Sharing Data And Models In Software Engineering

Book Description :

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

Book Description :

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

Book Description :

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.

Book Description :

This book provides a single source of reference for educators interested in understanding how industry-based ideas have been adapted into different educational contexts, and supports their utilisation in practice. The link between industry-based ideas and their application in education has enabled educators to develop engaging, collaborative, and creative learning environments, as well as better preparing their students for an increasingly complex and dynamic global environment. This book includes contributions from educators, researchers, and practitioners, who have integrated industry-based ideas into their teaching, and explores how these concepts and practices support the creation of effective learning environments. Through these diverse, international contributions, this book enables wider engagement with, and critical analysis of, the application of industry practices, processes and techniques in the development of collaborative and creative learning environments.

Book Description :

"This book disseminates knowledge on modern information technology applications in air transportation useful to professionals, researchers, and academicians"--Provided by publisher.

Book Description :

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

Book Description :

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.

Book Description :

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.

Book Description :

The four-volume set LNCS 11244, 11245, 11246, and 11247 constitutes the refereed proceedings of the 8th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2018, held in Limassol, Cyprus, in October/November 2018. The papers presented were carefully reviewed and selected for inclusion in the proceedings. Each volume focusses on an individual topic with topical section headings within the volume: Part I, Modeling: Towards a unified view of modeling and programming; X-by-construction, STRESS 2018. Part II, Verification: A broader view on verification: from static to runtime and back; evaluating tools for software verification; statistical model checking; RERS 2018; doctoral symposium. Part III, Distributed Systems: rigorous engineering of collective adaptive systems; verification and validation of distributed systems; and cyber-physical systems engineering. Part IV, Industrial Practice: runtime verification from the theory to the industry practice; formal methods in industrial practice - bridging the gap; reliable smart contracts: state-of-the-art, applications, challenges and future directions; and industrial day.

Book Description :

Geographical Information is essential for the layout, planning and management of space, and involves taxation, cadastral data bases, environmental policy, water management, maintenance and protection of pipeline systems, terrain modelling and the making of maps. The third European conference brought together some 300 speakers and authors from academia, industry and government. The resulting monumental work is representative for the state-of-the-art of knowledge and information on Geographical Information.

Book Description :

This book seeks to promote the structured, standardized and accurate use of software measurement at all levels of modern software development companies. To do so, it focuses on seven main aspects: sound scientific foundations, cost-efficiency, standardization, value-maximization, flexibility, combining organizational and technical aspects, and seamless technology integration. Further, it supports companies in their journey from manual reporting to automated decision support by combining academic research and industrial practice. When scientists and engineers measure something, they tend to focus on two different things. Scientists focus on the ability of the measurement to quantify whatever is being measured; engineers, however, focus on finding the right qualities of measurement given the designed system (e.g. correctness), the system’s quality of use (e.g. ease of use), and the efficiency of the measurement process. In this book, the authors argue that both focuses are necessary, and that the two are complementary. Thus, the book is organized as a gradual progression from theories of measurement (yes, you need theories to be successful!) to practical, organizational aspects of maintaining measurement systems (yes, you need the practical side to understand how to be successful). The authors of this book come from academia and industry, where they worked together for the past twelve years. They have worked with both small and large software development organizations, as researchers and as measurement engineers, measurement program leaders and even teachers. They wrote this book to help readers define, implement, deploy and maintain company-wide measurement programs, which consist of a set of measures, indicators and roles that are built around the concept of measurement systems. Based on their experiences introducing over 40,000 measurement systems at over a dozen companies, they share essential tips and tricks on how to do it right and how to avoid common pitfalls.

Book Description :

This book constitutes the thoroughly refereed post-proceedings of the International Dagstuhl-Seminar on Empirical Software Engineering, held in Dagstuhl Castle, Germany in June 2006. The 54 revised full papers in this state-of-the-art survey are organized in topical sections on the empirical paradigm, measurement and model building, technology transfer and education, as well as roadmapping.

