Foundations of Empirical Software Engineering

Foundations of Empirical Software Engineering

Author: Barry Boehm

Publisher: Springer Science & Business Media

Published: 2005-05-13

Total Pages: 452

ISBN-13: 9783540245476

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Although software engineering can trace its beginnings to a NATO conf- ence in 1968, it cannot be said to have become an empirical science until the 1970s with the advent of the work of Prof. Victor Robert Basili of the University of Maryland. In addition to the need to engineer software was the need to understand software. Much like other sciences, such as physics, chemistry, and biology, software engineering needed a discipline of obs- vation, theory formation, experimentation, and feedback. By applying the scientific method to the software engineering domain, Basili developed concepts like the Goal-Question-Metric method, the Quality-Improvement- Paradigm, and the Experience Factory to help bring a sense of order to the ad hoc developments so prevalent in the software engineering field. On the occasion of Basili’s 65th birthday, we present this book c- taining reprints of 20 papers that defined much of his work. We divided the 20 papers into 6 sections, each describing a different facet of his work, and asked several individuals to write an introduction to each section. Instead of describing the scope of this book in this preface, we decided to let one of his papers, the keynote paper he gave at the International C- ference on Software Engineering in 1996 in Berlin, Germany to lead off this book. He, better than we, can best describe his views on what is - perimental software engineering.


Guide to Advanced Empirical Software Engineering

Guide to Advanced Empirical Software Engineering

Author: Forrest Shull

Publisher: Springer Science & Business Media

Published: 2007-11-21

Total Pages: 393

ISBN-13: 1848000448

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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 Engineering Foundations

Software Engineering Foundations

Author: Yingxu Wang

Publisher: CRC Press

Published: 2007-08-09

Total Pages: 1488

ISBN-13: 0203496094

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A groundbreaking book in this field, Software Engineering Foundations: A Software Science Perspective integrates the latest research, methodologies, and their applications into a unified theoretical framework. Based on the author's 30 years of experience, it examines a wide range of underlying theories from philosophy, cognitive informatics, denota


Empirical Research for Software Security

Empirical Research for Software Security

Author: Lotfi ben Othmane

Publisher: CRC Press

Published: 2017-11-28

Total Pages: 323

ISBN-13: 1498776426

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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.


Fundamentals of Software Startups

Fundamentals of Software Startups

Author: Anh Nguyen-Duc

Publisher: Springer

Published: 2020-03-13

Total Pages: 343

ISBN-13: 9783030359829

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This book discusses important topics for engineering and managing software startups, such as how technical and business aspects are related, which complications may arise and how they can be dealt with. It also addresses the use of scientific, engineering, and managerial approaches to successfully develop software products in startup companies. The book covers a wide range of software startup phenomena, and includes the knowledge, skills, and capabilities required for startup product development; team capacity and team roles; technical debt; minimal viable products; startup metrics; common pitfalls and patterns observed; as well as lessons learned from startups in Finland, Norway, Brazil, Russia and USA. All results are based on empirical findings, and the claims are backed by evidence and concrete observations, measurements and experiments from qualitative and quantitative research, as is common in empirical software engineering. The book helps entrepreneurs and practitioners to become aware of various phenomena, challenges, and practices that occur in real-world startups, and provides insights based on sound research methodologies presented in a simple and easy-to-read manner. It also allows students in business and engineering programs to learn about the important engineering concepts and technical building blocks of a software startup. It is also suitable for researchers at different levels in areas such as software and systems engineering, or information systems who are studying advanced topics related to software business.


Contemporary Empirical Methods in Software Engineering

Contemporary Empirical Methods in Software Engineering

Author: Michael Felderer

Publisher: Springer Nature

Published: 2020-08-27

Total Pages: 525

ISBN-13: 3030324893

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This book presents contemporary empirical methods in software engineering related to the plurality of research methodologies, human factors, data collection and processing, aggregation and synthesis of evidence, and impact of software engineering research. The individual chapters discuss methods that impact the current evolution of empirical software engineering and form the backbone of future research. Following an introductory chapter that outlines the background of and developments in empirical software engineering over the last 50 years and provides an overview of the subsequent contributions, the remainder of the book is divided into four parts: Study Strategies (including e.g. guidelines for surveys or design science); Data Collection, Production, and Analysis (highlighting approaches from e.g. data science, biometric measurement, and simulation-based studies); Knowledge Acquisition and Aggregation (highlighting literature research, threats to validity, and evidence aggregation); and Knowledge Transfer (discussing open science and knowledge transfer with industry). Empirical methods like experimentation have become a powerful means of advancing the field of software engineering by providing scientific evidence on software development, operation, and maintenance, but also by supporting practitioners in their decision-making and learning processes. Thus the book is equally suitable for academics aiming to expand the field and for industrial researchers and practitioners looking for novel ways to check the validity of their assumptions and experiences. Chapter 17 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.


