the art and science of analyzing software data

The Art And Science Of Analyzing Software Data
Author: Christian Bird
Publisher: Elsevier
Release Date: 2015-09-02
Pages: 672
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

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
Author: Michael Felderer
Publisher: Springer
Release Date: 2017-11-10
Pages: 632
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

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.

Sharing Data And Models In Software Engineering
Author: Tim Menzies
Publisher: Morgan Kaufmann
Release Date: 2014-12-22
Pages: 406
ISBN:
Available Language: English, Spanish, And French
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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 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

Transportation Systems Planning
Author: Konstadinos G. Goulias
Publisher: CRC Press
Release Date: 2002-12-26
Pages: 456
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Transportation engineering and transportation planning are two sides of the same coin aiming at the design of an efficient infrastructure and service to meet the growing needs for accessibility and mobility. Many well-designed transport systems that meet these needs are based on a solid understanding of human behavior. Since transportation systems are the backbone connecting the vital parts of a city, in-depth understanding of human nature is essential to the planning, design, and operational analysis of transportation systems. With contributions by transportation experts from around the world, Transportation Systems Planning: Methods and Applications compiles engineering data and methods for solving problems in the planning, design, construction, and operation of various transportation modes into one source. It is the first methodological transportation planning reference that illustrates analytical simulation methods that depict human behavior in a realistic way, and many of its chapters emphasize newly developed and previously unpublished simulation methods. The handbook demonstrates how urban and regional planning, geography, demography, economics, sociology, ecology, psychology, business, operations management, and engineering come together to help us plan for better futures that are human-centered. The text reviews projects from an initial problem statement to final policy action and associated decision-making and examines policies at all levels of government, from the city to the national levels. Unlike many other handbooks which are encyclopedic reviews, Transportation Systems Planning extends far beyond modeling in engineering and economics to present a truly transdisciplinary approach to transportation systems planning.

Fuzzing For Software Security Testing And Quality Assurance
Author: Ari Takanen
Publisher: Artech House
Release Date: 2008
Pages: 287
ISBN:
Available Language: English, Spanish, And French
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Learn the code cracker's malicious mindset, so you can find worn-size holes in the software you are designing, testing, and building. Fuzzing for Software Security Testing and Quality Assurance takes a weapon from the black-hat arsenal to give you a powerful new tool to build secure, high-quality software. This practical resource helps you add extra protection without adding expense or time to already tight schedules and budgets. The book shows you how to make fuzzing a standard practice that integrates seamlessly with all development activities. This comprehensive reference goes through each phase of software development and points out where testing and auditing can tighten security. It surveys all popular commercial fuzzing tools and explains how to select the right one for a software development project. The book also identifies those cases where commercial tools fall short and when there is a need for building your own fuzzing tools.

Applied Data Science
Author: Martin Braschler
Publisher: Springer
Release Date: 2019-06-10
Pages: 465
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement for a classical textbook (i.e., it does not elaborate on fundamentals of methods and principles described elsewhere), but systematically highlights the connection between theory, on the one hand, and its application in specific use cases, on the other. With these goals in mind, the book is divided into three parts: Part I pays tribute to the interdisciplinary nature of data science and provides a common understanding of data science terminology for readers with different backgrounds. These six chapters are geared towards drawing a consistent picture of data science and were predominantly written by the editors themselves. Part II then broadens the spectrum by presenting views and insights from diverse authors – some from academia and some from industry, ranging from financial to health and from manufacturing to e-commerce. Each of these chapters describes a fundamental principle, method or tool in data science by analyzing specific use cases and drawing concrete conclusions from them. The case studies presented, and the methods and tools applied, represent the nuts and bolts of data science. Finally, Part III was again written from the perspective of the editors and summarizes the lessons learned that have been distilled from the case studies in Part II. The section can be viewed as a meta-study on data science across a broad range of domains, viewpoints and fields. Moreover, it provides answers to the question of what the mission-critical factors for success in different data science undertakings are. The book targets professionals as well as students of data science: first, practicing data scientists in industry and academia who want to broaden their scope and expand their knowledge by drawing on the authors’ combined experience. Second, decision makers in businesses who face the challenge of creating or implementing a data-driven strategy and who want to learn from success stories spanning a range of industries. Third, students of data science who want to understand both the theoretical and practical aspects of data science, vetted by real-world case studies at the intersection of academia and industry.

