies, and vendor disputes. This book focuses on the essential principles and priorities of system design and emphasizes the new requirements brought forward by the rise of e-commerce and distributed integrated systems. This reference highlights the changes to middleware technologies and standards. It offers a concise overview of middleware technology alternatives and distributed systems. Many increasingly complex examples are incorporated throughout and the book concludes with guidelines on the practice of IT architecture. Performance considerations such as caching and monitoring are reviewed and the appendix includes middleware resources and new modeling standards. The scope includes traditional middleware and also next-generation techniques that serve to glue disparate systems in the ever-expanding world of distributed network systems. Provided with concepts, principles, and alternatives discussed in The Complete Book of Middleware, systems architects, systems analysts, systems designers, systems developers, and programmers, can proceed with greater confidence in designing complex enterprise systems.

Combining theory and practice, this updated new edition provides a complete overview of how to create deep and meaningful quests for games. It uses the Unity game engine in conjunction with Fungus and other free plugins to provide an accessible entry into quest design. The book begins with an introduction to the theory and history of quests in games, before covering four theoretical components of quests: their spaces, objects, actors, and challenges. Each chapter also includes a practical section, with accompanying exercises and suggestions for the use of specific technologies for four crucial aspects of quest design: * level design * quest item creation * NPC and dialogue construction * scripting This book will be of great interest to all game designers looking to create new, innovative quests in their games. It will also appeal to new media researchers, as well as humanities scholars in the fields of mythology and depth-psychology that want to bring computer-assisted instruction into their classroom in an innovative way. The companion website includes lecture and workshop slides, and can be accessed at: www.designingquests.com

Software engineering is playing an increasingly significant role in computing and informatics, necessitated by the complexities inherent in large-scale software development. To deal with these difficulties, the conventional life-cycle approaches to software engineering are now giving way to the "process system" approach, encompassing development methods, infrastructure, organization, and management. Until now, however, no book fully addressed process-based software engineering or set forth a fundamental theory and framework of software engineering processes.
Software Engineering Processes: Principles and Applications does just that. Within a unified framework, this book presents a comparative analysis of current process models and formally describes their algorithms. It systematically enables comparison between current models, avoidance of ambiguity in application, and simplification of manipulation for practitioners.
The authors address a broad range of topics within process-based software engineering and the fundamental theories and philosophies behind them. They develop a software engineering process reference model (SEPRM) to show how to solve the problems of different process domains, orientations, structures, taxonomies, and methods. They derive a set of process benchmarks-based on a series of international surveys-that support validation of the SEPRM model. Based on their SEPRM model and the unified process theory, they demonstrate that current process models can be integrated and their assessment results can be transformed between each other.
Software development is no longer just a black art or laboratory activity. It is an industrialized process that requires the skills not just of programmers, but of organization and project managers and quality assurance specialists. Software Engineering Processes: Principles and Applications is the key to understanding, using, and improving upon effective engineering procedures for software development.

"A great book to introduce developers to the essential role that logging plays in software design and support." - Trent Whiteley Logging in Action teaches you how to make your log processing a real asset for your application, all with free and open source tools. You'll use the powerful log management tool Fluentd to solve common log problems, and learn how proper log management can improve performance and make management of software solutions easier. Through useful examples like sending log driven events to Slack, you'll get hands-on experience applying structure to your unstructured data. about the technology Fluentd is a powerful log management tool that seamlessly handles messy logging data, from operational errors, to application events, and security events. It decouples log data, such as SNMP or slow database queries, from backend systems and easily sends it where it needs to go-thanks to 500+ flexible plugins covering all major services. about the book Logging in Action is a guide to streamlining your log processing, turning logged data into a tool that will boost your application's performance. It's packed with tips and tricks on how proper log management can improve your application's security, speed, and cost-effectiveness. You'll master the basics of the Fluentd management tool, then take a peek behind the scenes at how different configurations will impact and improve the way your systems function. By the time you're done, you'll be able to reliably configure Fluentd so that it can easily scale to handle even the largest data loads. what's inside Deploy Fluentd and Fluent Bit into varied environments Configure Fluentd and Fluent Bit to solve common log problems Fluentd for microservices Connect a custom log source or destination with Fluentd's extensibility framework Create a custom plugin for niche problems Logging best practices and common pitfalls about the reader For developers and operations people familiar with application logging or infrastructure monitor logs. about the author Phil Wilkins has spent over 25 years in the software industry. He works as a Technology Evangelist for Capgemini, specializing in cloud integration, APIs, and related technologies. Phil is TOGAF certified, and recognized by Oracle as an Ace Director (independent technology advocate) for his contributions to the integration and PaaS community.

Why learn functional programming? Isn't that some complicated ivory-tower technique used only in obscure languages like Haskell? In fact, functional programming is actually very simple. It's also very powerful, as Haskell demonstrates by throwing away all the conventional programming tools and using only functional programming features. But it doesn't have to be done that way. Functional programming is a power tool that you can use in addition to all your usual tools, to whatever extent your current mainstream language supports it. Most languages have at least basic support. In this book we use Python and Java and, as a bonus, Scala. If you prefer another language, there will be minor differences in syntax, but the concepts are the same. Give functional programming a try. You may be surprised how much a single power tool can help you in your day-to-day programming.

