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Identifying Relevant Information For Testing Technique Selection


Identifying Relevant Information For Testing Technique Selection
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Identifying Relevant Information For Testing Technique Selection


Identifying Relevant Information For Testing Technique Selection
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Author : Sira Vegas
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Identifying Relevant Information For Testing Technique Selection written by Sira Vegas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


Engineering tasks are supposed to achieve defined goals under certain project constraints. Example goals of software engineering tasks include achieving a certain functionality together with some level of reliability or performance. Example constraints of software engineering tasks include budget and time limitations or experience limitations of the developers at hand. Planning of an engineering project requires the selection of techniques, methods and tools suited to achieve stated goals under given project constraints. This assumes sufficient knowledge regarding the process-product relationships (or effects) of candidate techniques, methods and tools. Planning of software projects suffers greatly from lack of knowledge regarding the process-product relationships of candidate techniques, methods and tools. Especially in the area of testing a project planner is confronted with an abundance of testing techniques, but very little knowledge regarding their effects under varying project conditions. This book offers a novel approach to addressing this problem: First, based on a comprehensive initial characterization scheme (see chapter 7) an overview of existing testing techniques and their effects under varying conditions is provided to guide the selection of testing approaches. Second, the optimisation of this knowledge base is suggested based on experience from experts, real projects and scientific experiments (chapters 8, 9, and 10). This book is of equal interest to practitioners, researchers and students. Practitioners interested in identifying ways to organize their company-specific knowledge about testing could start with the schema provided in this book, and optimise it further by applying similar strategies as offered in chapters 8 and 9.



Software Process Modeling


Software Process Modeling
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Author : Silvia T. Acuna
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-01-27

Software Process Modeling written by Silvia T. Acuna and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-27 with Computers categories.


Software Process Modeling brings together experts to discuss relevant results in software process modeling, and expresses their personal view of this field. This book focuses on new aspects of software process modeling. Specifically, it deals with socio-technological aspects, process modeling for new development types (open source software, dependability applications, etc.) and organization change management. The computer audience is placing growing demands on the software industry today. Consumers are looking for more complex products that are, at the same time, easier to use. Software developer organizations are expected to produce higher quality products and deliver them to the public faster. In so doing, however, globally distributed development teams have to cope with understaffing and changing technologies. The challenges for the software industry are apparently mounting. Over the years, a variety of software process models have been designed to structure, describe and prescribe the software systems construction process. Most recently, software process modeling is increasingly dealing with new challenges raised by the tests that the software industry has to stand. Software Process Modeling is designed for a professional audience of researchers and practitioners in industry. The book is also suitable for graduate-level students in computer science.



Process Improvement In Practice


Process Improvement In Practice
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Author : Tore Dybå
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-02

Process Improvement In Practice written by Tore Dybå and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-02 with Computers categories.


Faster, better and cheaper are challenges that IT-companies face every day. The customer's expectations shall be met in a world where constant change in environment, organization and technology are the rule rather that the exception. A solution for meeting these challenges is to share knowledge and experience - use the company's own experience, and the experience of other companies. Process Improvement in Practice - A Handbook for IT Companies tackles the problems involved in launching these solutions. Process Improvement in Practice - A Handbook for IT Companies is designed for small IT companies who wish to start with systematic improvement. The methods and techniques in this handbook are tried in practice, and have proven to be easy to use and scalable for local needs. Managers and developers will discover useful tips to initiate improvement work efficiently. This practical handbook is based on the authors' improvement work in a range of companies since the mid-nineties. Process Improvement in Practice - A Handbook for IT Companies is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable for graduate-level students in software process improvement and software engineering.



Big Data Analytics Techniques For Market Intelligence


Big Data Analytics Techniques For Market Intelligence
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2024-01-04

Big Data Analytics Techniques For Market Intelligence written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-04 with Computers categories.


The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.



Managing Software Engineering Knowledge


Managing Software Engineering Knowledge
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Author : Aybüke Aurum
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17

Managing Software Engineering Knowledge written by Aybüke Aurum and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Computers categories.


Software development is a complex problem-solving activity with a high level of uncertainty. There are many technical challenges concerning scheduling, cost estimation, reliability, performance, etc, which are further aggravated by weaknesses such as changing requirements, team dynamics, and high staff turnover. Thus the management of knowledge and experience is a key means of systematic software development and process improvement. "Managing Software Engineering Knowledge" illustrates several theoretical examples of this vision and solutions applied to industrial practice. It is structured in four parts addressing the motives for knowledge management, the concepts and models used in knowledge management for software engineering, their application to software engineering, and practical guidelines for managing software engineering knowledge. This book provides a comprehensive overview of the state of the art and best practice in knowledge management applied to software engineering. While researchers and graduate students will benefit from the interdisciplinary approach leading to basic frameworks and methodologies, professional software developers and project managers will also profit from industrial experience reports and practical guidelines.



Analytic Methods In Systems And Software Testing


Analytic Methods In Systems And Software Testing
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Author : Ron S. Kenett
language : en
Publisher: John Wiley & Sons
Release Date : 2018-07-06

Analytic Methods In Systems And Software Testing written by Ron S. Kenett and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-06 with Mathematics categories.