Digital Archaeology
Author: Michael W Graves
Publisher: Addison-Wesley
Release Date: 2013-08-16
Pages: 600
ISBN:
Available Language: English, Spanish, And French
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The Definitive, Up-to-Date Guide to Digital Forensics The rapid proliferation of cyber crime is increasing the demand for digital forensics experts in both law enforcement and in the private sector. In Digital Archaeology, expert practitioner Michael Graves has written the most thorough, realistic, and up-to-date guide to the principles and techniques of modern digital forensics. Graves begins by providing a solid understanding of the legal underpinnings of and critical laws affecting computer forensics, including key principles of evidence and case law. Next, he explains how to systematically and thoroughly investigate computer systems to unearth crimes or other misbehavior, and back it up with evidence that will stand up in court. Drawing on the analogy of archaeological research, Graves explains each key tool and method investigators use to reliably uncover hidden information in digital systems. His detailed demonstrations often include the actual syntax of command-line utilities. Along the way, he presents exclusive coverage of facilities management, a full chapter on the crucial topic of first response to a digital crime scene, and up-to-the-minute coverage of investigating evidence in the cloud. Graves concludes by presenting coverage of important professional and business issues associated with building a career in digital forensics, including current licensing and certification requirements. Topics Covered Include Acquiring and analyzing data in ways consistent with forensic procedure Recovering and examining e-mail, Web, and networking activity Investigating users’ behavior on mobile devices Overcoming anti-forensics measures that seek to prevent data capture and analysis Performing comprehensive electronic discovery in connection with lawsuits Effectively managing cases and documenting the evidence you find Planning and building your career in digital forensics Digital Archaeology is a key resource for anyone preparing for a career as a professional investigator; for IT professionals who are sometimes called upon to assist in investigations; and for those seeking an explanation of the processes involved in preparing an effective defense, including how to avoid the legally indefensible destruction of digital evidence.

Analyzing Computer Security
Author: Charles P. Pfleeger
Publisher: Prentice Hall
Release Date: 2011-08-18
Pages: 896
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

“In this book, the authors adopt a refreshingly new approach to explaining the intricacies of the security and privacy challenge that is particularly well suited to today’s cybersecurity challenges. Their use of the threat–vulnerability–countermeasure paradigm combined with extensive real-world examples throughout results in a very effective learning methodology.” —Charles C. Palmer, IBM Research The Modern Introduction to Computer Security: Understand Threats, Identify Their Causes, and Implement Effective Countermeasures Analyzing Computer Security is a fresh, modern, and relevant introduction to computer security. Organized around today’s key attacks, vulnerabilities, and countermeasures, it helps you think critically and creatively about computer security—so you can prevent serious problems and mitigate the effects of those that still occur. In this new book, renowned security and software engineering experts Charles P. Pfleeger and Shari Lawrence Pfleeger—authors of the classic Security in Computing—teach security the way modern security professionals approach it: by identifying the people or things that may cause harm, uncovering weaknesses that can be exploited, and choosing and applying the right protections. With this approach, not only will you study cases of attacks that have occurred, but you will also learn to apply this methodology to new situations. The book covers “hot button” issues, such as authentication failures, network interception, and denial of service. You also gain new insight into broader themes, including risk analysis, usability, trust, privacy, ethics, and forensics. One step at a time, the book systematically helps you develop the problem-solving skills needed to protect any information infrastructure. Coverage includes Understanding threats, vulnerabilities, and countermeasures Knowing when security is useful, and when it’s useless “security theater” Implementing effective identification and authentication systems Using modern cryptography and overcoming weaknesses in cryptographic systems Protecting against malicious code: viruses, Trojans, worms, rootkits, keyloggers, and more Understanding, preventing, and mitigating DOS and DDOS attacks Architecting more secure wired and wireless networks Building more secure application software and operating systems through more solid designs and layered protection Protecting identities and enforcing privacy Addressing computer threats in critical areas such as cloud computing, e-voting, cyberwarfare, and social media

