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 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

Produk Detail:

  • Author : Christian Bird
  • Publisher : Elsevier
  • Pages : 672 pages
  • ISBN : 0124115438
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKThe Art and Science of Analyzing Software Data

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 BOOKThe 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
GET THIS BOOKProduct-Focused Software Process Improvement

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;

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
GET THIS BOOKSharing Data and Models in Software Engineering

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

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 BOOKLeveraging 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

Handbook of Software Engineering

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

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 BOOKPerspectives 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

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 BOOKContemporary 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

Semantic Computing

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

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 BOOKArtificial 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

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 BOOKEmpirical 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 : Raian Ali,Hermann Kaindl,Leszek A. Maciaszek
  • Publisher : Springer Nature
  • Release : 26 February 2021
GET THIS BOOKEvaluation 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,

Advances in Conceptual Modeling

Advances in Conceptual Modeling
  • Author : Georg Grossmann,Sudha Ram
  • Publisher : Springer Nature
  • Release : 21 December 2020
GET THIS BOOKAdvances in Conceptual Modeling

This book constitutes the refereed proceedings of five workshops symposia, held at the 39th International Conference on Conceptual Modeling, ER 2020, which were supposed to be held in Vienna, Austria, in November 2020, but were held virtually due to the COVID-19 pandemic instead. The 20 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,

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 BOOKAdvances 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

The Book of R

The Book of R
  • Author : Tilman M. Davies
  • Publisher : No Starch Press
  • Release : 16 July 2016
GET THIS BOOKThe Book of R

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of