Empirical Research towards a Relevance Assessment of Software Clones PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Empirical Research towards a Relevance Assessment of Software Clones PDF full book. Access full book title Empirical Research towards a Relevance Assessment of Software Clones by Saman Bazrafshan. Download full books in PDF and EPUB format.
Author: Saman Bazrafshan
Publisher: Logos Verlag Berlin GmbH
ISBN: 3832545093
Category : Computers
Languages : en
Pages : 270
Get Book Here
Book Description
Redundancies in program source code - software clones - are a common phenomenon. Although it is often claimed that software clones decrease the maintainability of software systems and need to be managed, research in the last couple of years showed that not all clones can be considered harmful. A sophisticated assessment of the relevance of software clones and a cost-benefit analysis of clone management is needed to gain a better understanding of cloning and whether it is truly a harmful phenomenon. This thesis introduces techniques to model, analyze, and evaluate versatile aspects of software clone evolution within the history of a system. We present a mapping of non-identical clones across multiple versions of a system, that avoids possible ambiguities of previous approaches. Though processing more data to determine the context of each clone to avoid an ambiguous mapping, the approach is shown to be efficient and applicable to large systems for a retrospective analysis of software clone evolution. The approach has been used in several studies to gain insights into the phenomenon of cloning in open-source as well as industrial software systems. Our results show that non-identical clones require more attention regarding clone management compared to identical clones as they are the dominating clone type for the main share of our subject systems. Using the evolution model to investigate costs and benefits of refactorings that remove clones, we conclude that clone removals could not reduce maintenance costs for most systems under study.
Author: Saman Bazrafshan
Publisher: Logos Verlag Berlin GmbH
ISBN: 3832545093
Category : Computers
Languages : en
Pages : 270
Get Book Here
Book Description
Redundancies in program source code - software clones - are a common phenomenon. Although it is often claimed that software clones decrease the maintainability of software systems and need to be managed, research in the last couple of years showed that not all clones can be considered harmful. A sophisticated assessment of the relevance of software clones and a cost-benefit analysis of clone management is needed to gain a better understanding of cloning and whether it is truly a harmful phenomenon. This thesis introduces techniques to model, analyze, and evaluate versatile aspects of software clone evolution within the history of a system. We present a mapping of non-identical clones across multiple versions of a system, that avoids possible ambiguities of previous approaches. Though processing more data to determine the context of each clone to avoid an ambiguous mapping, the approach is shown to be efficient and applicable to large systems for a retrospective analysis of software clone evolution. The approach has been used in several studies to gain insights into the phenomenon of cloning in open-source as well as industrial software systems. Our results show that non-identical clones require more attention regarding clone management compared to identical clones as they are the dominating clone type for the main share of our subject systems. Using the evolution model to investigate costs and benefits of refactorings that remove clones, we conclude that clone removals could not reduce maintenance costs for most systems under study.
Author: Abhijit Banubakode
Publisher: Bentham Science Publishers
ISBN: 9815179616
Category : Computers
Languages : en
Pages : 303
Get Book Here
Book Description
Artificial Intelligence, Machine Learning and User Interface Design is a forward-thinking compilation of reviews that explores the intersection of Artificial Intelligence (AI), Machine Learning (ML) and User Interface (UI) design. The book showcases recent advancements, emerging trends and the transformative impact of these technologies on digital experiences and technologies. The editors have compiled 14 multidisciplinary topics contributed by over 40 experts, covering foundational concepts of AI and ML, and progressing through intricate discussions on recent algorithms and models. Case studies and practical applications illuminate theoretical concepts, providing readers with actionable insights. From neural network architectures to intuitive interface prototypes, the book covers the entire spectrum, ensuring a holistic understanding of the interplay between these domains. Use cases of AI and ML highlighted in the book include categorization and management of waste, taste perception of tea, bird species identification, content-based image retrieval, natural language processing, code clone detection, knowledge representation, tourism recommendation systems and solid waste management. Advances in Artificial Intelligence, Machine Learning and User Interface Design aims to inform a diverse readership, including computer science students, AI and ML software engineers, UI/UX designers, researchers, and tech enthusiasts.
