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The Art And Science Of Analyzing Software Data

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The Art and Science of Analyzing Software Data

The Art and Science of Analyzing Software Data Book
Author : Christian Bird,Tim Menzies,Thomas Zimmermann
Publisher : Elsevier
Release : 2015-09-02
ISBN : 0124115438
Language : En, Es, Fr & De

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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

The Art and Science of Analyzing Software Data Analysis Patterns

The Art and Science of Analyzing Software Data  Analysis Patterns Book
Author : Anonim
Publisher : Unknown
Release : 2021-09-22
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download The Art and Science of Analyzing Software Data Analysis Patterns book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Product Focused Software Process Improvement

Product Focused Software Process Improvement Book
Author : Michael Felderer,Daniel Méndez Fernández,Burak Turhan,Marcos Kalinowski,Federica Sarro,Dietmar Winkler
Publisher : Springer
Release : 2017-11-10
ISBN : 3319699261
Language : En, Es, Fr & De

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Book Description :

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; Serum; Software testing.

Perspectives on Data Science for Software Engineering

Perspectives on Data Science for Software Engineering Book
Author : Tim Menzies,Laurie Williams,Thomas Zimmermann
Publisher : Morgan Kaufmann
Release : 2016-07-14
ISBN : 0128042613
Language : En, Es, Fr & De

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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

Sharing Data and Models in Software Engineering

Sharing Data and Models in Software Engineering Book
Author : Tim Menzies,Ekrem Kocaguneli,Burak Turhan,Leandro Minku,Fayola Peters
Publisher : Morgan Kaufmann
Release : 2014-12-22
ISBN : 0124173071
Language : En, Es, Fr & De

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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

Contemporary Empirical Methods in Software Engineering

Contemporary Empirical Methods in Software Engineering Book
Author : Michael Felderer,Guilherme Horta Travassos
Publisher : Springer Nature
Release : 2020-08-27
ISBN : 3030324893
Language : En, Es, Fr & De

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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.

Empirical Research for Software Security

Empirical Research for Software Security Book
Author : Lotfi ben Othmane,Martin Gilje Jaatun,Edgar Weippl
Publisher : CRC Press
Release : 2017-11-28
ISBN : 1351650882
Language : En, Es, Fr & De

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Book Description :

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 used to hone a secure software development lifecycle based on empirical data and published best practices.

Evaluation of Novel Approaches to Software Engineering

Evaluation of Novel Approaches to Software Engineering Book
Author : Ernesto Damiani,George Spanoudakis,Leszek A. Maciaszek
Publisher : Springer Nature
Release : 2020-02-08
ISBN : 3030402231
Language : En, Es, Fr & De

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Book Description :

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 software engineering, service-oriented software engineering, business process management and engineering, knowledge management and engineering, reverse software engineering, software process improvement, software change and configuration management, software metrics, software patterns and refactoring, application integration, software architecture, cloud computing, and formal methods.

Artificial Intelligence Methods For Software Engineering

Artificial Intelligence Methods For Software Engineering Book
Author : Meir Kalech,Rui Abreu,Mark Last
Publisher : World Scientific
Release : 2021-06-15
ISBN : 9811239932
Language : En, Es, Fr & De

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Book Description :

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 reference text will benefit researchers, academics, professionals, and postgraduate students in AI, machine learning and software engineering.

Handbook of Software Engineering

Handbook of Software Engineering Book
Author : Sungdeok Cha,Richard N. Taylor,Kyochul Kang
Publisher : Springer
Release : 2019-02-11
ISBN : 3030002624
Language : En, Es, Fr & De

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Book Description :

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 of seminal papers and key contributions, and promising future research directions. The authors of the individual chapters are all acknowledged experts in their field and include many who have pioneered the techniques and technologies discussed. Readers will find an authoritative and concise review of each subject, and will also learn how software engineering technologies have evolved and are likely to develop in the years to come. This book will be especially useful for researchers who are new to software engineering, and for practitioners seeking to enhance their skills and knowledge.

Leveraging Applications of Formal Methods Verification and Validation Discussion Dissemination Applications

Leveraging Applications of Formal Methods  Verification and Validation  Discussion  Dissemination  Applications Book
Author : Tiziana Margaria,Bernhard Steffen
Publisher : Springer
Release : 2016-10-04
ISBN : 3319471694
Language : En, Es, Fr & De

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Book Description :

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 processes; semantic heterogeneity in the formal development of complex systems; static and runtime verification: competitors or friends?; rigorous engineering of collective adaptive systems; correctness-by-construction and post-hoc verification: friends or foes?; privacy and security issues in information systems; towards a unified view of modeling and programming; formal methods and safety certification: challenges in the railways domain; RVE: runtime verification and enforcement, the (industrial) application perspective; variability modeling for scalable software evolution; detecting and understanding software doping; learning systems: machine-learning in software products and learning-based analysis of software systems; testing the internet of things; doctoral symposium; industrial track; RERS challenge; and STRESS.

Semantic Computing

Semantic Computing Book
Author : Sheu Phillip Chen-yu
Publisher : World Scientific Publishing Company
Release : 2012-05-31
ISBN : 9813227931
Language : En, Es, Fr & De

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Book Description :

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 focuses on one topic in Semantic Computing; being review article or research paper, to explain the fundamental concepts, models or algorithms, and possible applications of the technology concerned. This volume will address three core areas in Semantic Computing: Understanding the (possibly naturally-expressed) intentions (semantics) of users and expressing them in a machine-processable format: Semantics description languages, ontology integration, interoperabilityUnderstanding the meanings (semantics) of computational content (of various sorts, including, but is not limited to, text, video, audio, process, network, software and hardware) and expressing them in a machine-processable format in Multimedia, IoT, SDN, wearable computing, interfacable with mobile computing, search engines, question answering, web services, to support applications in biomedicine, healthcare, manufacturing, engineering, education, finance, entertainment, business, science and humanityMapping the semantics of the user in context for content retrieval, management, creation in the form of structured data, image and video, audio and speech, big data, natural language, deep learning.

