Defect Prediction in Software Development & Maintainence

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Author :
Publisher : Partridge Publishing
ISBN 13 : 1543702414
Total Pages : 57 pages
Book Rating : 4.5/5 (437 download)

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Book Synopsis Defect Prediction in Software Development & Maintainence by : Rudra Kumar

Download or read book Defect Prediction in Software Development & Maintainence written by Rudra Kumar and published by Partridge Publishing. This book was released on 2018-04-11 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of taxonomy and review of contemporary model in the field of software development and maintenance. This book is basically the result of our passion toward the research of application of software engineering concepts. This work is derived from the need for accurate fault estimation in goals of quality programming and minimal maintenance overheads. State of art technologies have been discussed with respective experimental investigations and analysis. This work started out as a survey and then evolved according to our interest and proclivity into a work that emphasizes the aspects of software development. This book is intended to explain how the defect predictions are used to improve the quality of software development for easy analysis in a very simple way. It contains research that is useful to research scholars, engineers, and computing researchers.

The Art and Science of Analyzing Software Data

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Publisher : Elsevier
ISBN 13 : 0124115438
Total Pages : 673 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis The Art and Science of Analyzing Software Data by : Christian Bird

Download or read book The Art and Science of Analyzing Software Data written by Christian Bird and published by Elsevier. This book was released on 2015-09-02 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Empirical Research in Software Engineering

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Publisher : CRC Press
ISBN 13 : 1498719732
Total Pages : 486 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Empirical Research in Software Engineering by : Ruchika Malhotra

Download or read book Empirical Research in Software Engineering written by Ruchika Malhotra and published by CRC Press. This book was released on 2016-03-09 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Empirical research has now become an essential component of software engineering yet software practitioners and researchers often lack an understanding of how the empirical procedures and practices are applied in the field. Empirical Research in Software Engineering: Concepts, Analysis, and Applications shows how to implement empirical research pro

Sharing Data and Models in Software Engineering

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 0124173071
Total Pages : 415 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Sharing Data and Models in Software Engineering by : Tim Menzies

Download or read book Sharing Data and Models in Software Engineering written by Tim Menzies and published by Morgan Kaufmann. This book was released on 2014-12-22 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Fundamentals and Methods of Machine and Deep Learning

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Publisher : John Wiley & Sons
ISBN 13 : 1119821886
Total Pages : 480 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Fundamentals and Methods of Machine and Deep Learning by : Pradeep Singh

Download or read book Fundamentals and Methods of Machine and Deep Learning written by Pradeep Singh and published by John Wiley & Sons. This book was released on 2022-02-01 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING The book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. Over the past two decades, the field of machine learning and its subfield deep learning have played a main role in software applications development. Also, in recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field. The goal of this book is to present a??practical approach by explaining the concepts of machine learning and deep learning algorithms with applications. Supervised machine learning algorithms, ensemble machine learning algorithms, feature selection, deep learning techniques, and their applications are discussed. Also included in the eighteen chapters is unique information which provides a clear understanding of concepts by using algorithms and case studies illustrated with applications of machine learning and deep learning in different domains, including disease prediction, software defect prediction, online television analysis, medical image processing, etc. Each of the chapters briefly described below provides both a chosen approach and its implementation. Audience Researchers and engineers in artificial intelligence, computer scientists as well as software developers.

Intelligent Software Defect Prediction

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Author :
Publisher : Springer Nature
ISBN 13 : 9819928427
Total Pages : 210 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Intelligent Software Defect Prediction by : Xiao-Yuan Jing

Download or read book Intelligent Software Defect Prediction written by Xiao-Yuan Jing and published by Springer Nature. This book was released on 2024-01-17 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing complexity of and dependency on software, software products may suffer from low quality, high prices, be hard to maintain, etc. Software defects usually produce incorrect or unexpected results and behaviors. Accordingly, software defect prediction (SDP) is one of the most active research fields in software engineering and plays an important role in software quality assurance. Based on the results of SDP analyses, developers can subsequently conduct defect localization and repair on the basis of reasonable resource allocation, which helps to reduce their maintenance costs. This book offers a comprehensive picture of the current state of SDP research. More specifically, it introduces a range of machine-learning-based SDP approaches proposed for different scenarios (i.e., WPDP, CPDP, and HDP). In addition, the book shares in-depth insights into current SDP approaches’ performance and lessons learned for future SDP research efforts. We believe these theoretical analyses and emerging challenges will be of considerable interest to all researchers, graduate students, and practitioners who want to gain deeper insights into and/or find new research directions in SDP. It offers a comprehensive introduction to the current state of SDP and detailed descriptions of representative SDP approaches.

