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Software Quality: The Complexity and Challenges of Software Engineering and Software Quality in the Cloud

Software Quality: The Complexity and Challenges of Software Engineering and Software Quality in the Cloud
Author: Dietmar Winkler
Publisher: Springer
Total Pages: 176
Release: 2019-01-07
Genre: Computers
ISBN: 3030057674
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This book constitutes the refereed proceedings of the 11th Software Quality Days Conference, SWQD 2019, held in Vienna, Austria, in January 2019. The Software Quality Days (SWQD) conference started in 2009 and has grown to the biggest conference on software quality in Europe with a strong community. The program of the SWQD conference is designed to encompass a stimulating mixture of practical presentations and new research topics in scientific presentations. The guiding conference topic of the SWQD 2019 is “The Complexity and Challenges of Software Engineering and Software Quality in the Cloud”. The 5 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 17 submissions. The volume also contains 2 invited talks. The contributions were organized in topical sections named: multi-disciplinary systems and software engineering; software quality and process improvement; software testing; knowledge engineering and machine learning; source code analysis; and software maintenance.

Software Quality. Complexity and Challenges of Software Engineering in Emerging Technologies

Software Quality. Complexity and Challenges of Software Engineering in Emerging Technologies
Author: Dietmar Winkler
Publisher: Springer
Total Pages: 189
Release: 2017-01-05
Genre: Computers
ISBN: 331949421X
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This book constitutes the refereed proceedings of the 9th Software Quality Days Conference, SWQD 2017, held in Vienna, Austria, in January 2017. The SWQD conference offers a range of comprehensive and valuable information by presenting new ideas from the latest research papers, keynote speeches by renowned academics and industry leaders, professional lectures, exhibits, and tutorials. The 4 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 21 submissions. They were organized in topical sections named: model-driven development and configuration management; software development and quality assurance; software quality assurance in industry; crowdsourcing in software engineering; software testing and traceability; and process improvement. The book also contains one keynote talk in full paper length.

Software Engineering in the Era of Cloud Computing

Software Engineering in the Era of Cloud Computing
Author: Muthu Ramachandran
Publisher: Springer Nature
Total Pages: 354
Release: 2020-01-01
Genre: Computers
ISBN: 3030336247
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This book focuses on the development and implementation of cloud-based, complex software that allows parallelism, fast processing, and real-time connectivity. Software engineering (SE) is the design, development, testing, and implementation of software applications, and this discipline is as well developed as the practice is well established whereas the Cloud Software Engineering (CSE) is the design, development, testing, and continuous delivery of service-oriented software systems and applications (Software as a Service Paradigm). However, with the emergence of the highly attractive cloud computing (CC) paradigm, the tools and techniques for SE are changing. CC provides the latest software development environments and the necessary platforms relatively easily and inexpensively. It also allows the provision of software applications equally easily and on a pay-as-you-go basis. Business requirements for the use of software are also changing and there is a need for applications in big data analytics, parallel computing, AI, natural language processing, and biometrics, etc. These require huge amounts of computing power and sophisticated data management mechanisms, as well as device connectivity for Internet of Things (IoT) environments. In terms of hardware, software, communication, and storage, CC is highly attractive for developing complex software that is rapidly becoming essential for all sectors of life, including commerce, health, education, and transportation. The book fills a gap in the SE literature by providing scientific contributions from researchers and practitioners, focusing on frameworks, methodologies, applications, benefits and inherent challenges/barriers to engineering software using the CC paradigm.

Software Quality Assurance

Software Quality Assurance
Author: Ivan Mistrik
Publisher: Morgan Kaufmann
Total Pages: 417
Release: 2015-10-12
Genre: Computers
ISBN: 0128025417
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Software Quality Assurance in Large Scale and Complex Software-intensive Systems presents novel and high-quality research related approaches that relate the quality of software architecture to system requirements, system architecture and enterprise-architecture, or software testing. Modern software has become complex and adaptable due to the emergence of globalization and new software technologies, devices and networks. These changes challenge both traditional software quality assurance techniques and software engineers to ensure software quality when building today (and tomorrow’s) adaptive, context-sensitive, and highly diverse applications. This edited volume presents state of the art techniques, methodologies, tools, best practices and guidelines for software quality assurance and offers guidance for future software engineering research and practice. Each contributed chapter considers the practical application of the topic through case studies, experiments, empirical validation, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited, to: quality attributes of system/software architectures; aligning enterprise, system, and software architecture from the point of view of total quality; design decisions and their influence on the quality of system/software architecture; methods and processes for evaluating architecture quality; quality assessment of legacy systems and third party applications; lessons learned and empirical validation of theories and frameworks on architectural quality; empirical validation and testing for assessing architecture quality. Focused on quality assurance at all levels of software design and development Covers domain-specific software quality assurance issues e.g. for cloud, mobile, security, context-sensitive, mash-up and autonomic systems Explains likely trade-offs from design decisions in the context of complex software system engineering and quality assurance Includes practical case studies of software quality assurance for complex, adaptive and context-critical systems

