The Art And Science Of Analyzing Software Data

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The Art and Science of Analyzing Software Data

Christian Bird,Tim Menzies,Thomas Zimmermann
The Art and Science of Analyzing Software Data Book PDF

Author : Christian Bird,Tim Menzies,Thomas Zimmermann
Publisher : Elsevier
Page : 672 pages
File Size : 51,9 Mb
Release : 2015-09-02
Category : Computers
ISBN : 9780124115439

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The Art and Science of Analyzing Software Data by Christian Bird,Tim Menzies,Thomas Zimmermann Pdf

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

Product-Focused Software Process Improvement

Michael Felderer,Daniel Méndez Fernández,Burak Turhan,Marcos Kalinowski,Federica Sarro,Dietmar Winkler
Product Focused Software Process Improvement Book PDF

Author : Michael Felderer,Daniel Méndez Fernández,Burak Turhan,Marcos Kalinowski,Federica Sarro,Dietmar Winkler
Publisher : Springer
Page : 632 pages
File Size : 47,6 Mb
Release : 2017-11-10
Category : Computers
ISBN : 9783319699264

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Product-Focused Software Process Improvement by Michael Felderer,Daniel Méndez Fernández,Burak Turhan,Marcos Kalinowski,Federica Sarro,Dietmar Winkler Pdf

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.

Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media

Keikhosrokiani, Pantea,Pourya Asl, Moussa
Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media Book PDF

Author : Keikhosrokiani, Pantea,Pourya Asl, Moussa
Publisher : IGI Global
Page : 462 pages
File Size : 52,9 Mb
Release : 2022-02-18
Category : Computers
ISBN : 9781799895961

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Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media by Keikhosrokiani, Pantea,Pourya Asl, Moussa Pdf

Opinion mining and text analytics are used widely across numerous disciplines and fields in today’s society to provide insight into people’s thoughts, feelings, and stances. This data is incredibly valuable and can be utilized for a range of purposes. As such, an in-depth look into how opinion mining and text analytics correlate with social media and literature is necessary to better understand audiences. The Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media introduces the use of artificial intelligence and big data analytics applied to opinion mining and text analytics on literary works and social media. It also focuses on theories, methods, and approaches in which data analysis techniques can be used to analyze data to provide a meaningful pattern. Covering a wide range of topics such as sentiment analysis and stance detection, this publication is ideal for lecturers, researchers, academicians, practitioners, and students.

Perspectives on Data Science for Software Engineering

Tim Menzies,Laurie Williams,Thomas Zimmermann
Perspectives on Data Science for Software Engineering Book PDF

Author : Tim Menzies,Laurie Williams,Thomas Zimmermann
Publisher : Morgan Kaufmann
Page : 408 pages
File Size : 53,5 Mb
Release : 2016-07-14
Category : Computers
ISBN : 9780128042618

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Perspectives on Data Science for Software Engineering by Tim Menzies,Laurie Williams,Thomas Zimmermann Pdf

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

Tim Menzies,Ekrem Kocaguneli,Burak Turhan,Leandro Minku,Fayola Peters
Sharing Data and Models in Software Engineering Book PDF

Author : Tim Menzies,Ekrem Kocaguneli,Burak Turhan,Leandro Minku,Fayola Peters
Publisher : Morgan Kaufmann
Page : 415 pages
File Size : 42,6 Mb
Release : 2014-12-22
Category : Computers
ISBN : 9780124173071

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Sharing Data and Models in Software Engineering by Tim Menzies,Ekrem Kocaguneli,Burak Turhan,Leandro Minku,Fayola Peters Pdf

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

Michael Felderer,Guilherme Horta Travassos
Contemporary Empirical Methods in Software Engineering Book PDF

Author : Michael Felderer,Guilherme Horta Travassos
Publisher : Springer Nature
Page : 525 pages
File Size : 51,9 Mb
Release : 2020-08-27
Category : Computers
ISBN : 9783030324896

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Contemporary Empirical Methods in Software Engineering by Michael Felderer,Guilherme Horta Travassos Pdf

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.

Internet of Healthcare Things

Kavita Sharma,Yogita Gigras,Vishnu Sharma,D. Jude Hemanth,Ramesh Chandra Poonia
Internet of Healthcare Things Book PDF

Author : Kavita Sharma,Yogita Gigras,Vishnu Sharma,D. Jude Hemanth,Ramesh Chandra Poonia
Publisher : John Wiley & Sons
Page : 308 pages
File Size : 47,6 Mb
Release : 2022-03-09
Category : Science
ISBN : 9781119791768

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Internet of Healthcare Things by Kavita Sharma,Yogita Gigras,Vishnu Sharma,D. Jude Hemanth,Ramesh Chandra Poonia Pdf

INTERNET OF HEALTHCARE THINGS The book addresses privacy and security issues providing solutions through authentication and authorization mechanisms, blockchain, fog computing, machine learning algorithms, so that machine learning-enabled IoT devices can deliver information concealed in data for fast, computerized responses and enhanced decision-making. The main objective of this book is to motivate healthcare providers to use telemedicine facilities for monitoring patients in urban and rural areas and gather clinical data for further research. To this end, it provides an overview of the Internet of Healthcare Things (IoHT) and discusses one of the major threats posed by it, which is the data security and data privacy of health records. Another major threat is the combination of numerous devices and protocols, precision time, data overloading, etc. In the IoHT, multiple devices are connected and communicate through certain protocols. Therefore, the application of emerging technologies to mitigate these threats and provide secure data communication over the network is discussed. This book also discusses the integration of machine learning with the IoHT for analyzing huge amounts of data for predicting diseases more accurately. Case studies are also given to verify the concepts presented in the book. Audience Researchers and industry engineers in computer science, artificial intelligence, healthcare sector, IT professionals, network administrators, cybersecurity experts.