Perspectives on Data Science for Software Engineering

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 0128042613
Total Pages : 410 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Perspectives on Data Science for Software Engineering by : Tim Menzies

Download or read book Perspectives on Data Science for Software Engineering written by Tim Menzies and published by Morgan Kaufmann. This book was released on 2016-07-14 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Optimising the Software Development Process with Artificial Intelligence

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Publisher : Springer Nature
ISBN 13 : 9811999481
Total Pages : 349 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Optimising the Software Development Process with Artificial Intelligence by : José Raúl Romero

Download or read book Optimising the Software Development Process with Artificial Intelligence written by José Raúl Romero and published by Springer Nature. This book was released on 2023-07-19 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a practical introduction to the use of artificial intelligence (AI) techniques to improve and optimise the various phases of the software development process, from the initial project planning to the latest deployment. All chapters were written by leading experts in the field and include practical and reproducible examples. Following the introductory chapter, Chapters 2-9 respectively apply AI techniques to the classic phases of the software development process: project management, requirement engineering, analysis and design, coding, cloud deployment, unit and system testing, and maintenance. Subsequently, Chapters 10 and 11 provide foundational tutorials on the AI techniques used in the preceding chapters: metaheuristics and machine learning. Given its scope and focus, the book represents a valuable resource for researchers, practitioners and students with a basic grasp of software engineering.

2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)

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Publisher :
ISBN 13 : 9781728168524
Total Pages : pages
Book Rating : 4.1/5 (685 download)

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Book Synopsis 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) by : IEEE Staff

Download or read book 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) written by IEEE Staff and published by . This book was released on 2020-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: THE 11th INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT) aims to provide a forum that brings together International researchers from academia and practitioners in the industry to meet and exchange ideas and recent research work on all aspects of Information and Communication Technologies

Fundamental Approaches to Software Engineering

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Publisher : Springer
ISBN 13 : 3540712895
Total Pages : 452 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Fundamental Approaches to Software Engineering by : Matthew B. Dwyer

Download or read book Fundamental Approaches to Software Engineering written by Matthew B. Dwyer and published by Springer. This book was released on 2007-07-04 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Fundamental Approaches to Software Engineering, FASE 2007, held in Braga, Portugal in March/April 2007 as part of ETAPS 2007, the Joint European Conferences on Theory and Practice of Software. It covers evolution and agents, model driven development, tool demonstrations, distributed systems, specification, services, testing, analysis, and design.

Software Fault Prediction

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Author :
Publisher : Springer
ISBN 13 : 9811087156
Total Pages : 81 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Software Fault Prediction by : Sandeep Kumar

Download or read book Software Fault Prediction written by Sandeep Kumar and published by Springer. This book was released on 2018-06-06 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on exploring the use of software fault prediction in building reliable and robust software systems. It is divided into the following chapters: Chapter 1 presents an introduction to the study and also introduces basic concepts of software fault prediction. Chapter 2 explains the generalized architecture of the software fault prediction process and discusses its various components. In turn, Chapter 3 provides detailed information on types of fault prediction models and discusses the latest literature on each model. Chapter 4 describes the software fault datasets and diverse issues concerning fault datasets when building fault prediction models. Chapter 5 presents a study evaluating different techniques on the basis of their performance for software fault prediction. Chapter 6 presents another study evaluating techniques for predicting the number of faults in the software modules. In closing, Chapter 7 provides a summary of the topics discussed. The book will be of immense benefit to all readers who are interested in starting research in this area. In addition, it offers experienced researchers a valuable overview of the latest work in this area.

Research Anthology on Recent Trends, Tools, and Implications of Computer Programming

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Author :
Publisher : IGI Global
ISBN 13 : 1799830179
Total Pages : 2069 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Research Anthology on Recent Trends, Tools, and Implications of Computer Programming by : Management Association, Information Resources

Download or read book Research Anthology on Recent Trends, Tools, and Implications of Computer Programming written by Management Association, Information Resources and published by IGI Global. This book was released on 2020-08-03 with total page 2069 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming has become a significant part of connecting theoretical development and scientific application computation. Computer programs and processes that take into account the goals and needs of the user meet with the greatest success, so it behooves software engineers to consider the human element inherent in every line of code they write. Research Anthology on Recent Trends, Tools, and Implications of Computer Programming is a vital reference source that examines the latest scholarly material on trends, techniques, and uses of various programming applications and examines the benefits and challenges of these computational developments. Highlighting a range of topics such as coding standards, software engineering, and computer systems development, this multi-volume book is ideally designed for programmers, computer scientists, software developers, analysts, security experts, IoT software programmers, computer and software engineers, students, professionals, and researchers.