Software Testing in the Cloud: Perspectives on an Emerging Discipline

Software Testing in the Cloud: Perspectives on an Emerging Discipline
Author: Tilley, Scott
Publisher: IGI Global
Total Pages: 479
Release: 2012-11-30
Genre: Computers
ISBN: 1466625376
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In recent years, cloud computing has gained a significant amount of attention by providing more flexible ways to store applications remotely. With software testing continuing to be an important part of the software engineering life cycle, the emergence of software testing in the cloud has the potential to change the way software testing is performed. Software Testing in the Cloud: Perspectives on an Emerging Discipline is a comprehensive collection of research by leading experts in the field providing an overview of cloud computing and current issues in software testing and system migration. Deserving the attention of researchers, practitioners, and managers, this book aims to raise awareness about this new field of study.

Computational Methods and Data Engineering

Computational Methods and Data Engineering
Author: Vijendra Singh
Publisher: Springer Nature
Total Pages: 559
Release: 2020-11-04
Genre: Technology & Engineering
ISBN: 9811579075
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This book gathers selected high-quality research papers from the International Conference on Computational Methods and Data Engineering (ICMDE 2020), held at SRM University, Sonipat, Delhi-NCR, India. Focusing on cutting-edge technologies and the most dynamic areas of computational intelligence and data engineering, the respective contributions address topics including collective intelligence, intelligent transportation systems, fuzzy systems, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing.

Metrics and Models in Software Quality Engineering

Metrics and Models in Software Quality Engineering
Author: Stephen H. Kan
Publisher: Addison-Wesley Professional
Total Pages: 564
Release: 2003
Genre: Computers
ISBN: 9780201729153
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""This is the single best book on software quality engineering and metrics that I've encountered."" --Capers Jones, from the Foreword"Metrics and Models in Software Quality Engineering, Second Edition," is the definitive book on this essential topic of software development. Comprehensive in scope with extensive industry examples, it shows how to measure software quality and use measurements to improve the software development process. Four major categories of quality metrics and models are addressed: quality management, software reliability and projection, complexity, and customer view. In addition, the book discusses the fundamentals of measurement theory, specific quality metrics and tools, and methods for applying metrics to the software development process.New chapters bring coverage of critical topics, including: In-process metrics for software testingMetrics for object-oriented software developmentAvailability metricsMethods for conducting in-process quality assessments and software project assessmentsDos and Don'ts of Software Process Improvement, by Patrick O'TooleUsing Function Point Metrics to Measure Software Process Improvement, by Capers Jones In addition to the excellent balance of theory, techniques, and examples, this book is highly instructive and practical, covering one of the most important topics in software development--quality engineering. 0201729156B08282002

Software Quality and Software Testing in Internet Times

Software Quality and Software Testing in Internet Times
Author: Dirk Meyerhoff
Publisher: Springer Science & Business Media
Total Pages: 297
Release: 2011-06-28
Genre: Computers
ISBN: 3642563333
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This publication deals with two major software quality management challenges. The first one involves how to deliver a software product within a competitive time frame and with a satisfying quality to the customer. The second one concerns how to best deal with the growing complexity of software applications using Internet technology. Due to faster development cycles the quality of an application has to be monitored during operation, since the usage of the application and the technology around it might change from day-to-day. The book compiles experiences from different industries and perspectives. Its goal is to give practical insights into high-tech software development projects of today.

Software Quality

Software Quality
Author: Alan Gillies
Publisher: Lulu.com
Total Pages: 357
Release: 2011
Genre: Computers
ISBN: 1446753980
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Software Quality: Theory and Management has been in print around the world since 1992. After the publisher accidentally removed it from the European market in 1998, it continued to sell well in South East Asia and has to date sold over 10,000 copies world-wide. Originally used with BSc and MSc students at the University of Salford, previous editions have been used as a textbook in the UK, Europe, North America and Asia. However, the contents of the second edition look sadly dated by now, and even core concepts such as development methodologies have moved on substantially. Therefore, I have decided to produce a third edition which has been updated in both content and method of delivery.

Model-Driven Engineering and Software Development

Model-Driven Engineering and Software Development
Author: Slimane Hammoudi
Publisher: Springer Nature
Total Pages: 386
Release: 2021-02-01
Genre: Computers
ISBN: 3030674452
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This book constitutes thoroughly revised and selected papers from the 8th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2020, held in Valletta, Malta, in February 2020. The 15 revised and extended papers presented in this volume were carefully reviewed and selected from 66 submissions. They present recent research results and development activities in using models and model driven engineering techniques for software development. The papers are organized in topical sections on​ methodologies, processes and platforms; applications and software development; modeling languages, tools and architectures.