How To Make Sense Of Empirical Software Engineering Data
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How To Make Sense Of Empirical Software Engineering Data
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Author : Susanne Hartkopf
language : en
Publisher:
Release Date : 1998
How To Make Sense Of Empirical Software Engineering Data written by Susanne Hartkopf and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.
Contemporary Empirical Methods In Software Engineering
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Author : Michael Felderer
language : en
Publisher: Springer Nature
Release Date : 2020-08-27
Contemporary Empirical Methods In Software Engineering written by Michael Felderer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-27 with Computers categories.
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.
Guide To Advanced Empirical Software Engineering
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Author : Forrest Shull
language : en
Publisher: Springer
Release Date : 2010-10-13
Guide To Advanced Empirical Software Engineering written by Forrest Shull and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-13 with Computers categories.
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
Foundations Of Empirical Software Engineering
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Author : Barry Boehm
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-05-13
Foundations Of Empirical Software Engineering written by Barry Boehm and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-13 with Computers categories.
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
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Author : Forrest Shull
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-11-21
Guide To Advanced Empirical Software Engineering written by Forrest Shull and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-21 with Computers categories.
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
Lecture Notes On Empirical Software Engineering
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Author : Natalia Juristo
language : en
Publisher: World Scientific
Release Date : 2003-03-05
Lecture Notes On Empirical Software Engineering written by Natalia Juristo and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-03-05 with Computers categories.
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.
Research And Evidence In Software Engineering
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Author : Varun Gupta
language : en
Publisher: CRC Press
Release Date : 2021-06-15
Research And Evidence In Software Engineering written by Varun Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Computers categories.
Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts introduces advanced software engineering to software engineers, scientists, postdoctoral researchers, academicians, software consultants, management executives, doctoral students, and advanced level postgraduate computer science students. This book contains research articles addressing numerous software engineering research challenges associated with various software development-related activities, including programming, testing, measurements, human factors (social software engineering), specification, quality, program analysis, software project management, and more. It provides relevant theoretical frameworks, empirical research findings, and evaluated solutions addressing the research challenges associated with the above-mentioned software engineering activities. To foster collaboration among the software engineering research community, this book also reports datasets acquired systematically through scientific methods and related to various software engineering aspects that are valuable to the research community. These datasets will allow other researchers to use them in their research, thus improving the quality of overall research. The knowledge disseminated by the research studies contained in the book will hopefully motivate other researchers to further innovation in the way software development happens in real practice.
A Framework For Understanding And Evaluating The Quality Of Data Sets In Empirical Software Engineering
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Author : Marshima B. Mohd Rosli
language : en
Publisher:
Release Date : 2018
A Framework For Understanding And Evaluating The Quality Of Data Sets In Empirical Software Engineering written by Marshima B. Mohd Rosli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Database management categories.
Software engineering data sets provide valuable information related to software development and the evolution of software projects. Researchers often obtain software engineering data sets from public data repositories, which contain data and metadata about software development artefacts, such as the bug reports and source code. Typically, the term data refers to measurements associated with metrics and entities, whereas the term metadata describes the meaning and context of the data. However, there is growing concern regarding the quality of such data sets because they can lead to questionable empirical results if the data is of poor quality. Researchers, who are the creators of data sets, describe the data and metadata in many different ways. This creates challenges that make it difficult to interpret data sets or to report clearly the quality of data. Moreover, researchers intending to use data sets from public data repositories rely on their quality. Although many techniques have been proposed in the literature to resolve the challenges associated with data quality, there is a lack of research that evaluates the quality of data sets in public data repositories. The main research question in this study is, ‘How can we help researchers to understand the quality of data sets in software engineering?’ Hence, the aim of the study was to develop a data quality assessment framework to interpret the data sets better and evaluate their quality. The framework will allow researchers to understand the quality of data and identify any potential problems that may be present in a data set. The research was organised into six steps. The first step was a review of data quality in software engineering. The results of a systematic mapping study carried out as part of the review showed that many definitions of data quality issues are unclear because of the inconsistent terminology used in these definitions. The second step was an observation of existing and artificial data sets to explore their different formats and structures. The results from the observation of data sets indicated that few data sets contain metadata to describe what the data mean, which might lead to misinterpretation. The third step was designing a metamodel to describe the structure and concepts associated with data sets, and the relationships between each concept. Every concept in the metamodel is defined using standard terminology to allow common interpretation of data. The fourth step involved developing a framework for data quality assessment to determine whether a data set contains sufficient information to facilitate the correct interpretation of data. The fifth step was constructing formal guidelines for the creation of good-quality data sets. The guidelines were constructed based on the essential terminology of the dataset metamodel and procedures from the framework. The final step consisted of the evaluation of part of the framework by means of a user study. The part of the framework consists of definitions of elements in the dataset metamodel and formal definitions for data quality issues. The research makes four significant contributions which are: (i) a systematic mapping study on data quality in software engineering. (ii) a dataset metamodel for describing the structure of data sets. (iii) a data quality assessment framework to better understand the quality of data sets. (iv) formal guidelines for creating good-quality data sets.
Empirical Methods And Studies In Software Engineering
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Author : Reidar Conradi
language : en
Publisher: Springer
Release Date : 2003-08-20
Empirical Methods And Studies In Software Engineering written by Reidar Conradi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-20 with Computers categories.
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.
Experimentation In Software Engineering
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Author : Claes Wohlin
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-06-16
Experimentation In Software Engineering written by Claes Wohlin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-16 with Computers categories.
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.