Nexus Network Journal 14 3
Author: Kim Williams
Publisher: Springer Science & Business Media
Release Date: 2014-03-07
Pages: 177
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

The Winter 2012 (vol. 14 no. 3) issue of the Nexus Network Journal features seven original papers dedicated to the theme “Digital Fabrication”. Digital fabrication is changing architecture in fundamental ways in every phase, from concept to artifact. Projects growing out of research in digital fabrication are dependent on software that is entirely surface-oriented in its underlying mathematics. Decisions made during design, prototyping, fabrication and assembly rely on codes, scripts, parameters, operating systems and software, creating the need for teams with multidisciplinary expertise and different skills, from IT to architecture, design, material engineering, and mathematics, among others The papers grew out of a Lisbon symposium hosted by the ISCTE-Instituto Universitario de Lisboa entitled “Digital Fabrication – A State of the Art”. The issue is completed with four other research papers which address different mathematical instruments applied to architecture, including geometric tracing systems, proportional systems, descriptive geometry and correspondence analysis. The issue concludes with a book review.

Resources In Education
Author:
Publisher:
Release Date: 1994
Pages:
ISBN:
Available Language: English, Spanish, And French
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Science Software
Author:
Publisher:
Release Date: 1989
Pages:
ISBN:
Available Language: English, Spanish, And French
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Astronomy For Developing Countries
Author: International Astronomical Union. General Assembly
Publisher: Astronomical Society of the pacific
Release Date: 2001
Pages: 376
ISBN:
Available Language: English, Spanish, And French
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Software State Of The Art
Author: Tom DeMarco
Publisher: Dorset House
Release Date: 1990
Pages: 570
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

The papers were selected from more than a dozen sources, including IEEE Computer, Software -- Practice & Experience, IEEE Transactions on Software Engineering, and Communications of the ACM.

Web And Network Data Science
Author: Thomas W. Miller
Publisher: FT Press
Release Date: 2014-12-19
Pages: 384
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.

Art Of Doing Science And Engineering
Author: Richard R. Hamming
Publisher: CRC Press
Release Date: 2003-12-16
Pages: 376
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Highly effective thinking is an art that engineers and scientists can be taught to develop. By presenting actual experiences and analyzing them as they are described, the author conveys the developmental thought processes employed and shows a style of thinking that leads to successful results is something that can be learned. Along with spectacular successes, the author also conveys how failures contributed to shaping the thought processes. Provides the reader with a style of thinking that will enhance a person's ability to function as a problem-solver of complex technical issues. Consists of a collection of stories about the author's participation in significant discoveries, relating how those discoveries came about and, most importantly, provides analysis about the thought processes and reasoning that took place as the author and his associates progressed through engineering problems.

Data And Design
Author:
Publisher:
Release Date: 2015
Pages:
ISBN:
Available Language: English, Spanish, And French
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While the scale problem that originally defined big data technologies has largely been solved by a robust ecosystem of technologies and vendors, user interfaces lag far behind. In this unique O'Reilly video collection--taken from live sessions at Strata + Hadoop World 2015 in San Jose, California--you'll learn about several tools and techniques for designing interfaces that developers and business people will enjoy using. This video collection includes: Designing with Data: A Human-centered Approach to Data-driven Design Arianna McClain (IDEO), Coe Leta Stafford (IDEO), Kevin Ho (IDEO) Apply human-centered techniques from IDEO's product design process to the world of data and analysis. The IDEO hybrid team will show how this approach helps you understand underlying organizational issues, design experiments, analyze data, and communicate results. What Designers and Data Scientists Can Learn from Each Other Danyel Fisher (Microsoft Research), Miriah Meyer (University of Utah) Why do designers and data scientists vary in the ways that they create visualizations? Simply because the tools they use are too rigid. Learn why we need tools that let designers more easily manipulate data--and that let data scientists more flexibly explore it. Data (Art &) Science Eric Colson (Stitch Fix) A certain class of problems calls for the combination of art and science. Focusing exclusively on art or science with social products--such as books, music, and video, and apparel--leads to less than optimal results. Learn new ways to marry art and data within your organization. Humanizing Data--Building Systems and Interfaces for Domain Experts Ari Gesher (Palantir Technologies), James Thompson (Palantir Technologies) While big data technologies have made great strides in recent years, user interfaces for these systems clearly lag behind. Learn what it takes to build an advanced querying interface that people will actually use and love. Designing for Data Etan Lightstone (New Relic) Get a detailed overview of New Relic Insights, a flexible, real-time big data analytics platform that helps customers make collecting and analyzing business data simple. The key is its SQL-like query approach that almost anyone with a developer base of knowledge can use. Architecting Interfaces that Learn Tye Rattenbury (Trifacta), Jeffrey Heer (Trifacta / University of Washington) Learn the software philosophy behind intelligent interface designs at Trifacta--particularly how the company focuses o...

