The Art and Science of Analyzing Software Data

Produk Detail:
  • Author : Christian Bird
  • Publisher : Elsevier
  • Pages : 672 pages
  • ISBN : 0124115438
  • Rating : /5 from reviews
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Download or Read online The Art and Science of Analyzing Software Data full in PDF, ePub and kindle. this book written by Christian Bird and published by Elsevier which was released on 02 September 2015 with total page 672 pages. We cannot guarantee that The Art and Science of Analyzing Software Data 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. 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

The Art and Science of Analyzing Software Data

The Art and Science of Analyzing Software Data
  • Author : Christian Bird,Tim Menzies,Thomas Zimmermann
  • Publisher : Elsevier
  • Release : 02 September 2015
GET THIS BOOK The Art and Science of Analyzing Software Data

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

Product Focused Software Process Improvement

Product Focused Software Process Improvement
  • Author : Michael Felderer,Daniel Méndez Fernández,Burak Turhan,Marcos Kalinowski,Federica Sarro,Dietmar Winkler
  • Publisher : Springer
  • Release : 10 November 2017
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This book constitutes the refereed proceedings of the 18th International Conference on Product-Focused Software Process Improvement, PROFES 2017, held in Innsbruck, Austria, in November/December 2017. The 17 revised full papers presented together with 10 short papers, 21 workshop papers. 3 posters and tool demonstrations papers, and 4 tutorials were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on : Agile software Development; Data science and analytics; Software engineering processes and frameworks; Industry relevant qualitative research; User and value centric approaches; Software startups;

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
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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

Sharing Data and Models in Software Engineering

Sharing Data and Models in Software Engineering
  • Author : Tim Menzies,Ekrem Kocaguneli,Burak Turhan,Leandro Minku,Fayola Peters
  • Publisher : Morgan Kaufmann
  • Release : 22 December 2014
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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

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

Empirical Research for Software Security

Empirical Research for Software Security
  • Author : Lotfi ben Othmane,Martin Gilje Jaatun,Edgar Weippl
  • Publisher : CRC Press
  • Release : 28 November 2017
GET THIS BOOK Empirical Research for Software Security

Developing secure software requires the integration of numerous methods and tools into the development process, and software design is based on shared expert knowledge, claims, and opinions. Empirical methods, including data analytics, allow extracting knowledge and insights from the data that organizations collect from their processes and tools, and from the opinions of the experts who practice these processes and methods. This book introduces the reader to the fundamentals of empirical research methods, and demonstrates how these methods can be

Evaluation of Novel Approaches to Software Engineering

Evaluation of Novel Approaches to Software Engineering
  • Author : Ernesto Damiani,George Spanoudakis,Leszek A. Maciaszek
  • Publisher : Springer Nature
  • Release : 08 February 2020
GET THIS BOOK Evaluation of Novel Approaches to Software Engineering

This book constitutes the refereed proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2019, held in Heraklion, Crete, Greece, in May 2019. The 19 revised full papers presented were carefully reviewed and selected from 102 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, empirical

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
GET THIS BOOK Artificial Intelligence Methods For Software Engineering

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

Handbook of Software Engineering

Handbook of Software Engineering
  • Author : Sungdeok Cha,Richard N. Taylor,Kyochul Kang
  • Publisher : Springer
  • Release : 11 February 2019
GET THIS BOOK Handbook of Software Engineering

This handbook provides a unique and in-depth survey of the current state-of-the-art in software engineering, covering its major topics, the conceptual genealogy of each subfield, and discussing future research directions. Subjects include foundational areas of software engineering (e.g. software processes, requirements engineering, software architecture, software testing, formal methods, software maintenance) as well as emerging areas (e.g., self-adaptive systems, software engineering in the cloud, coordination technology). Each chapter includes an introduction to central concepts and principles, a guided tour

Search Based Software Engineering

Search Based Software Engineering
  • Author : Shiva Nejati,Gregory Gay
  • Publisher : Springer Nature
  • Release : 26 September 2019
GET THIS BOOK Search Based Software Engineering

This book constitutes the refereed proceedings of the 11th International Symposium on Search-Based Software Engineering, SSBSE 2019, held in Tallinn, Estonia, in August/September 2019. The 9 research papers and 3 short papers presented together with 1 keynote and 1 challenge paper were carefully reviewed and selected from 28 submissions. SSBSE is a research area focused on the formulation of software engineering problems as search problems, and the subsequent use of complex heuristic techniques to attain optimal solutions to such problems. A wealth of engineering challenges -

Leveraging Applications of Formal Methods Verification and Validation Discussion Dissemination Applications

Leveraging Applications of Formal Methods  Verification and Validation  Discussion  Dissemination  Applications
  • Author : Tiziana Margaria,Bernhard Steffen
  • Publisher : Springer
  • Release : 04 October 2016
GET THIS BOOK Leveraging Applications of Formal Methods Verification and Validation Discussion Dissemination Applications

The two-volume set LNCS 9952 and LNCS 9953 constitutes the refereed proceedings of the 7th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2016, held in Imperial, Corfu, Greece, in October 2016. The papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. Featuring a track introduction to each section, the papers are organized in topical sections named: statistical model checking; evaluation and reproducibility of program analysis and verification; ModSyn-PP: modular synthesis of programs and

Semantic Computing

Semantic Computing
  • Author : Sheu Phillip Chen-yu
  • Publisher : World Scientific Publishing Company
  • Release : 31 May 2012
GET THIS BOOK Semantic Computing

As the first volume of World Scientific Encyclopedia with Semantic Computing and Robotic Intelligence, this volume is designed to lay the foundation for the understanding of the Semantic Computing (SC), as a core concept to study Robotic Intelligence in the subsequent volumes. This volume aims to provide a reference to the development of Semantic Computing, in the terms of "meaning", "context", and "intention". It brings together a series of technical notes, in average, no longer than 10 pages in length, each

Software Source Code

Software Source Code
  • Author : Raghavendra Rao Althar,Debabrata Samanta,Debanjan Konar,Siddhartha Bhattacharyya
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 19 July 2021
GET THIS BOOK Software Source Code

This book will focus on utilizing statistical modelling of the software source code, in order to resolve issues associated with the software development processes. Writing and maintaining software source code is a costly business; software developers need to constantly rely on large existing code bases. Statistical modelling identifies the patterns in software artifacts and utilize them for predicting the possible issues.

Advances in Conceptual Modeling

Advances in Conceptual Modeling
  • Author : Giancarlo Guizzardi,Frederik Gailly,Rita Suzana Pitangueira Maciel
  • Publisher : Springer Nature
  • Release : 26 October 2019
GET THIS BOOK Advances in Conceptual Modeling

This book constitutes the refereed proceedings of five workshops symposia, held at the 38th International Conference on Conceptual Modeling, ER 2019, in Salvador, Brazil, in November 2019. The 34 papers promote and disseminate research on theories of concepts underlying conceptual modeling, methods and tools for developing and communicating conceptual models, techniques for transforming conceptual models into effective implementations, and the impact of conceptual modeling techniques on databases, business strategies and information systems. The following workshops are included in this volume: Workshop on Conceptual