Basics Of Software Engineering Experimentation

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Basics of Software Engineering Experimentation

Natalia Juristo,Ana M. Moreno
Basics of Software Engineering Experimentation Book PDF

Author : Natalia Juristo,Ana M. Moreno
Publisher : Springer Science & Business Media
Page : 405 pages
File Size : 44,6 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9781475733044

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Basics of Software Engineering Experimentation by Natalia Juristo,Ana M. Moreno Pdf

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

Claes Wohlin,Per Runeson,Martin Höst,Magnus C. Ohlsson,Björn Regnell,Anders Wesslén
Experimentation in Software Engineering Book PDF

Author : Claes Wohlin,Per Runeson,Martin Höst,Magnus C. Ohlsson,Björn Regnell,Anders Wesslén
Publisher : Springer Science & Business Media
Page : 249 pages
File Size : 55,6 Mb
Release : 2012-06-16
Category : Computers
ISBN : 9783642290442

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Experimentation in Software Engineering by Claes Wohlin,Per Runeson,Martin Höst,Magnus C. Ohlsson,Björn Regnell,Anders Wesslén Pdf

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.

Modern Software Engineering

David Farley
Modern Software Engineering Book PDF

Author : David Farley
Publisher : Addison-Wesley Professional
Page : 478 pages
File Size : 50,6 Mb
Release : 2021-11-16
Category : Computers
ISBN : 9780137314867

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Modern Software Engineering by David Farley Pdf

Improve Your Creativity, Effectiveness, and Ultimately, Your Code In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues. Writing for programmers, managers, and technical leads at all levels of experience, Farley illuminates durable principles at the heart of effective software development. He distills the discipline into two core exercises: learning and exploration and managing complexity. For each, he defines principles that can help you improve everything from your mindset to the quality of your code, and describes approaches proven to promote success. Farley's ideas and techniques cohere into a unified, scientific, and foundational approach to solving practical software development problems within realistic economic constraints. This general, durable, and pervasive approach to software engineering can help you solve problems you haven't encountered yet, using today's technologies and tomorrow's. It offers you deeper insight into what you do every day, helping you create better software, faster, with more pleasure and personal fulfillment. Clarify what you're trying to accomplish Choose your tools based on sensible criteria Organize work and systems to facilitate continuing incremental progress Evaluate your progress toward thriving systems, not just more "legacy code" Gain more value from experimentation and empiricism Stay in control as systems grow more complex Achieve rigor without too much rigidity Learn from history and experience Distinguish "good" new software development ideas from "bad" ones Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Experimentation for Engineers

David Sweet
Experimentation for Engineers Book PDF

Author : David Sweet
Publisher : Simon and Schuster
Page : 246 pages
File Size : 50,5 Mb
Release : 2023-03-21
Category : Computers
ISBN : 9781638356905

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Experimentation for Engineers by David Sweet Pdf

Optimize the performance of your systems with practical experiments used by engineers in the world’s most competitive industries. In Experimentation for Engineers: From A/B testing to Bayesian optimization you will learn how to: Design, run, and analyze an A/B test Break the "feedback loops" caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization Clearly define business metrics used for decision-making Identify and avoid the common pitfalls of experimentation Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox of techniques for evaluating new features and fine-tuning parameters. You’ll start with a deep dive into methods like A/B testing, and then graduate to advanced techniques used to measure performance in industries such as finance and social media. Learn how to evaluate the changes you make to your system and ensure that your testing doesn’t undermine revenue or other business metrics. By the time you’re done, you’ll be able to seamlessly deploy experiments in production while avoiding common pitfalls. About the technology Does my software really work? Did my changes make things better or worse? Should I trade features for performance? Experimentation is the only way to answer questions like these. This unique book reveals sophisticated experimentation practices developed and proven in the world’s most competitive industries that will help you enhance machine learning systems, software applications, and quantitative trading solutions. About the book Experimentation for Engineers: From A/B testing to Bayesian optimization delivers a toolbox of processes for optimizing software systems. You’ll start by learning the limits of A/B testing, and then graduate to advanced experimentation strategies that take advantage of machine learning and probabilistic methods. The skills you’ll master in this practical guide will help you minimize the costs of experimentation and quickly reveal which approaches and features deliver the best business results. What's inside Design, run, and analyze an A/B test Break the “feedback loops” caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization About the reader For ML and software engineers looking to extract the most value from their systems. Examples in Python and NumPy. About the author David Sweet has worked as a quantitative trader at GETCO and a machine learning engineer at Instagram. He teaches in the AI and Data Science master's programs at Yeshiva University. Table of Contents 1 Optimizing systems by experiment 2 A/B testing: Evaluating a modification to your system 3 Multi-armed bandits: Maximizing business metrics while experimenting 4 Response surface methodology: Optimizing continuous parameters 5 Contextual bandits: Making targeted decisions 6 Bayesian optimization: Automating experimental optimization 7 Managing business metrics 8 Practical considerations

