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Empirical Research in Software Engineering

Empirical Research in Software Engineering Author Ruchika Malhotra
ISBN-10 9781498719735
Release 2016-03-09
Pages 472
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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.

Empirical Research in Software Engineering

Empirical Research in Software Engineering Author Ruchika Malhotra
ISBN-10 1498719724
Release 2015-10-12
Pages 495
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Empirical research has become an essential component of software engineering research practice. In this book, a description of the steps followed in the research process in order to carry replicated and empirical research is presented. Readers will gain practical knowledge about how to plan and design experiments, conduct systematic reviews and case studies and analyze the results produced by these empirical studies. Readers will also experience the process of developing predictive models on data collected from source code repositories.

Empirical Research for Software Security

Empirical Research for Software Security Author Lotfi ben Othmane
ISBN-10 9781351650885
Release 2017-11-28
Pages 302
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Developing secure software requires the integration of numerous methods and tools into the development process, and software design is based on shared expert knowledge, claims, and opinions. Empirical methods, including data analytics, allow extracting knowledge and insights from the data that organizations collect from their processes and tools, and from the opinions of the experts who practice these processes and methods. This book introduces the reader to the fundamentals of empirical research methods, and demonstrates how these methods can be used to hone a secure software development lifecycle based on empirical data and published best practices.

Case Study Research in Software Engineering

Case Study Research in Software Engineering Author Per Runeson
ISBN-10 9781118181003
Release 2012-03-07
Pages 256
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Based on their own experiences of in-depth case studies of software projects in international corporations, in this book the authors present detailed practical guidelines on the preparation, conduct, design and reporting of case studies of software engineering. This is the first software engineering specific book on the case study research method.

Perspectives on Data Science for Software Engineering

Perspectives on Data Science for Software Engineering Author Tim Menzies
ISBN-10 9780128042618
Release 2016-07-14
Pages 408
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Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics. At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions. While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community’s leaders gathered to share hard-won lessons from the trenches. Ideas are presented in digestible chapters designed to be applicable across many domains. Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid. Presents the wisdom of community experts, derived from a summit on software analytics Provides contributed chapters that share discrete ideas and technique from the trenches Covers top areas of concern, including mining security and social data, data visualization, and cloud-based data Presented in clear chapters designed to be applicable across many domains

Software Applications Concepts Methodologies Tools and Applications

Software Applications  Concepts  Methodologies  Tools  and Applications Author Tiako, Pierre F.
ISBN-10 9781605660615
Release 2009-03-31
Pages 3994
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Includes articles in topic areas such as autonomic computing, operating system architectures, and open source software technologies and applications.

The Art and Science of Analyzing Software Data

The Art and Science of Analyzing Software Data Author Christian Bird
ISBN-10 9780124115439
Release 2015-09-02
Pages 672
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The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions. Presents best practices, hints, and tips to analyze data and apply tools in data science projects Presents research methods and case studies that have emerged over the past few years to further understanding of software data Shares stories from the trenches of successful data science initiatives in industry

Repeated Measures Design for Empirical Researchers

Repeated Measures Design for Empirical Researchers Author J. P. Verma
ISBN-10 9781119052715
Release 2015-08-31
Pages 288
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Introduces the applications of repeated measures design processes with the popular IBM® SPSS® software Repeated Measures Design for Empirical Researchers presents comprehensive coverage of the formation of research questions and the analysis of repeated measures using IBM SPSS and also includes the solutions necessary for understanding situations where the designs can be used. In addition to explaining the computation involved in each design, the book presents a unique discussion on how to conceptualize research problems as well as identify appropriate repeated measures designs for research purposes. Featuring practical examples from a multitude of domains including psychology, the social sciences, management, and sports science, the book helps readers better understand the associated theories and methodologies of repeated measures design processes. The book covers various fundamental concepts involved in the design of experiments, basic statistical designs, computational details, differentiating independent and repeated measures designs, and testing assumptions. Along with an introduction to IBM SPSS software, Repeated Measures Design for Empirical Researchers includes: A discussion of the popular repeated measures designs frequently used by researchers, such as one–way repeated measures ANOVA, two–way repeated measures design, two–way mixed design, and mixed design with two–way MANOVA Coverage of sample size determination for the successful implementation of designing and analyzing a repeated measures study A step–by–step guide to analyzing the data obtained with real–world examples throughout to illustrate the underlying advantages and assumptions A companion website with supplementary IBM SPSS data sets and programming solutions as well as additional case studies Repeated Measures Design for Empirical Researchers is a useful textbook for graduate– and PhD–level students majoring in biostatistics, the social sciences, psychology, medicine, management, sports, physical education, and health. The book is also an excellent reference for professionals interested in experimental designs and statistical sciences as well as statistical consultants and practitioners from other fields including biological, medical, agricultural, and horticultural sciences. J. P. Verma, PhD, is Professor of Statistics and Director of the Center for Advanced Studies at Lakshmibai National Institute of Physical Education, India. Professor Verma is an active researcher in sports modeling and data analysis and has conducted many workshops on research methodology, research designs, multivariate analysis, statistical modeling, and data analysis for students of management, physical education, social science, and economics. He is the author of Statistics for Exercise Science and Health with Microsoft® Office Excel®, also published by Wiley.

