Analytic Methods in Systems and Software Testing
Analytic Methods in Systems and Software Testing

Author: Ron S. Kenett

Publisher: John Wiley & Sons

Published: 2018-06-20

Total Pages: 568

ISBN-13: 1119487366

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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.

Analytic Methods in Systems and Software Testing
Analytic Methods in Systems and Software Testing

Author: Ron S. Kenett

Publisher: John Wiley & Sons

Published: 2018-09-04

Total Pages: 570

ISBN-13: 1119271509

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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.

Software Testing and Analysis
Software Testing and Analysis

Author: Mauro Pezze

Publisher: John Wiley & Sons

Published: 2008

Total Pages: 516

ISBN-13:

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Teaches readers how to test and analyze software to achieve an acceptable level of quality at an acceptable cost Readers will be able to minimize software failures, increase quality, and effectively manage costs Covers techniques that are suitable for near-term application, with sufficient technical background to indicate how and when to apply them Provides balanced coverage of software testing & analysis approaches By incorporating modern topics and strategies, this book will be the standard software-testing textbook

Software Error Detection through Testing and Analysis
Software Error Detection through Testing and Analysis

Author: J. C. Huang

Publisher: John Wiley & Sons

Published: 2009-08-06

Total Pages: 350

ISBN-13: 0470464054

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An in-depth review of key techniques in software error detection Software error detection is one of the most challenging problems in software engineering. Now, you can learn how to make the most of software testing by selecting test cases to maximize the probability of revealing latent errors. Software Error Detection through Testing and Analysis begins with a thorough discussion of test-case selection and a review of the concepts, notations, and principles used in the book. Next, it covers: Code-based test-case selection methods Specification-based test-case selection methods Additional advanced topics in testing Analysis of symbolic trace Static analysis Program instrumentation Each chapter begins with a clear introduction and ends with exercises for readers to test their understanding of the material. Plus, appendices provide a logico-mathematical background, glossary, and questions for self-assessment. Assuming a basic background in software quality assurance and an ability to write nontrivial programs, the book is free of programming languages and paradigms used to construct the program under test. Software Error Detection through Testing and Analysis is suitable as a professional reference for software testing specialists, software engineers, software developers, and software programmers. It is also appropriate as a textbook for software engineering, software testing, and software quality assurance courses at the advanced undergraduate and graduate levels.

Model-Based Software Performance Analysis
Model-Based Software Performance Analysis

Author: Vittorio Cortellessa

Publisher: Springer Science & Business Media

Published: 2011-05-05

Total Pages: 197

ISBN-13: 3642136214

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Poor performance is one of the main quality-related shortcomings that cause software projects to fail. Thus, the need to address performance concerns early during the software development process is fully acknowledged, and there is a growing interest in the research and software industry communities towards techniques, methods and tools that permit to manage system performance concerns as an integral part of software engineering. Model-based software performance analysis introduces performance concerns in the scope of software modeling, thus allowing the developer to carry on performance analysis throughout the software lifecycle. With this book, Cortellessa, Di Marco and Inverardi provide the cross-knowledge that allows developers to tackle software performance issues from the very early phases of software development. They explain the basic concepts of performance analysis and describe the most representative methodologies used to annotate and transform software models into performance models. To this end, they go all the way from performance primers through software and performance modeling notations to the latest transformation-based methodologies. As a result, their book is a self-contained reference text on software performance engineering, from which different target groups will benefit: professional software engineers and graduate students in software engineering will learn both basic concepts of performance modeling and new methodologies; while performance specialists will find out how to investigate software performance model building.

Business Analysis, Software Testing, Usability
Business Analysis, Software Testing, Usability

Author: Koray Yitmen

Publisher: Lutfi Koray Yitmen

Published: 2016-08-24

Total Pages:

