Sharing Data And Models In Software Engineering
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Sharing Data And Models In Software Engineering
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Author : Tim Menzies
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-12-22
Sharing Data And Models In Software Engineering written by Tim Menzies and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-22 with Computers categories.
Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects. Shares the specific experience of leading researchers and techniques developed to handle data problems in the realm of software engineering Explains how to start a project of data science for software engineering as well as how to identify and avoid likely pitfalls Provides a wide range of useful qualitative and quantitative principles ranging from very simple to cutting edge research Addresses current challenges with software engineering data such as lack of local data, access issues due to data privacy, increasing data quality via cleaning of spurious chunks in data
Sharing Research Models
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Author : Stephanie P. Bryant
language : en
Publisher: RTI Press
Release Date : 2011-02-28
Sharing Research Models written by Stephanie P. Bryant and has been published by RTI Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-28 with Computers categories.
Increasingly, researchers are turning to computational models to understand the interplay of important variables on systems' behaviors. Although researchers may develop models that meet the needs of their investigation, application limitations—such as nonintuitive user interface features and data input specifications—may limit the sharing of these tools with other research groups. By removing these barriers, other research groups that perform related work can leverage these work products to expedite their own investigations. The use of software engineering practices can enable managed application production and shared research artifacts among multiple research groups by promoting consistent models, reducing redundant effort, encouraging rigorous peer review, and facilitating research collaborations that are supported by a common toolset. This report discusses three established software engineering practices—the iterative software development process, object-oriented methodology, and unified modeling language—and the applicability of these practices to computational model development. Our efforts to modify the MIDAS TranStat application to make it more user-friendly are presented as an example of how computational models that are based on research and developed using software engineering practices can benefit a broader audience of researchers.
Distributed Software Engineering
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Author : C. W. Loftus
language : en
Publisher: Prentice Hall PTR
Release Date : 1995
Distributed Software Engineering written by C. W. Loftus and has been published by Prentice Hall PTR this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Electronic data processing categories.
Distributed Software Engineering provides practical suggestions, guidelines and rules for meeting the increasingly important requirement of developing software by the collaboration of independent organisations, partly independent organisations and teleworkers. A key theme is the controlled sharing of project information, which may be geographically distributed across diverse networks and computing environments. Distributed Software Engineering explores distributed, collaborative software engineering using experiments and case studies.
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.
Perspectives On Data Science For Software Engineering
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Author : Tim Menzies
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-07-14
Perspectives On Data Science For Software Engineering written by Tim Menzies and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-14 with Computers categories.
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
Computational Models Software Engineering And Advanced Technologies In Air Transportation Next Generation Applications
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Author : Weigang, Li
language : en
Publisher: IGI Global
Release Date : 2009-10-31
Computational Models Software Engineering And Advanced Technologies In Air Transportation Next Generation Applications written by Weigang, Li and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-31 with Computers categories.
"This book disseminates knowledge on modern information technology applications in air transportation useful to professionals, researchers, and academicians"--Provided by publisher.
Engineering Agile Big Data Systems
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Author : Kevin Feeney
language : en
Publisher: CRC Press
Release Date : 2022-09-01
Engineering Agile Big Data Systems written by Kevin Feeney and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-01 with Computers categories.
To be effective, data-intensive systems require extensive ongoing customisation to reflect changing user requirements, organisational policies, and the structure and interpretation of the data they hold. Manual customisation is expensive, time-consuming, and error-prone. In large complex systems, the value of the data can be such that exhaustive testing is necessary before any new feature can be added to the existing design. In most cases, the precise details of requirements, policies and data will change during the lifetime of the system, forcing a choice between expensive modification and continued operation with an inefficient design.Engineering Agile Big-Data Systems outlines an approach to dealing with these problems in software and data engineering, describing a methodology for aligning these processes throughout product lifecycles. It discusses tools which can be used to achieve these goals, and, in a number of case studies, shows how the tools and methodology have been used to improve a variety of academic and business systems.
The Art And Science Of Analyzing Software Data
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Author : Christian Bird
language : en
Publisher: Elsevier
Release Date : 2015-09-02
The Art And Science Of Analyzing Software Data written by Christian Bird and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-02 with Computers categories.
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
Software Engineering Environments
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Author : Fred W. Long
language : en
Publisher: Springer Science & Business Media
Release Date : 1990-11-28
Software Engineering Environments written by Fred W. Long 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 1990-11-28 with Computers categories.
Report on the process session at chinon -- An introduction to the IPSE 2.5 project -- TRW's SEE sage -- MASP: A model for assisted software processes -- Goal oriented decomposition -- Its application for process modelling in the PIMS project -- A metaphor and a conceptual architecture for software development environments -- Configuration management with the NSE -- Experiments with rule based process modelling in an SDE -- Principles of a reference model for computer aided software engineering environments -- An overview of the inscape environment -- Tool integration in software engineering environments -- The PCTE contribution to Ada programming support environments (APSE) -- The Tooluse approach to integration -- An experimental Ada programming support environment in the HP CASEdge integration framework -- Experience and conclusions from the system engineering environment prototype PROSYT -- Issues in designing object management systems -- Experiencing the next generation computing environment -- Group paradigms in discretionary access controls for object management systems -- Typing in an object management system (OMS) -- Environment object management technology: Experiences, opportunities and risks -- Towards formal description and automatic generation of programming environments -- Use and extension of PCTE : The SPMMS information system -- User interface session -- CENTAUR: Towards a "software tool box" for programming environments -- List of participants.
Environmental Modelling Software And Decision Support
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Author : Anthony J. Jakeman
language : en
Publisher: Elsevier
Release Date : 2008-09-11
Environmental Modelling Software And Decision Support written by Anthony J. Jakeman and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-11 with Science categories.
The complex and multidisciplinary nature of environmental problems requires that they are dealt with in an integrated manner. Modeling and software have become key instruments used to promote sustainability and improve environmental decision processes, especially through systematic integration of various knowledge and data and their ability to foster learning and help make predictions. This book presents the current state-of-the-art in environmental modeling and software and identifies the future challenges in the field. State-of-the-art in environmental modeling and software theory and practice for integrated assessment and management serves as a starting point for researchers Identifies the areas of research and practice required for advancing the requisite knowledge base and tools, and their wider usage Best practices of environmental modeling enables the reader to select appropriate software and gives the reader tools to integrate natural system dynamics with human dimensions