A comprehensive treatment of systems and software testing using state of the art methods and tools This book provides valuable insights into state of the art software testing methods and explains, with examples, the statistical and analytic methods used in this field. Numerous examples are used to provide understanding in applying these methods to real-world problems. Leading authorities in applied statistics, computer science, and software engineering present state-of-the-art methods addressing challenges faced by practitioners and researchers involved in system and software testing. Methods include: machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability modeling. Analytic Methods in Systems and Software Testing presents its comprehensive collection of methods in four parts: Part I: Testing Concepts and Methods; Part II: Statistical Models; Part III: Testing Infrastructures; and Part IV: Testing Applications. It seeks to maintain a focus on analytic methods, while at the same time offering a contextual landscape of modern engineering, in order to introduce related statistical and probabilistic models used in this domain. This makes the book an incredibly useful tool, offering interesting insights on challenges in the field for researchers and practitioners alike. Compiles cutting-edge methods and examples of analytical approaches to systems and software testing from leading authorities in applied statistics, computer science, and software engineering Combines methods and examples focused on the analytic aspects of systems and software testing Covers logistic regression, machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability models Written by leading researchers and practitioners in the field, from diverse backgrounds including research, business, government, and consulting Stimulates research at the theoretical and practical level Analytic Methods in Systems and Software Testing is an excellent advanced reference directed toward industrial and academic readers whose work in systems and software development approaches or surpasses existing frontiers of testing and validation procedures. It will also be valuable to post-graduate students in computer science and mathematics.



Guidebook For Selecting Methods To Monitor Airport And Aircraft Deicing Materials


Guidebook For Selecting Methods To Monitor Airport And Aircraft Deicing Materials
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Author : Mark Ervin
language : en
Publisher: Transportation Research Board
Release Date : 2012

Guidebook For Selecting Methods To Monitor Airport And Aircraft Deicing Materials written by Mark Ervin and has been published by Transportation Research Board this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Law categories.


This report provides a step-by-step process for identifying, evaluating, and selecting methods to monitor storm water that is subject to runoff containing deicing materials. The guidance addresses identifying the parameters to be monitored and discusses the appropriateness of various monitoring methods and instrument types to meet an airport's specific needs. The guidebook also provides recommendations for setup, operation, and maintenance of each monitoring method. The guidebook also includes helpful appendices that define relevant technical terms and provide sample outreach materials to help communicate the selection process to nontechnical stakeholders. Technical information on various on-site monitoring methods is provided in a series of fact sheets. These fact sheets, which are organized by the parameter being monitored, describe key factors such as how the method works, its current level of adoption within the industry, implementation considerations, cost, and advantages/disadvantages.



Intelligent Techniques For Predictive Data Analytics


Intelligent Techniques For Predictive Data Analytics
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Author : Neha Singh
language : en
Publisher: John Wiley & Sons
Release Date : 2024-06-21

Intelligent Techniques For Predictive Data Analytics written by Neha Singh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-21 with Computers categories.


Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.



Integrated Biotechnological Solutions For The Treatment Of Industrial Wastewater


Integrated Biotechnological Solutions For The Treatment Of Industrial Wastewater
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Author : Naveen Dwivedi
language : en
Publisher: Elsevier
Release Date : 2025-06-27

Integrated Biotechnological Solutions For The Treatment Of Industrial Wastewater written by Naveen Dwivedi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Technology & Engineering categories.


Integrated Biotechnological Solutions for the Treatment of Industrial Wastewater: For a Healthy and Sustainable Environment: Developments in Wastewater Treatment Research and Processes presents the latest studies on biotechnological concepts and their role in revolutionizing conventional treatment methods accompanied with eliminating or minimizing negative influence of hazardous contaminants (industrial) on human health and the environment. This book highlights the characteristics, aims, and applications of integrated biotechnology as an ultimate solution for sustainable management of the industrial wastewater, showcasing the importance of multi-disciplinary research, and the need to develop integrated bioengineering systems. Engineers and applied scientists, researchers, environmental biotechnologists, practitioners, and innovators involved in environmental research will find this book to be a welcomed resource. - Presents a broad and thematic framework on integrated biotechnological processes in industrial wastewater management for increasing sustainability and resilience - Highlights applications in high priority waste(s) and wastewater collection and management for supporting ecological sustainability - Introduces an integrated approach in industrial waste(s) valorization with zero discharge to reduce ecological footprint



Intervention Research


Intervention Research
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Author : Edwin J Thomas
language : en
Publisher: Routledge
Release Date : 2013-04-03

Intervention Research written by Edwin J Thomas and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-03 with Medical categories.


This interdisciplinary book presents a comprehensive conceptual and methodological treatment of intervention research, a developing area of empirical inquiry that aims to make research more directly relevant and applicable to practice. Intervention Research contains original chapters by the most highly regarded scholars in the field. These experts explain how to distinguish intervention research from other modalities, demonstrate a new model of research for the design and development of interventions, and provide guidelines for conducting intervention research in practice with individuals, families, and community organizations. Providing useful observations and a wealth of ideas, authors offer conceptual schemes, results from recent design and development studies, and strategies and methodologies to help professionals make their research more usable and meaningful. Chapters cover such important topics as the acquisition of relevant knowledge, meta-analysis in intervention research, methods and issues in designing and developing interventions, and field testing and evaluating innovative practice interventions. The book depicts intervention research through case illustrations and promotes the use of new technologies for developing innovative practice methods. Intervention Research focuses on Intervention Design and Development--the part of intervention research involving the creation of reliable, practical tools of social intervention in user-ready form. It sets forth systematic procedures for designing, testing, evaluating, and refining needed social technology and for disseminating proven techniques and programs to professionals in the community.Intervention Research has a base in social work, but is highly interdisciplinary. Authors contributing to this text come from a variety of fields, including psychology, sociology, education, information science, and communications. Professors and educators working in schools of public health, education, urban planning, nursing, and public administration, or teaching courses in psychology, sociology, or upper-level social work, will find this book full of comprehensive and practical information that is advantageous for their work.