Book Description :

Modeling is a key component to sciences from mathematics to life science, including environmental and ecological studies. By looking at the underlying concepts of the software, we can make sure that we build mathematically feasible models and that we get the most out of the data and information that we have. Systems Science and Modeling for Ecological Economics shows how models can be analyzed using simple math and software to generate meaningful qualitative descriptions of system dynamics. This book shows that even without a full analytical, mathematically rigorous analysis of the equations, there may be ways to derive some qualitative understanding of the general behavior of a system. By relating some of the modeling approaches and systems theory to real-world examples the book illustrates how these approaches can help understand concepts such as sustainability, peak oil, adaptive management, optimal harvest and other practical applications. Relates modeling approaches and systems theory to real-world examples Teaches students to build mathematically feasible models and get the most out of the data and information available Wide range of applications in hydrology, population dynamics, market cycles, sustainability theory, management, and more

Book Description :

Knowledge in its pure state is tacit in nature—difficult to formalize and communicate—but can be converted into codified form and shared through both social interactions and the use of IT-based applications and systems. Even though there seems to be considerable synergies between the resulting huge data and the convertible knowledge, there is still a debate on how the increasing amount of data captured by corporations could improve decision making and foster innovation through effective knowledge-sharing practices. Big Data and Knowledge Sharing in Virtual Organizations provides innovative insights into the influence of big data analytics and artificial intelligence and the tools, methods, and techniques for knowledge-sharing processes in virtual organizations. The content within this publication examines cloud computing, machine learning, and knowledge sharing. It is designed for government officials and organizations, policymakers, academicians, researchers, technology developers, and students.

Book Description :

Download Advanced Concepts Life Cycle Models and Tools for Object oriented Software Development book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Book Description :

The aims of these proceedings are to provide a complete coverage of the areas outlined, and to bring together researchers from academic and industry to share ideas, challenges, and solutions relating to the multifaceted aspects of this field. New multimedia standards (for example, MPEG-21) facilitate the seamless integration of multiple modalities into interoperable multimedia frameworks, transforming the way people work and interact with multimedia data. These key technologies and multimedia solutions interact and collaborate with each other in increasingly effective ways, contributing to the multimedia revolution and having a significant impact across a wide spectrum of consumer, business, healthcare, education, and governmental domains.

Book Description :

Knowledge and Technology Integration in Production and Services presents novel application scenarios for balanced distributed and integrated systems based on knowledge and up-to-date technology and provides a great opportunity for discussion of concepts, models, methodologies, technological developments, case studies, new research ideas, and other results among specialists. It comprises the proceedings of the Fifth International Conference on Information Technology for BALANCED AUTOMATION SYSTEMS in Manufacturing and Services (BASYS'02), which was sponsored by the International Federation for Information Processing (IFIP) and held in September 2002 in Cancun, Mexico.

Book Description :

This text contains the proceedings of a workshop on software develoDment tools, held at Pingree Park, Colorado in May, 1979. The workshop, for which we were co-chair men, was primarily, but not exclusively, concerned with a variety of tools supporting pre-implementation phases of software development. The workshop brought together researchers and practitioners from industrial, governmental, and academic sectors to compare and assess current work and to set some directions for future work in this emerging technical area. The fifty participants represented research and development efforts in software tools within the United States, Canada, France, Great Britain, and Japan. (A list of participants appears at the end of the text. ) Sponsorship was provided by the National Aeronautics and Space Administration, the National Bureau of Standards, the National Science Foundation, and Digital Equipment Corporation. The conference consisted of seven formal sessions and numerous organized and impromptu discussions. Each session (except the last) included invited papers, prepared remarks by discussants, and an open discussion.

Book Description :

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.

Book Description :

Multicore software development is growing in importance and applicability in many areas of embedded systems from automotive to networking, to wireless base stations. This chapter is a summary of key sections of the recently released Multicore Programming Practices (MPP) from the Multicore Association (MCA). The MPP standardized “best practices” guide is written specifically for engineers and engineering managers of companies considering or implementing a development project involving multicore processors and favoring use of existing multicore technology. There is an important need to better understand how today’s C/C++ code may be written to be “multicore ready”, and this was accomplished under the influence of the MPP working group. The guide will enable you to (a) produce higher-performing software; (b) reduce the bug rate due to multicore software issues; (c) develop portable multicore code which can be targeted at multiple platforms; (d) reduce the multicore programming learning curve and speed up development time; and (e) tie into the current structure and roadmap of the Multicore Association’s API infrastructure.