Products related to Software:
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Practical Core Software Security : A Reference Framework
As long as humans write software, the key to successful software security is making the software development program process more efficient and effective.Although the approach of this textbook includes people, process, and technology approaches to software security, Practical Core Software Security: A Reference Framework stresses the people element of software security, which is still the most important part to manage as software is developed, controlled, and exploited by humans. The text outlines a step-by-step process for software security that is relevant to today’s technical, operational, business, and development environments.It focuses on what humans can do to control and manage a secure software development process using best practices and metrics.Although security issues will always exist, students learn how to maximize an organization’s ability to minimize vulnerabilities in software products before they are released or deployed by building security into the development process.The authors have worked with Fortune 500 companies and have often seen examples of the breakdown of security development lifecycle (SDL) practices.The text takes an experience-based approach to apply components of the best available SDL models in dealing with the problems described above.Software security best practices, an SDL model, and framework are presented in this book.Starting with an overview of the SDL, the text outlines a model for mapping SDL best practices to the software development life cycle (SDLC).It explains how to use this model to build and manage a mature SDL program.Exercises and an in-depth case study aid students in mastering the SDL model.Professionals skilled in secure software development and related tasks are in tremendous demand today.The industry continues to experience exponential demand that should continue to grow for the foreseeable future.This book can benefit professionals as much as students.As they integrate the book’s ideas into their software security practices, their value increases to their organizations, management teams, community, and industry.
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Computer Corpora and Open Source Software for Language Learning : Emerging Research and Opportunities
During the last four decades, a corpus-based approach to language teaching has become very significant.Direct use of corpora in language pedagogy is limited by certain factors: time, the lecturer's knowledge and skills needed to analyze the corpus, access to sources such as computers and appropriate computer tools, or a combination of these factors.The key to a successful corpus-based approach is in the appropriate level of the lecturer's guidance or pedagogical mediation, which depends on student age, experience, and prior knowledge.It is therefore very important that lecturers be equipped with the necessary knowledge and education for using and analyzing corpora on a daily basis.Computer Corpora and Open Source Software for Language Learning: Emerging Research and Opportunities is a cutting-edge research publication that analyzes teacher experiences in implementing computer corpora into their language learning classrooms in order to formulate additional insights as to best strategies for integrating such tools that maximizes language learning efficiency in primary and secondary education.Highlighting topics such as ICT tools, language education, and linguistics, this book is ideal for academicians, educators, computer science teachers, IT professionals, researchers, and students.
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Food Information, Communication and Education : Eating Knowledge
Food Information, Communication and Education analyses the role of different media in producing and transforming knowledge about food. ‘Eating knowledge’, or knowledge about food and food practice, is a central theme of cooking classes, the daily press, school textbooks, social media, popular magazines and other media.In addition, a wide variety of actors have taken on the responsibility of informing and educating the public about food, including food producers, advertising agencies, celebrity chefs, teachers, food bloggers and government institutions. Featuring a range of European case studies, this interdisciplinary collection advances our understanding of the processes of mediatization, circulation and reception of knowledge relating to food within specific social environments.Topics covered include: popularized knowledge about food carried over from past to present; the construction of trustworthy knowledge in today’s food risk society; critical assessment of nutrition education initiatives for children; and political and ideological implications of food information policy and practice.
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Software Test Automation : Software Test Automation
This book describes how to build and implement an automated testing regime for software development.It presents a detailed account of the principles of automated testing, practical techniques for designing a good automated testing regime, and advice on choosing and applying off-the-shelf testing tools to specific needs.This sound and practical introduction to automated testing comes from two authors well known for their seminars, consultancy and training in the field.
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Is learning programming and software development very challenging?
Learning programming and software development can be challenging for some people, as it requires logical thinking, problem-solving skills, and attention to detail. However, with dedication, practice, and the right resources, it is definitely achievable. Breaking down complex concepts into smaller, more manageable parts and seeking help from online tutorials, courses, and communities can make the learning process easier and more enjoyable. Ultimately, the level of challenge will vary depending on the individual's background, experience, and learning style.
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What type of software is used, standard software or custom software?
The type of software used can vary depending on the specific needs of the organization or individual. Standard software refers to off-the-shelf software that is widely available and used by many different users. This type of software is often more cost-effective and can be easily implemented. On the other hand, custom software is specifically designed and developed to meet the unique requirements of a particular organization or individual. While custom software can be more expensive and time-consuming to develop, it offers the advantage of being tailored to specific needs and can provide a competitive edge. Ultimately, the choice between standard and custom software depends on the specific needs, budget, and long-term goals of the user.
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What type of software is being used, standard software or custom software?
Custom software is being used in this case. This can be inferred from the fact that the software is specifically designed to meet the unique needs and requirements of the organization. Standard software, on the other hand, is off-the-shelf software that is not tailored to a specific organization's needs.
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What do software developers think of the following learning path?
Software developers generally have a positive view of the learning path as it provides a structured approach to gaining knowledge and skills in the field. They appreciate the focus on foundational concepts, followed by more advanced topics, which helps in building a strong understanding of software development. The emphasis on practical projects and hands-on experience is also well-received, as it allows developers to apply their learning in real-world scenarios. Overall, software developers see the learning path as a valuable resource for both beginners looking to enter the field and experienced professionals seeking to expand their expertise.