Introduction to Engineering Experimentation

Anthony J. Wheeler,Ahmad Reza Ganji
Introduction to Engineering Experimentation Book PDF

Author : Anthony J. Wheeler,Ahmad Reza Ganji
Publisher : Unknown
Page : 472 pages
File Size : 53,7 Mb
Release : 2003
Category : Science
ISBN : UOM:39015059106651

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Introduction to Engineering Experimentation by Anthony J. Wheeler,Ahmad Reza Ganji Pdf

This text for an undergraduate junior or senior course covers the most common elements necessary to design, execute, analyze, and document an engineering experiment or measurement system and to specify instrumentation for a production process. In addition to descriptions of common measurement systems, the text covers computerized data acquisition systems, common statistical techniques, experimental uncertainty analysis, and guidelines for planning and documenting experiments. The authors are affiliated with the school of engineering at San Francisco State University. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com)

Statistical Software Engineering

National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Panel on Statistical Methods in Software Engineering
Statistical Software Engineering Book PDF

Author : National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Panel on Statistical Methods in Software Engineering
Publisher : National Academies Press
Page : 83 pages
File Size : 50,8 Mb
Release : 1996-03-15
Category : Computers
ISBN : 9780309176088

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Statistical Software Engineering by National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Panel on Statistical Methods in Software Engineering Pdf

This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering. It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the "big picture," as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production.

Contemporary Empirical Methods in Software Engineering

Michael Felderer,Guilherme Horta Travassos
Contemporary Empirical Methods in Software Engineering Book PDF

Author : Michael Felderer,Guilherme Horta Travassos
Publisher : Springer Nature
Page : 525 pages
File Size : 50,8 Mb
Release : 2020-08-27
Category : Computers
ISBN : 9783030324896

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Contemporary Empirical Methods in Software Engineering by Michael Felderer,Guilherme Horta Travassos Pdf

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.

The Design and Analysis of Computer Experiments

Thomas J. Santner,Brian J. Williams,William I. Notz
The Design and Analysis of Computer Experiments Book PDF

Author : Thomas J. Santner,Brian J. Williams,William I. Notz
Publisher : Springer
Page : 436 pages
File Size : 54,6 Mb
Release : 2019-01-08
Category : Mathematics
ISBN : 9781493988471

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The Design and Analysis of Computer Experiments by Thomas J. Santner,Brian J. Williams,William I. Notz Pdf

This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for immediate application. While it is written at a level that is accessible to readers with Masters-level training in Statistics, the book is written in sufficient detail to be useful for practitioners and researchers. New to this revised and expanded edition: • An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples • A new comparison of plug-in prediction methodologies for real-valued simulator output • An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions • A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization • A new chapter describing graphical and numerical sensitivity analysis tools • Substantial new material on calibration-based prediction and inference for calibration parameters • Lists of software that can be used to fit models discussed in the book to aid practitioners

Guide to Advanced Empirical Software Engineering

Forrest Shull,Janice Singer,Dag I. K. Sjøberg
Guide to Advanced Empirical Software Engineering Book PDF

Author : Forrest Shull,Janice Singer,Dag I. K. Sjøberg
Publisher : Springer Science & Business Media
Page : 393 pages
File Size : 43,6 Mb
Release : 2007-11-21
Category : Computers
ISBN : 9781848000445

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Guide to Advanced Empirical Software Engineering by Forrest Shull,Janice Singer,Dag I. K. Sjøberg Pdf

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

Perspectives on Data Science for Software Engineering

Tim Menzies,Laurie Williams,Thomas Zimmermann
Perspectives on Data Science for Software Engineering Book PDF

Author : Tim Menzies,Laurie Williams,Thomas Zimmermann
Publisher : Morgan Kaufmann
Page : 408 pages
File Size : 55,5 Mb
Release : 2016-07-14
Category : Computers
ISBN : 9780128042618

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Perspectives on Data Science for Software Engineering by Tim Menzies,Laurie Williams,Thomas Zimmermann Pdf

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

Empirical Methods and Studies in Software Engineering

Reidar Conradi,Alf Inge Wang
Empirical Methods and Studies in Software Engineering Book PDF

Author : Reidar Conradi,Alf Inge Wang
Publisher : Springer
Page : 284 pages
File Size : 55,8 Mb
Release : 2003-08-20
Category : Computers
ISBN : 9783540451433

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Empirical Methods and Studies in Software Engineering by Reidar Conradi,Alf Inge Wang Pdf

Nowadays, societies crucially depend on high-quality software for a large part of their functionalities and activities. Therefore, software professionals, researchers, managers, and practitioners alike have to competently decide what software technologies and products to choose for which purpose. For various reasons, systematic empirical studies employing strictly scientific methods are hardly practiced in software engineering. Thus there is an unquestioned need for developing improved and better-qualified empirical methods, for their application in practice and for dissemination of the results. This book describes different kinds of empirical studies and methods for performing such studies, e.g., for planning, performing, analyzing, and reporting such studies. Actual studies are presented in detail in various chapters dealing with inspections, testing, object-oriented techniques, and component-based software engineering.