ISBN-13: 9786056606113

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"There are many books about topics and disciplines in Information Technology. But most books concentrate on a single area. This book is an exception - it looks at three disciplines and ties them together. Excellent idea. Congratulations to Koray for putting this book together, and also for his generosity in donating profits to schools." -- Dorothy Graham, Best-selling Author "Koray does a great job of using clever, insightful metaphors to illustrate concepts. He writes in an accessible, easy-to-read style. I hope you enjoy reading this book as much as I did." -- Rex Black, Best-selling Author "In his book Koray uses two phrases again and again. The first is "Quality is not tested, but built."The other phrase is ..". should first be handled as a people issue rather than a technology issue." To those in the IT world who need an understanding of these principles, I recommend this book." -- Lee Copeland, Best-selling Author This book is a quick guide to business analysis, software testing, and usability disciplines. Throughout the book, different perspectives are brought to the following interesting comparisons and relationships: Business Analysis - Business analysts and software testers - Usability specialists and business analysts - System analysts and business analysts - Project management and business analysis - Business requirements and system requirements - Use cases and user requirements - The object-oriented approach versus the business process approach - Functional requirements and non-functional requirements - Scope management and stakeholder management - Change management and project management - Process flows, class diagrams, and sequence diagrams - Use case modelling and project scope definition - In-scope items and out-of-scope items - Unclear requirements and test cases - Traceability matrix and gold plating - Change request management process and requirements management tools - Impact analysis and traceability matrix - Project Management Institute (PMI) knowledge areas and business analysis Software Testing - Software test design techniques and high jump techniques - Software testing and road traffic - Priority versus severity - Risk and software testing - Software testing levels and software testing types - Black-box testing versus white-box testing - Statement coverage versus decision coverage Usability - User Experience (UX) and usability - Usability specialists and business analysts - Usability testing versus user acceptance testing - Interaction design and process flow design - User profiling versus persona identification - Interface design and interaction design This book targets broad range of professionals such as: - Business analysts, software testers, usability specialists and UX designers - Systems analysts and developers - Project managers, entrepreneurs, product owners, scrum masters and product managers - Business units, sales managers and marketing managers - Business consultants, management consultants, C-level executives - Managers of all divisions"

Experimentation in Software Engineering
Experimentation in Software Engineering

Author: Claes Wohlin

Publisher: Springer Science & Business Media

Published: 2012-06-16

Total Pages: 249

ISBN-13: 3642290442

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Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing between different methods, techniques, languages and tools. The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, using controlled experiments. The introduction to experimentation is provided through a process perspective, and the focus is on the steps that we have to go through to perform an experiment. The book is divided into three parts. The first part provides a background of theories and methods used in experimentation. Part II then devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendixes. Overall the book provides indispensable information regarding empirical studies in particular for experiments, but also for case studies, systematic literature reviews, and surveys. It is a revision of the authors’ book, which was published in 2000. In addition, substantial new material, e.g. concerning systematic literature reviews and case study research, is introduced. The book is self-contained and it is suitable as a course book in undergraduate or graduate studies where the need for empirical studies in software engineering is stressed. Exercises and assignments are included to combine the more theoretical material with practical aspects. Researchers will also benefit from the book, learning more about how to conduct empirical studies, and likewise practitioners may use it as a “cookbook” when evaluating new methods or techniques before implementing them in their organization.

Model-Based Engineering with AADL
Model-Based Engineering with AADL

Author: Peter H. Feiler

Publisher: Addison-Wesley

Published: 2012-09-25

Total Pages: 765

ISBN-13: 0133132900

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Conventional build-then-test practices are making today’s embedded, software-reliant systems unaffordable to build. In response, more than thirty leading industrial organizations have joined SAE (formerly, the Society of Automotive Engineers) to define the SAE Architecture Analysis & Design Language (AADL) AS-5506 Standard, a rigorous and extensible foundation for model-based engineering analysis practices that encompass software system design, integration, and assurance. Using AADL, you can conduct lightweight and rigorous analyses of critical real-time factors such as performance, dependability, security, and data integrity. You can integrate additional established and custom analysis/specification techniques into your engineering environment, developing a fully unified architecture model that makes it easier to build reliable systems that meet customer expectations. Model-Based Engineering with AADL is the first guide to using this new international standard to optimize your development processes. Coauthored by Peter H. Feiler, the standard’s author and technical lead, this introductory reference and tutorial is ideal for self-directed learning or classroom instruction, and is an excellent reference for practitioners, including architects, developers, integrators, validators, certifiers, first-level technical leaders, and project managers. Packed with real-world examples, it introduces all aspects of the AADL notation as part of an architecture-centric, model-based engineering approach to discovering embedded software systems problems earlier, when they cost less to solve. Throughout, the authors compare AADL to other modeling notations and approaches, while presenting the language via a complete case study: the development and analysis of a realistic example system through repeated refinement and analysis. Part One introduces both the AADL language and core Model-Based Engineering (MBE) practices, explaining basic software systems modeling and analysis in the context of an example system, and offering practical guidelines for effectively applying AADL. Part Two describes the characteristics of each AADL element, including their representations, applicability, and constraints. The Appendix includes comprehensive listings of AADL language elements, properties incorporated in the AADL standard, and a description of the book’s example system.