Empirical Research for Software Security

Lotfi ben Othmane,Martin Gilje Jaatun,Edgar Weippl
Empirical Research for Software Security Book PDF

Author : Lotfi ben Othmane,Martin Gilje Jaatun,Edgar Weippl
Publisher : CRC Press
Page : 300 pages
File Size : 53,6 Mb
Release : 2017-11-28
Category : Computers
ISBN : 9781351650885

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Empirical Research for Software Security by Lotfi ben Othmane,Martin Gilje Jaatun,Edgar Weippl Pdf

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

Ernesto Damiani,George Spanoudakis,Leszek A. Maciaszek
Evaluation of Novel Approaches to Software Engineering Book PDF

Author : Ernesto Damiani,George Spanoudakis,Leszek A. Maciaszek
Publisher : Springer Nature
Page : 413 pages
File Size : 47,9 Mb
Release : 2020-02-08
Category : Computers
ISBN : 9783030402235

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Evaluation of Novel Approaches to Software Engineering by Ernesto Damiani,George Spanoudakis,Leszek A. Maciaszek Pdf

This book constitutesselected, revised and extended papers 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.

Handbook of Software Engineering

Sungdeok Cha,Richard N. Taylor,Kyochul Kang
Handbook of Software Engineering Book PDF

Author : Sungdeok Cha,Richard N. Taylor,Kyochul Kang
Publisher : Springer
Page : 524 pages
File Size : 52,7 Mb
Release : 2019-02-11
Category : Computers
ISBN : 9783030002626

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Handbook of Software Engineering by Sungdeok Cha,Richard N. Taylor,Kyochul Kang Pdf

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.

Artificial Intelligence Methods For Software Engineering

Meir Kalech,Rui Abreu,Mark Last
Artificial Intelligence Methods For Software Engineering Book PDF

Author : Meir Kalech,Rui Abreu,Mark Last
Publisher : World Scientific
Page : 457 pages
File Size : 44,8 Mb
Release : 2021-06-15
Category : Computers
ISBN : 9789811239939

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Artificial Intelligence Methods For Software Engineering by Meir Kalech,Rui Abreu,Mark Last Pdf

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.Related Link(s)

Leveraging Applications of Formal Methods, Verification and Validation: Discussion, Dissemination, Applications

Tiziana Margaria,Bernhard Steffen
Leveraging Applications of Formal Methods Verification and Validation Discussion Dissemination Applications Book PDF

Author : Tiziana Margaria,Bernhard Steffen
Publisher : Springer
Page : 866 pages
File Size : 49,7 Mb
Release : 2016-10-04
Category : Computers
ISBN : 9783319471693

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Leveraging Applications of Formal Methods, Verification and Validation: Discussion, Dissemination, Applications by Tiziana Margaria,Bernhard Steffen Pdf

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.

Applied Computing for Software and Smart Systems

Rituparna Chaki,Nabendu Chaki,Agostino Cortesi,Khalid Saeed
Applied Computing for Software and Smart Systems Book PDF

Author : Rituparna Chaki,Nabendu Chaki,Agostino Cortesi,Khalid Saeed
Publisher : Springer Nature
Page : 232 pages
File Size : 41,6 Mb
Release : 2024-01-27
Category : Technology & Engineering
ISBN : 9789819977833

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Applied Computing for Software and Smart Systems by Rituparna Chaki,Nabendu Chaki,Agostino Cortesi,Khalid Saeed Pdf

This book features a collection of high-quality research papers presented at the 10th International Symposium on Applied Computing for Software and Smart systems (ACSS 2023), to be held during September 15–16, 2023, in Kolkata, India. The book presents innovative works by undergraduate, graduate students as well as Ph.D. scholars. The emphasis of the workshop is on software and smart systems and research outcomes on other relevant areas pertaining to advancement of computing.

Search-Based Software Engineering

Shiva Nejati,Gregory Gay
Search Based Software Engineering Book PDF

Author : Shiva Nejati,Gregory Gay
Publisher : Springer Nature
Page : 191 pages
File Size : 42,7 Mb
Release : 2019-08-23
Category : Computers
ISBN : 9783030274559

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Search-Based Software Engineering by Shiva Nejati,Gregory Gay Pdf

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 - from test generation, to design refactoring, to process organization - can be solved efficiently through the application of automated optimization techniques. SBSE is a growing field - sitting at the crossroads between AI, machine learning, and software engineering - and SBSE techniques have begun to attain human-competitive results.

Semantic Computing

Sheu Phillip Chen-yu
Semantic Computing Book PDF

Author : Sheu Phillip Chen-yu
Publisher : World Scientific Publishing Company
Page : 252 pages
File Size : 46,7 Mb
Release : 2012-05-31
Category : Computers
ISBN : 9789813227934

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Semantic Computing by Sheu Phillip Chen-yu Pdf

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.