Basics of Software Engineering Experimentation

Basics of Software Engineering Experimentation Author Natalia Juristo
ISBN-10 9781475733044
Release 2013-03-14
Pages 396
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Basics of Software Engineering Experimentation is a practical guide to experimentation in a field which has long been underpinned by suppositions, assumptions, speculations and beliefs. It demonstrates to software engineers how Experimental Design and Analysis can be used to validate their beliefs and ideas. The book does not assume its readers have an in-depth knowledge of mathematics, specifying the conceptual essence of the techniques to use in the design and analysis of experiments and keeping the mathematical calculations clear and simple. Basics of Software Engineering Experimentation is practically oriented and is specially written for software engineers, all the examples being based on real and fictitious software engineering experiments.

Experimentation in Software Engineering

Experimentation in Software Engineering Author Claes Wohlin
ISBN-10 9783642290442
Release 2012-06-16
Pages 236
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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.

Guide to Advanced Empirical Software Engineering

Guide to Advanced Empirical Software Engineering Author Forrest Shull
ISBN-10 9781848000445
Release 2007-11-21
Pages 388
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This book gathers chapters from some of the top international empirical software engineering researchers focusing on the practical knowledge necessary for conducting, reporting and using empirical methods in software engineering. Topics and features include guidance on how to design, conduct and report empirical studies. The volume also provides information across a range of techniques, methods and qualitative and quantitative issues to help build a toolkit applicable to the diverse software development contexts

Software Designers in Action

Software Designers in Action Author Marian Petre
ISBN-10 9781466501102
Release 2013-09-10
Pages 452
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Software Designers in Action: A Human-Centric Look at Design Work examines how developers actually perform software design in their day-to-day work. The book offers a comprehensive look at early software design, exploring the work of professional designers from a range of different viewpoints. Divided into four sections, it discusses various theoretical examinations of the nature of software design and particular design problems, critically assesses the processes and practices that designers follow, presents in-depth accounts of key supporting elements of design, and explores the role of human interaction in software design. With highly interdisciplinary contributions that together provide a unique perspective on software development, this book helps readers understand how software design is performed today and encourages the current community of researchers to push the field forward.

Information Systems Development Research Applications Education

Information Systems  Development  Research  Applications  Education Author Stanislaw Wrycza
ISBN-10 9783319466422
Release 2016-10-30
Pages 205
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This book constitutes the refereed proceedings of the SIGSAND/PLAIS EuroSymposium 2016 titled Information Systems: Development, Research, Applications, Education, held in Gdansk and Sopot, Poland, on September 29, 2016. The objective of this symposium is to promote and develop high-quality research on all issues related to systems analysis and design (SAND). It provides a forum for SAND researchers and practitioners in Europe and beyond to interact, collaborate, and develop their field. The 14 papers presented in this volume were carefully reviewed and selected from 34 submissions. They are organized in topical sections on information systems development, information systems management, and information systems learning.

Software Design and Development Concepts Methodologies Tools and Applications

Software Design and Development  Concepts  Methodologies  Tools  and Applications Author Management Association, Information Resources
ISBN-10 9781466643024
Release 2013-07-31
Pages 2348
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Innovative tools and techniques for the development and design of software systems are essential to the problem solving and planning of software solutions. Software Design and Development: Concepts, Methodologies, Tools, and Applications brings together the best practices of theory and implementation in the development of software systems. This reference source is essential for researchers, engineers, practitioners, and scholars seeking the latest knowledge on the techniques, applications, and methodologies for the design and development of software systems.


ISBN-10 9788120345355
Release 2012-03-05
Pages 480
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This comprehensive and well-written book presents the fundamentals of object-oriented software engineering and discusses the recent technological developments in the field. It focuses on object-oriented software engineering in the context of an overall effort to present object-oriented concepts, techniques and models that can be applied in software estimation, analysis, design, testing and quality improvement. It applies unified modelling language notations to a series of examples with a real-life case study. The example-oriented approach followed in this book will help the readers in understanding and applying the concepts of object-oriented software engineering quickly and easily in various application domains. This book is designed for the undergraduate and postgraduate students of computer science and engineering, computer applications, and information technology. KEY FEATURES : Provides the foundation and important concepts of object-oriented paradigm. Presents traditional and object-oriented software development life cycle models with a special focus on Rational Unified Process model. Addresses important issues of improving software quality and measuring various object-oriented constructs using object-oriented metrics. Presents numerous diagrams to illustrate object-oriented software engineering models and concepts. Includes a large number of solved examples, chapter-end review questions and multiple choice questions along with their answers.

Empirical Studies in Software Engineering

Empirical Studies in Software Engineering Author Christian Bunse
ISBN-10 381676374X
Release 2003
Pages 462
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Many academics and practitioners believe that evaluation has a vital role to play in software engineering. As well as evaluating both application level and component level products, software engineers need to be concerned with the evaluation of development processes, engineering methods and supplier organizations. However, both academics and practitioners are concerned about the cost and effectiveness of applying many of the existing assessment methods. One of the aims of the workshop was to address the question of justifying the use of empirical assessment and evaluation in software engineering, as well as to hear about practical experiences. Both this theme, together with the other issues involved in evaluation, were addresses through technical presentations and experience reports. Thus, the worlshop was a unique forum dedicated to the presentation and discussion of research and practical experiences addressing all aspects of empirical assessment and evaluation in software engineering.

The Concept Industry 4 0

The Concept Industry 4 0 Author Christoph Jan Bartodziej
ISBN-10 9783658165024
Release 2016-11-16
Pages 150
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Christoph Jan Bartodziej examines by means of an empirical study which potential Industry 4.0 technologies do have regarding end-to-end digital integration in production logistics based on their functions. According to the relevance of the concept Industry 4.0 and its early stage of implementation it is essential to clarify terminology, explain relations and identify drivers and challenges for an appropriate use of Industry 4.0 technologies. The results will constitute a profound basis to formulate recommendations for action for technology suppliers and technology users.