Models in Software Engineering

Michel R. V. Chaudron
Models in Software Engineering Book PDF

Author : Michel R. V. Chaudron
Publisher : Springer
Page : 404 pages
File Size : 53,9 Mb
Release : 2009-04-28
Category : Computers
ISBN : 9783642016486

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Models in Software Engineering by Michel R. V. Chaudron Pdf

This book constitutes a collection of the best papers selected from the 12 workshops and 3 tutorials held in conjunction with MODELS 2008, the 11th International Conference on Model Driven Engineering Languages and Systems, in Toulouse, France, September 28 - October 3, 2008. The contributions are organized within the volume according to the workshops at which they were presented: Model Based Architecting and Construction of Embedded Systems (ACES-MB); Challenges in Model Driven Software Engineering (CHAMDE); Empirical Studies of Model Driven Engineering (ESMDA); Models@runtime; Model Co-evolution and Consistency Management (MCCM); Model-Driven Web Engineering (MDWE); Modeling Security (MODSEC); Model-Based Design of Trustworthy Health Information Systems (MOTHIS); Non-functional System Properties in Domain Specific Modeling Languages (NFPin DSML); OCL Tools: From Implementation to Evaluation and Comparison (OCL); Quality in Modeling (QIM); and Transforming and Weaving Ontologies and Model Driven Engineering (TWOMDE). Each section includes a summary of the workshop. The last three sections contain selected papers from the Doctoral Symposium, the Educational Symposium and the Research Project Symposium, respectively.

Foundations of Empirical Software Engineering

Barry Boehm,Hans Dieter Rombach,Marvin V. Zelkowitz
Foundations of Empirical Software Engineering Book PDF

Author : Barry Boehm,Hans Dieter Rombach,Marvin V. Zelkowitz
Publisher : Springer Science & Business Media
Page : 452 pages
File Size : 41,6 Mb
Release : 2005-05-13
Category : Computers
ISBN : 3540245472

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Foundations of Empirical Software Engineering by Barry Boehm,Hans Dieter Rombach,Marvin V. Zelkowitz Pdf

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.

Empirical Software Engineering and Verification

Bertrand Meyer,Martin Nordio
Empirical Software Engineering and Verification Book PDF

Author : Bertrand Meyer,Martin Nordio
Publisher : Springer Science & Business Media
Page : 220 pages
File Size : 51,9 Mb
Release : 2012-01-09
Category : Computers
ISBN : 9783642252303

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Empirical Software Engineering and Verification by Bertrand Meyer,Martin Nordio Pdf

Software engineering, is widely recognized as one of today's most exciting, stimulating, and profitable research areas, with a significant practical impact on the software industry and academia. The LASER school, held annually since 2004 on Elba Island, Italy, is intended for professionals from industry (engineers and managers) as well as university researchers, including PhD students. This book contains selected lecture notes from the LASER summer schools 2008-2010, which focused on concurrency and correctness in 2008, software testing in 2009, and empirical software engineering, in 2010.

Software Engineering: Challenges and Solutions

Lech Madeyski,Michał Śmiałek,Bogumiła Hnatkowska,Zbigniev Huzar
Software Engineering Challenges and Solutions Book PDF

Author : Lech Madeyski,Michał Śmiałek,Bogumiła Hnatkowska,Zbigniev Huzar
Publisher : Springer
Page : 215 pages
File Size : 55,5 Mb
Release : 2016-08-29
Category : Technology & Engineering
ISBN : 9783319436067

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Software Engineering: Challenges and Solutions by Lech Madeyski,Michał Śmiałek,Bogumiła Hnatkowska,Zbigniev Huzar Pdf

This book presents the proceedings of the KKIO Software Engineering Conference held in Wrocław, Poland in September 15-17, 2016. It contains the carefully reviewed and selected scientific outcome of the conference, which had the motto: “Better software = more efficient enterprise: challenges and solutions”. Following this mission, this book is a compilation of challenges and needs of the industry, as well as research findings and achievements that could address the posed problems in software engineering. Some of these challenges included in the book are: increasing levels of abstraction for programming constructs, increasing levels of software reuse, increasing levels of automation, optimizing software development cycles. The book provides a platform for communication between researchers, young and established, and practitioners.