Perspectives on Data Science for Software Engineering

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  • Author : Tim Menzies
  • Publisher : Morgan Kaufmann
  • Pages : 408 pages
  • ISBN : 0128042613
  • Rating : 5/5 from 1 reviews
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Download or Read online Perspectives on Data Science for Software Engineering full in PDF, ePub and kindle. this book written by Tim Menzies and published by Morgan Kaufmann which was released on 14 July 2016 with total page 408 pages. We cannot guarantee that Perspectives on Data Science for Software Engineering book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Perspectives on Data Science for Software Engineering

Perspectives on Data Science for Software Engineering
  • Author : Tim Menzies,Laurie Williams,Thomas Zimmermann
  • Publisher : Morgan Kaufmann
  • Release : 14 July 2016
GET THIS BOOK Perspectives on Data Science for Software Engineering

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

Microservices in Big Data Analytics

Microservices in Big Data Analytics
  • Author : Anil Chaudhary,Chothmal Choudhary,Mukesh Kumar Gupta,Chhagan Lal,Tapas Badal
  • Publisher : Springer Nature
  • Release : 26 November 2019
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These proceedings gather cutting-edge papers exploring the principles, techniques, and applications of Microservices in Big Data Analytics. The ICETCE-2019 is the latest installment in a successful series of annual conferences that began in 2011. Every year since, it has significantly contributed to the research community in the form of numerous high-quality research papers. This year, the conference’s focus was on the highly relevant area of Microservices in Big Data Analytics.

Contemporary Empirical Methods in Software Engineering

Contemporary Empirical Methods in Software Engineering
  • Author : Michael Felderer,Guilherme Horta Travassos
  • Publisher : Springer Nature
  • Release : 27 August 2020
GET THIS BOOK Contemporary Empirical Methods in Software Engineering

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

Artificial Intelligence Methods For Software Engineering

Artificial Intelligence Methods For Software Engineering
  • Author : Meir Kalech,Rui Abreu,Mark Last
  • Publisher : World Scientific
  • Release : 15 June 2021
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Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engineering (SE).Artificial Intelligence (AI) is a growing field in computer science that has been proven effective in applying and developing AI techniques to address various SE challenges.This unique compendium covers applications of state-of-the-art AI techniques to the key areas of SE (design, development, debugging, testing, etc).All the materials presented are up-to-date. This

Rethinking Productivity in Software Engineering

Rethinking Productivity in Software Engineering
  • Author : Caitlin Sadowski,Thomas Zimmermann
  • Publisher : Apress
  • Release : 07 May 2019
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Get the most out of this foundational reference and improve the productivity of your software teams. This open access book collects the wisdom of the 2017 "Dagstuhl" seminar on productivity in software engineering, a meeting of community leaders, who came together with the goal of rethinking traditional definitions and measures of productivity. The results of their work, Rethinking Productivity in Software Engineering, includes chapters covering definitions and core concepts related to productivity, guidelines for measuring productivity in specific contexts, best practices

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Computational Management
  • Author : Srikanta Patnaik,Kayhan Tajeddini,Vipul Jain
  • Publisher : Springer Nature
  • Release : 29 May 2021
GET THIS BOOK Computational Management

This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.

Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry

Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry
  • Author : Chkoniya, Valentina
  • Publisher : IGI Global
  • Release : 25 June 2021
GET THIS BOOK Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry

The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations

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Web Information Systems and Technologies
  • Author : María José Escalona,Francisco Domínguez Mayo,Tim A. Majchrzak,Valérie Monfort
  • Publisher : Springer Nature
  • Release : 16 January 2020
GET THIS BOOK Web Information Systems and Technologies

This book constitutes revised selected papers from the 14th International Conference on Web Information Systems and Technologies, WEBIST 2018, held in Seville, Spain, in September 2018. The purpose of the WEBIST series of conferences is to bring together researches, engineers and practitioners interested in technological advances and business applications of web-based information systems. The 12 full papers presented in this volume were carefully reviewed and selected from originally 68 paper submissions. They cover different aspects of Web information systems, namely internet technology, mobile and