Software Engineering for Variability Intensive Systems

Software Engineering for Variability Intensive Systems

Author: Ivan Mistrik

Publisher: CRC Press

Published: 2019-01-15

Total Pages: 401

ISBN-13: 0429666748

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This book addresses the challenges in the software engineering of variability-intensive systems. Variability-intensive systems can support different usage scenarios by accommodating different and unforeseen features and qualities. The book features academic and industrial contributions that discuss the challenges in developing, maintaining and evolving systems, cloud and mobile services for variability-intensive software systems and the scalability requirements they imply. The book explores software engineering approaches that can efficiently deal with variability-intensive systems as well as applications and use cases benefiting from variability-intensive systems.


Designing with Blends

Designing with Blends

Author: Manuel Imaz

Publisher:

Published: 2007

Total Pages: 256

ISBN-13:

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How recent research in cognitive science offers new ways to understand the interaction of people and computers and develops a new literacy for well-informed, sensitive software design. The evolution of the concept of mind in cognitive science over the past 25 years creates new ways to think about the interaction of people and computers. New ideas about embodiment, metaphor as a fundamental cognitive process, and conceptual integration--a blending of older concepts that gives rise to new, emergent properties--have become increasingly important in software engineering (SE) and human-computer interaction (HCI). If once computing was based on algorithms, mathematical theories, and formal notations, now the use of stories, metaphors, and blends can contribute to well-informed, sensitive software design. In Designing with Blends, Manuel Imaz and David Benyon show how these new metaphors and concepts of mind allow us to discover new aspects of HCI-SE. After 60 years, digital technology has come of age, but software design has not kept pace with technological sophistication; people struggle to understand and use their computers, cameras, phones, and other devices. Imaz and Benyon argue that the dominance of digital media in our lives demands changes in HCI-SE based on advances in cognitive science. The idea of embodied cognition, they contend, can change the way we approach design by emphasizing the figurative nature of interaction. Imaz and Benyon offer both theoretical grounding and practical examples that illustrate the advantages of applying cognitive concepts to software design. A new view of cognition, they argue, will develop a cognitive literacy in software and interaction design that helps designers understand the opportunities of digital technology and provides people with a more satisfying interactive experience.


A Handbook of Software and Systems Engineering

A Handbook of Software and Systems Engineering

Author: Albert Endres

Publisher: Pearson Education

Published: 2003

Total Pages: 360

ISBN-13: 9780321154200

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Annotation This handbook presents the laws that significantly impact software engineering. This book begins with requirements definitions and concludes with maintenance and withdrawal. Along the way, it identifies and discusses existing laws that significantly impact software engineering. Software engineers who wish to reacquaint (or ecquaint) themselves with the basic laws of software engineering and their applicability in an industrial setting.


Lecture Notes on Empirical Software Engineering

Lecture Notes on Empirical Software Engineering

Author: Natalia Juristo

Publisher: World Scientific

Published: 2003-01-01

Total Pages: 280

ISBN-13: 9789812795588

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Empirical verification of knowledge is one of the foundations for developing any discipline. As far as software construction is concerned, the empirically verified knowledge is not only sparse but also not very widely disseminated among developers and researchers. This book aims to spread the idea of the importance of empirical knowledge in software development from a highly practical viewpoint. It has two goals: (1) Define the body of empirically validated knowledge in software development so as to advise practitioners on what methods or techniques have been empirically analysed and what the results were; (2) as empirical tests have traditionally been carried out by universities or research centres, propose techniques applicable by industry to check on the software development technologies they use. Contents: Limitations of Empirical Testing Technique Knowledge (N Juristo et al.); Replicated Studies: Building a Body of Knowledge about Software Reading Techniques (F Shull et al.); Combining Data from Reading Experiments in Software Inspections OCo A Feasibility Study (C Wholin et al.); External Experiments OCo A Workable Paradigm for Collaboration Between Industry and Academia (F Houdek); (Quasi-)Experimental Studies in Industrial Settings (O Laitenberger & D Rombach); Experimental Validation of New Software Technology (M V Zelkowitz et al.). Readership: Researchers, academics and professionals in software engineering."