Stochastic Reliability and Maintenance Modeling

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Publisher : Springer Science & Business Media
ISBN 13 : 1447149718
Total Pages : 375 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Stochastic Reliability and Maintenance Modeling by : Tadashi Dohi

Download or read book Stochastic Reliability and Maintenance Modeling written by Tadashi Dohi and published by Springer Science & Business Media. This book was released on 2013-04-18 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: In honor of the work of Professor Shunji Osaki, Stochastic Reliability and Maintenance Modeling provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. Including associated application areas such as dependable computing, performance evaluation, software engineering, communication engineering, distinguished researchers review and build on the contributions over the last four decades by Professor Shunji Osaki. Fundamental yet significant research results are presented and discussed clearly alongside new ideas and topics on stochastic reliability and maintenance modeling to inspire future research. Across 15 chapters readers gain the knowledge and understanding to apply reliability and maintenance theory to computer and communication systems. Stochastic Reliability and Maintenance Modeling is ideal for graduate students and researchers in reliability engineering, and workers, managers and engineers engaged in computer, maintenance and management works.

Machine Learning Applications In Software Engineering

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Author :
Publisher : World Scientific
ISBN 13 : 9814481424
Total Pages : 367 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Machine Learning Applications In Software Engineering by : Du Zhang

Download or read book Machine Learning Applications In Software Engineering written by Du Zhang and published by World Scientific. This book was released on 2005-02-21 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fertile ground where many software development and maintenance tasks could be formulated as learning problems and approached in terms of learning algorithms. This book deals with the subject of machine learning applications in software engineering. It provides an overview of machine learning, summarizes the state-of-the-practice in this niche area, gives a classification of the existing work, and offers some application guidelines. Also included in the book is a collection of previously published papers in this research area.

Software Development Patterns and Antipatterns

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Publisher : CRC Press
ISBN 13 : 1000414736
Total Pages : 512 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Software Development Patterns and Antipatterns by : Capers Jones

Download or read book Software Development Patterns and Antipatterns written by Capers Jones and published by CRC Press. This book was released on 2021-08-26 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software development has been a troubling since it first started. There are seven chronic problems that have plagued it from the beginning: Incomplete and ambiguous user requirements that grow by >2% per month. Major cost and schedule overruns for large applications > 35% higher than planned. Low defect removal efficiency (DRE) Cancelled projects that are not completed: > 30% above 10,000 function points. Poor quality and low reliability after the software is delivered: > 5 bugs per FP. Breach of contract litigation against software outsource vendors. Expensive maintenance and enhancement costs after delivery. These are endemic problems for software executives, software engineers and software customers but they are not insurmountable. In Software Development Patterns and Antipatterns, software engineering and metrics pioneer Capers Jones presents technical solutions for all seven. The solutions involve moving from harmful patterns of software development to effective patterns of software development. The first section of the book examines common software development problems that have been observed in many companies and government agencies. The data on the problems comes from consulting studies, breach of contract lawsuits, and the literature on major software failures. This section considers the factors involved with cost overruns, schedule delays, canceled projects, poor quality, and expensive maintenance after deployment. The second section shows patterns that lead to software success. The data comes from actual companies. The section’s first chapter on Corporate Software Risk Reduction in a Fortune 500 company was based on a major telecom company whose CEO was troubled by repeated software failures. The other chapters in this section deal with methods of achieving excellence, as well as measures that can prove excellence to C-level executives, and with continuing excellence through the maintenance cycle as well as for software development.

Meta Heuristic Techniques in Software Engineering and Its Applications

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Author :
Publisher : Springer Nature
ISBN 13 : 3031117131
Total Pages : 368 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Meta Heuristic Techniques in Software Engineering and Its Applications by : Mihir Narayan Mohanty

Download or read book Meta Heuristic Techniques in Software Engineering and Its Applications written by Mihir Narayan Mohanty and published by Springer Nature. This book was released on 2022-10-17 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses an integration of machine learning with metaheuristic techniques that provide more robust and efficient ways to address traditional optimization problems. Modern metaheuristic techniques, along with their main characteristics and recent applications in artificial intelligence, software engineering, data mining, planning and scheduling, logistics and supply chains, are discussed in this book and help global leaders in fast decision making by providing quality solutions to important problems in business, engineering, economics and science. Novel ways are also discovered to attack unsolved problems in software testing and machine learning. The discussion on foundations of optimization and algorithms leads beginners to apply current approaches to optimization problems. The discussed metaheuristic algorithms include genetic algorithms, simulated annealing, ant algorithms, bee algorithms and particle swarm optimization. New developments on metaheuristics attract researchers and practitioners to apply hybrid metaheuristics in real scenarios.

Software Applications: Concepts, Methodologies, Tools, and Applications

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Publisher : IGI Global
ISBN 13 : 1605660612
Total Pages : 3994 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Software Applications: Concepts, Methodologies, Tools, and Applications by : Tiako, Pierre F.

Download or read book Software Applications: Concepts, Methodologies, Tools, and Applications written by Tiako, Pierre F. and published by IGI Global. This book was released on 2009-03-31 with total page 3994 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes articles in topic areas such as autonomic computing, operating system architectures, and open source software technologies and applications.