The object oriented paradigm has become one of the dominant forces in the computing world. According to a recent survey, by the year 2000, more than 80% of development organizations are expected to use object technology as the basis for their distributed development strategies.
Handbook of Object Technology encompasses the entire spectrum of disciplines and topics related to this rapidly expanding field - outlining emerging technologies, latest advances, current trends, new specifications, and ongoing research.
The handbook divides into 13 sections, each containing chapters related to that specific discipline. Up-to-date, non-abstract information provides the reader with practical, useful knowledge - directly applicable to the understanding and improvement of the reader's job or the area of interest related to this technology.
Handbook of Object Technology discusses:
o the processes, notation, and tools for classical OO methodologies as well as information on future methodologies
o prevalent and emerging OO languages
o standards and specifications
o frameworks and patterns
o databases
o metrics
o business objects
o intranets
o analysis/design tools
o client/server application development environments

Dark Silicon and the Future of On-chip Systems, Volume 110, the latest release in the Advances in Computers series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design and applications, with this release focusing on an Introduction to dark silicon and future processors, a Revisiting of processor allocation and application mapping in future CMPs in the dark silicon era, Multi-objectivism in the dark silicon age, Dark silicon aware resource management for many-core systems, Dynamic power management for dark silicon multi-core processors, Topology specialization for networks-on-chip in the dark silicon era, and Emerging SRAM-based FPGA architectures.

The first edition of Exercises in Programming Style was honored as an ACM Notable Book and praised as "The best programming book of the decade." This new edition retains the same presentation but has been upgraded to Python 3, and there is a new section on neural network styles. Using a simple computational task (term frequency) to illustrate different programming styles, Exercises in Programming Style helps readers understand the various ways of writing programs and designing systems. It is designed to be used in conjunction with code provided on an online repository. The book complements and explains the raw code in a way that is accessible to anyone who regularly practices the art of programming. The book can also be used in advanced programming courses in computer science and software engineering programs. The book contains 40 different styles for writing the term frequency task. The styles are grouped into ten categories: historical, basic, function composition, objects and object interactions, reflection and metaprogramming, adversity, data-centric, concurrency, interactivity, and neural networks. The author states the constraints in each style and explains the example programs. Each chapter first presents the constraints of the style, next shows an example program, and then gives a detailed explanation of the code. Most chapters also have sections focusing on the use of the style in systems design as well as sections describing the historical context in which the programming style emerged.

This CISA study guide is for those interested in achieving CISA certification and provides complete coverage of ISACA's latest CISA Review Manual (2019) with practical examples and over 850 exam-oriented practice questions Key Features Gain tactical skills in auditing, control, and security to pass the CISA examination Get up to speed with auditing business IT systems Increase your value to organizations and be at the forefront of an evolving business landscape by achieving CISA certification Book DescriptionAre you looking to prepare for the CISA exam and understand the roles and responsibilities of an information systems (IS) auditor? The CISA - Certified Information Systems Auditor Study Guide is here to help you get started with CISA exam prep. This book covers all the five CISA domains in detail to help you pass the exam. You'll start by getting up and running with the practical aspects of an information systems audit. The book then shows you how to govern and manage IT, before getting you up to speed with acquiring information systems. As you progress, you'll gain knowledge of information systems operations and understand how to maintain business resilience, which will help you tackle various real-world business problems. Finally, you'll be able to assist your organization in effectively protecting and controlling information systems with IT audit standards. By the end of this CISA book, you'll not only have covered the essential concepts and techniques you need to know to pass the CISA certification exam but also have the ability to apply them in the real world. What you will learn Understand the information systems auditing process Get to grips with IT governance and management Gain knowledge of information systems acquisition Assist your organization in protecting and controlling information systems with IT audit standards Understand information systems operations and how to ensure business resilience Evaluate your organization's security policies, standards, and procedures to meet its objectives Who this book is forThis CISA exam study guide is designed for those with a non-technical background who are interested in achieving CISA certification and are currently employed or looking to gain employment in IT audit and security management positions.

Software startups make global headlines every day. As technology companies succeed and grow, so do their engineering departments. In your career, you'll may suddenly get the opportunity to lead teams: to become a manager. But this is often uncharted territory. How can you decide whether this career move is right for you? And if you do, what do you need to learn to succeed? Where do you start? How do you know that you're doing it right? What does "it" even mean? And isn't management a dirty word? This book will share the secrets you need to know to manage engineers successfully. Going from engineer to manager doesn't have to be intimidating. Engineers can be managers, and fantastic ones at that. Cast aside the rhetoric and focus on practical, hands-on techniques and tools. You'll become an effective and supportive team leader that your staff will look up to. Start with your transition to being a manager and see how that compares to being an engineer. Learn how to better organize information, feel productive, and delegate, but not micromanage. Discover how to manage your own boss, hire and fire, do performance and salary reviews, and build a great team. You'll also learn the psychology: how to ship while keeping staff happy, coach and mentor, deal with deadline pressure, handle sensitive information, and navigate workplace politics. Consider your whole department. How can you work with other teams to ensure best practice? How do you help form guilds and committees and communicate effectively? How can you create career tracks for individual contributors and managers? How can you support flexible and remote working? How can you improve diversity in the industry through your own actions? This book will show you how. Great managers can make the world a better place. Join us.

Python for Scientific Computation and Artificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2, the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally, in Section 3, the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI). This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling. Features: No prior experience of programming is required. Online GitHub repository available with codes for readers to practice. Covers applications and examples from biology, chemistry, computer science, data science, electrical and mechanical engineering, economics, mathematics, physics, statistics and binary oscillator computing. Full solutions to exercises are available as Jupyter notebooks on the Web.