Advances in Information Systems Development

Advances in Information Systems Development
  • Author : Bo Andersson,Björn Johansson,Chris Barry,Michael Lang,Henry Linger,Christoph Schneider
  • Publisher : Springer
  • Release : 02 August 2019
GET THIS BOOK Advances in Information Systems Development

This volume features a collection of papers on emerging concepts, significant insights, novel approaches and ideas in information systems research. It examines advances in information systems development in general, and their impact on the development of new methods, tools and management. The book contains invited papers selected from the 27th International Conference on Information Systems Development (ISD) held in Lund, Sweden, August 22 - 24, 2018. The revised and expanded papers present research that focuses on methods, tools and management in information systems

Evaluation of Novel Approaches to Software Engineering

Evaluation of Novel Approaches to Software Engineering
  • Author : Raian Ali,Hermann Kaindl,Leszek A. Maciaszek
  • Publisher : Springer Nature
  • Release : 26 February 2021
GET THIS BOOK Evaluation of Novel Approaches to Software Engineering

This book constitutes selected, revised and extended papers of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2020, held in virtual format, in May 2020. The 19 revised full papers presented were carefully reviewed and selected from 96 submissions. The papers included in this book contribute to the understanding of relevant trends of current research on novel approaches to software engineering for the development and maintenance of systems and applications, specically with relation to: model-driven software engineering, requirements engineering,

Practitioner s Guide to Data Science

Practitioner   s Guide to Data Science
  • Author : Nasir Ali Mirza
  • Publisher : BPB Publications
  • Release : 17 January 2022
GET THIS BOOK Practitioner s Guide to Data Science

Covers Data Science concepts, processes, and the real-world hands-on use cases. KEY FEATURES ● Covers the journey from a basic programmer to an effective Data Science developer. ● Applied use of Data Science native processes like CRISP-DM and Microsoft TDSP. ● Implementation of MLOps using Microsoft Azure DevOps. DESCRIPTION "How is the Data Science project to be implemented?" has never been more conceptually sounding, thanks to the work presented in this book. This book provides an in-depth look at the current state of

Managerial Perspectives on Intelligent Big Data Analytics

Managerial Perspectives on Intelligent Big Data Analytics
  • Author : Sun, Zhaohao
  • Publisher : IGI Global
  • Release : 22 February 2019
GET THIS BOOK Managerial Perspectives on Intelligent Big Data Analytics

Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective

Knowledge Management in the Development of Data Intensive Systems

Knowledge Management in the Development of Data Intensive Systems
  • Author : Ivan Mistrik,Matthias Galster,Bruce R. Maxim,Bedir Tekinerdogan
  • Publisher : CRC Press
  • Release : 15 June 2021
GET THIS BOOK Knowledge Management in the Development of Data Intensive Systems

Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new

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Product Focused Software Process Improvement
  • Author : Maurizio Morisio,Marco Torchiano,Andreas Jedlitschka
  • Publisher : Springer Nature
  • Release : 20 November 2020
GET THIS BOOK Product Focused Software Process Improvement

This book constitutes the refereed proceedings of the 21st International Conference on Product-Focused Software Process Improvement, PROFES 2020, held in Turin, Italy, in November 2020. Due to COVID-19 pandemic the conference was held virtually. The 19 revised full papers and 3 short papers presented were carefully reviewed and selected from 68 submissions. The papers cover a broad range of topics related to professional software development and process improvement driven by product and service quality needs. They are organized in topical sections on Agile Software Development.

Advances in Production Management Systems Towards Smart and Digital Manufacturing

Advances in Production Management Systems  Towards Smart and Digital Manufacturing
  • Author : Bojan Lalic,Vidosav Majstorovic,Ugljesa Marjanovic,Gregor von Cieminski,David Romero
  • Publisher : Springer Nature
  • Release : 25 August 2020
GET THIS BOOK Advances in Production Management Systems Towards Smart and Digital Manufacturing

The two-volume set IFIP AICT 591 and 592 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2020, held in Novi Sad, Serbia, in August/September 2020. The 164 papers presented were carefully reviewed and selected from 199 submissions. They discuss globally pressing issues in smart manufacturing, operations management, supply chain management, and Industry 4.0. The papers are organized in the following topical sections: Part I: advanced modelling, simulation and data analytics in production and supply networks; advanced, digital