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Empirical Research in Software Engineering : Concepts, Analysis, and Applications
Empirical research has now become an essential component of software engineering yet software practitioners and researchers often lack an understanding of how the empirical procedures and practices are applied in the field.Empirical Research in Software Engineering: Concepts, Analysis, and Applications shows how to implement empirical research processes, procedures, and practices in software engineering. Written by a leading researcher in empirical software engineering, the book describes the necessary steps to perform replicated and empirical research.It explains how to plan and design experiments, conduct systematic reviews and case studies, and analyze the results produced by the empirical studies.The book balances empirical research concepts with exercises, examples, and real-life case studies, making it suitable for a course on empirical software engineering.The author discusses the process of developing predictive models, such as defect prediction and change prediction, on data collected from source code repositories.She also covers the application of machine learning techniques in empirical software engineering, includes guidelines for publishing and reporting results, and presents popular software tools for carrying out empirical studies.
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Using Software in Qualitative Research : A Step-by-Step Guide
Using Software in Qualitative Research is an essential introduction to the practice and principles of Computer Assisted Qualitative Data Analysis (CAQDAS).The book will help you to choose the most appropriate package for your needs and get the most out of the software once you are using it. This book considers a wide range of tasks and processes in the data management and analysis process, and shows how software can help you at each stage.In the new edition, the authors present three case studies with different forms of data (text, video and mixed data) and show how each step in the analysis process for each project could be supported by software. The new edition is accompanied by an extensive companion website with step-by-step instructions produced by the software developers themselves.Software programmes covered in second edition include the latest versions of: ATLAS.ti DEDOOSE HyperRESEARCH MAXQDA NVivo QDA Miner TRANSANA Ann Lewins and Christina Silver are leading experts in the field of CAQDAS and have trained thousands of students and researchers in using software.Reading this book is like having Ann and Christina at your shoulder as you analyse your data!
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Research Software Engineering : A Guide to the Open Source Ecosystem
Research Software Engineering: A Guide to the Open Source Ecosystem strives to give a big-picture overview and an understanding of the opportunities of programming as an approach to analytics and statistics.The book argues that a solid "programming" skill level is not only well within reach for many but also worth pursuing for researchers and business analysts.The ability to write a program leverages field-specific expertise and fosters interdisciplinary collaboration as source code continues to become an important communication channel.Given the pace of the development in data science, many senior researchers and mentors, alongside non-computer science curricula lack a basic software engineering component.This book fills the gap by providing a dedicated programming-with-data resource to both academic scholars and practitioners. Key Featuresoverview: breakdown of complex data science software stacks into core componentsapplied: source code of figures, tables and examples available and reproducible solely with license cost-free, open source softwarereader guidance: different entry points and rich references to deepen the understanding of selected aspects
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Growing Software
As the technology leader at a small software company, you need to focus on people, products, processes, and technology as you bring your software to market, while doing your best to put out fires and minimize headaches.Growing Software is your guide to juggling the day-to-day challenges of running a software company while managing those long-term problems and making sure that your business continues to grow.With practical, hands-on advice, Growing Software will teach you how to build and lead an effective team, define and sell your products, work with everyone from customers to CEOs, and ensure high-quality results.Instead of learning by trial and error, you'll benefit from author Louis Testa's 20+ years of management experience.Testa combines big-picture advice, specific solutions, and real-life anecdotes to teach you how to: Work effectively with your CEO and executive team Improve development team efficiency and enthusiasm Evaluate your software methodology to improve effectiveness and safeguard against failure Use product prototypes to bridge the gap between marketing and engineering Defuse technology time bombs Whether you're new to managing software or newly lost, Growing Software will help you and your growing company thrive.
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What does basic knowledge in handling hardware and common software mean?
Basic knowledge in handling hardware and common software refers to having a foundational understanding of how to operate and troubleshoot physical computer components such as the monitor, keyboard, mouse, and printer. It also involves knowing how to navigate and use commonly used software programs like Microsoft Office, web browsers, and email clients. This knowledge is essential for performing basic tasks on a computer, such as creating documents, sending emails, and accessing the internet.
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What further education opportunities are available for aspiring software developers?
Aspiring software developers have a variety of further education opportunities available to them. They can pursue a bachelor's or master's degree in computer science or a related field to deepen their knowledge and skills. Additionally, they can enroll in coding bootcamps or online courses to gain practical experience and learn specific programming languages. Professional certifications, workshops, and seminars are also valuable options for software developers looking to stay current with industry trends and technologies.
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Which education is suitable for IT security or software development?
For a career in IT security or software development, a formal education in computer science, information technology, or a related field is typically recommended. A bachelor's degree in computer science can provide a strong foundation in programming, algorithms, and computer systems, which are essential skills for both IT security and software development roles. Additionally, pursuing certifications in cybersecurity or software development can also help enhance your skills and credibility in the field. Ultimately, the most suitable education will depend on your specific career goals and interests within the IT industry.
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Do you need knowledge in software development to become a AI developer?
Yes, having knowledge in software development is important for becoming an AI developer. AI development often involves programming and working with various software tools and frameworks to build and deploy AI models. Understanding programming languages, data structures, algorithms, and software development best practices is essential for creating effective AI solutions. Additionally, having a strong foundation in software development can help AI developers to optimize and troubleshoot their AI applications.
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