Research Methods In Family Therapy
Author: Douglas H. Sprenkle
Publisher: Guilford Press
Release Date: 2005-06-01
Pages: 473
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Fully revised and updated, the second edition of this widely adopted text and professional reference reflects significant recent changes in the landscape of family therapy research. Leading contributors provide the current knowledge needed to design strong qualitative, quantitative, and mixed-method studies; analyze the resulting data; and translate findings into improved practices and programs. Following a consistent format, user-friendly chapters thoroughly describe the various methodologies and illustrate their applications with helpful concrete examples. Among the ten entirely new chapters in the second edition is an invaluable research primer for beginning graduate students. Other new chapters cover action and participatory research methods, computer-aided qualitative data analysis, feminist autoethnography, performance methodology, task analysis, cutting-edge statistical models, and more.

Qualitative Research Design For Software Users
Author: Silvana di Gregorio
Publisher: Open University Press
Release Date: 2008-12
Pages: 272
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

“Di Gregorio & Davidson provide an essential guide for qualitative researchers who wish to get to grips with the potential of software packages for handling qualitative data, research design and ethical and privacy issues ... The authors open up new ground … by integrating the discussion of qualitative data analysis software into the wider context of methodological practice. The authors' arguments and general approach are illustrated in an accessible and engaging manner through the use of detailed case studies of qualitative research using a range of software packages. A smooth read, crammed full of invaluable advice and 'best practice' guidelines and checklists…” Derek Layder, University of Leicester, UK This book is an essential guide for anyone using qualitative data analysis software (QDAS), particularly useful for those who want to go beyond a basic introduction to discover how to get the most out of software and how to identify the methodological issues they need to consider. The book is organized in three parts – the first part addresses the methodological issues that need to be addressed when designing qualitative research using QDAS; the second part uses case studies to demonstrate the issues and the design framework introduced in the first part. These chapters are supported by numerous screenshots illustrating the software under discussion. The last part contains practical appendices to help readers apply the framework introduced to their own research. Di Gregorio and Davidson introduce: The notion of the E-Project or electronic project as a genre A framework for representing the research design of a project in any QDAS package Ethical considerations when working in QDAS A variety of contextual issues including national and organizational differences Eight real research projects of a variety of designs and using different QDAS (ATLAS.ti, MAXqda, NVIVO, and XSight) Separate checklists for ATLAS.ti, MAXqda, NVIVO, and XSight, providing practical help in applying the research design framework presented in the book Uniquely, the book examines issues related to both academic and non-academic uses of QDAS. Qualitative Research Design for Software Users is a useful reference for upper level students, academics and researchers across a range of disciplines.

Handbook Of Research On Geoinformatics
Author: Karimi, Hassan A.
Publisher: IGI Global
Release Date: 2009-01-31
Pages: 518
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

"This book discusses the complete range of contemporary research topics such as computer modeling, geometry, geoprocessing, and geographic information systems"--Provided by publisher.

Annual Quality Congress Transactions
Author:
Publisher:
Release Date: 1987
Pages:
ISBN:
Available Language: English, Spanish, And French
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