Software Source Code

Software Source Code Book
Author : Raghavendra Rao Althar,Debabrata Samanta,Debanjan Konar,Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
Release : 2021-07-19
ISBN : 311070353X
Language : En, Es, Fr & De

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Book Description :

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.

Artificial Intelligence in Financial Markets

Artificial Intelligence in Financial Markets Book
Author : Christian L. Dunis,Peter W. Middleton,Andreas Karathanasopolous,Konstantinos Theofilatos
Publisher : Springer
Release : 2016-11-21
ISBN : 1137488808
Language : En, Es, Fr & De

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Book Description :

As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field.

Evaluation of Novel Approaches to Software Engineering

Evaluation of Novel Approaches to Software Engineering Book
Author : Raian Ali,Hermann Kaindl,Leszek A. Maciaszek
Publisher : Springer Nature
Release : 2021-02-26
ISBN : 3030700062
Language : En, Es, Fr & De

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Book Description :

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, empirical software engineering, service-oriented software engineering, business process management and engineering, knowledge management and engineering, reverse software engineering, software process improvement, software change and configuration management, software metrics, software patterns and refactoring, application integration, software architecture, cloud computing, and formal methods.

Advances in Conceptual Modeling

Advances in Conceptual Modeling Book
Author : Georg Grossmann,Sudha Ram
Publisher : Springer Nature
Release : 2020-12-21
ISBN : 3030658473
Language : En, Es, Fr & De

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Book Description :

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, business strategies and information systems. The following workshops are included in this volume: First Workshop on Conceptual Modeling Meets Artificial Intelligence and Data-Driven Decision Making (CMAI); First International Workshop on Conceptual Modeling for Life Sciences (CMLS); Second Workshop on Conceptual Modeling, Ontologies and (Meta)data Management for Findable, Accessible, Interoperable and Reusable (FAIR) Data (CMOMM4FAIR); First Workshop on Conceptual Modeling for NoSQL Data Stores (CoMoNoS); and Third International Workshop on Empirical Methods in Conceptual Modeling (EmpER).

Product Focused Software Process Improvement

Product Focused Software Process Improvement Book
Author : Pekka Abrahamsson,Andreas Jedlitschka,Anh Nguyen Duc,Michael Felderer,Sousuke Amasaki,Tommi Mikkonen
Publisher : Springer
Release : 2016-11-15
ISBN : 331949094X
Language : En, Es, Fr & De

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Book Description :

This book constitutes the proceedings of the 17th International Conference on Product-Focused Software Process Improvement, PROFES 2016, held in Trondheim, Norway, in November 2016. The 24 revised full papers presented together with 21 short papers, 1 keynote, 3 invited papers, 5 workshop papers. 2 doctoral symposium papers, and 6 tutorials were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on Early Phases in Software Engineering; Organizational Models; Architecture; Methods and Tools; Verification and Validation; Process Improvement; Speed and Agility in System Engineering; Requirements and Quality; Process and Repository Mining; Business Value and Benefits; Emerging Research Topics; and Future of Computing.

Transactions on Foundations for Mastering Change I

Transactions on Foundations for Mastering Change I Book
Author : Bernhard Steffen
Publisher : Springer
Release : 2016-10-01
ISBN : 3319465082
Language : En, Es, Fr & De

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Book Description :

The LNCS Transactions on Foundations for Mastering Change, FoMaC, aims to establish a forum for formal-methods-based research, dealing with the nature of today’s agile system development, which is characterized by unclear premises, unforeseen change, and the need for fast reaction, in a context of hard-to-control frame conditions, such as third-party components, network problems, and attacks. Submissions are evaluated according to these goals. This book, the first volume in the series, contains contributions by the members of the editorial board. These contributions indicate the envisioned style and range of papers of topics covered by the transactions series. They cross-cut various traditional research directions and are characterized by a clear focus on change.

Advances in Conceptual Modeling

Advances in Conceptual Modeling Book
Author : Giancarlo Guizzardi,Frederik Gailly,Rita Suzana Pitangueira Maciel
Publisher : Springer Nature
Release : 2019-10-26
ISBN : 3030341461
Language : En, Es, Fr & De

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Book Description :

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 Modeling, Ontologies and Metadata Management for FAIR Data (FAIR), 6th Workshop on Conceptual Modeling in Requirements Engineering and Business Analysis (MREBA), 2nd International Workshop on Empirical Methods in Conceptual Modeling (EmpER), 8th International Workshop on Modeling and Management of Big Data (MoBiD19), and 7th International Workshop on Ontologies andConceptual Modelling (OntoCom).

Sociology of Education

Sociology of Education Book
Author : Tomas Boronski,Nasima Hassan
Publisher : SAGE
Release : 2020-01-27
ISBN : 1526471922
Language : En, Es, Fr & De

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Book Description :

This textbook explains the basic principles of sociology and how a sociological understanding is vital for understanding how ideas about education and schooling have developed over time and how these issues directly affect our own lives today. This fully updated second edition will encourage students to think critically about hotly contested debates in education and what has influenced different perspectives on these issues. New to this edition: · Two new chapters on early approaches to sociological research and social class and social mobility · A new case study feature throughout the book · Enhanced coverage of recent education policy, child poverty, political extremism and the politics of independent and grammar schools. This is essential reading for students on undergraduate Education Studies degrees, and for sociology courses covering educational issues.