Author: Katsuro Inoue
Publisher: Springer Nature
ISBN: 9811619271
Category : Computers
Languages : en
Pages : 237
Get Book Here
Book Description
This is the first book organized around code clone analysis. To cover the broad studies of code clone analysis, this book selects past research results that are important to the progress of the field and updates them with new results and future directions. The first chapter provides an introduction for readers who are inexperienced in the foundation of code clone analysis, defines clones and related terms, and discusses the classification of clones. The chapters that follow are categorized into three main parts to present 1) major tools for code clone analysis, 2) fundamental topics such as evaluation benchmarks, clone visualization, code clone searches, and code similarities, and 3) applications to actual problems. Each chapter includes a valuable reference list that will help readers to achieve a comprehensive understanding of this diverse field and to catch up with the latest research results. Code clone analysis relies heavily on computer science theories such as pattern matching algorithms, computer language, and software metrics. Consequently, code clone analysis can be applied to a variety of real-world tasks in software development and maintenance such as bug finding and program refactoring. This book will also be useful in designing an effective curriculum that combines theory and application of code clone analysis in university software engineering courses.
Author: Tom Mens
Publisher: Springer Nature
ISBN: 3031360605
Category : Computers
Languages : en
Pages : 321
Get Book Here
Book Description
This book highlights recent research advances in various domains related to software ecosystems such as library reuse, collaborative development, cloud computing, open science, sentiment analysis and machine learning. A key aspect of software ecosystems is that software products belong to ever more interdependent networks of co-evolving software components. The ever-increasing importance of social coding platforms has made software ecosystems indispensable to software practitioners, in commercial as well as open-source settings. The book starts with an introductory chapter that provides a historical account of the origins of software ecosystems. It provides the necessary context about the domain of software ecosystems by highlighting its different perspectives, definitions, and representations. It also exemplifies the variety of software ecosystems that have emerged during the previous decades. The remaining book is composed of five parts: Part I contains two chapters on software ecosystem representations, Part II two chapters that focus on complementary ways and techniques of analyzing software ecosystems. Next, Part III includes two chapters that focus on aspects related to the evolution within software ecosystems, while Part IV looks at workflow automation and infrastructure-as-code ecosystems. Finally, Part V focuses on ecosystems for software modeling and for data-intensive software. This book is intended for researchers and practitioners interested in data mining, tooling, and empirical analysis of software ecosystems. The reader will appreciate chapters that cover a wide spectrum of social and technical aspects of software ecosystems, each including an overview of the state of the art. Chapter 2 The Software Heritage Open Science Ecosystem is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author: Alessandro Cimatti
Publisher: Springer
ISBN: 3319661973
Category : Computers
Languages : en
Pages : 427
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 15th International Conference on Software Engineering and Formal Methods, SEFM 2017, held in Trento, Italy, in September 2017. The 17 full papers and 6 short papers presented were carefully reviewed and selected from 102 submissions. The papers deal with a large range of topics in the following research areas: new frontiers in software architecture; software verification and testing; software development methods; application and technology transfer; security and safety; and design principles.
Author: Gang Wu
Publisher: BoD – Books on Demand
ISBN: 9537619540
Category : Computers
Languages : en
Pages : 320
Get Book Here
Book Description
Having lived with the World Wide Web for twenty years, surfing the Web becomes a way of our life that cannot be separated. From latest news, photo sharing, social activities, to research collaborations and even commercial activities and government affairs, almost all kinds of information are available and processible via the Web. While people are appreciating the great invention, the father of the Web, Sir Tim Berners-Lee, has started the plan for the next generation of the Web, the Semantic Web. Unlike the Web that was originally designed for reading, the Semantic Web aims at a more intelligent Web severing machines as well as people. The idea behind it is simple: machines can automatically process or “understand” the information, if explicit meanings are given to it. In this way, it facilitates sharing and reuse of data across applications, enterprises, and communities. According to the organisation of the book, the intended readers may come from two groups, i.e. those whose interests include Semantic Web and want to catch on the state-of-the-art research progress in this field; and those who urgently need or just intend to seek help from the Semantic Web. In this sense, readers are not limited to the computer science. Everyone is welcome to find their possible intersection of the Semantic Web.
Author: Goetz Botterweck
Publisher: Springer
ISBN: 3319568566
Category : Computers
Languages : en
Pages : 227
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 16th International Conference on Software Reuse, ICSR 2017, held in Salvador, Brazil, in May 2017. The 8 revised full papers presented together with 3 short papers and 2 keynote presentations were carefully reviewed and selected from 34 submissions. The papers are grouped in topical sections on documentation reuse and repositories; software product lines; variability management and model variants; verification and refactoring for reuse; tools demonstrations; doctorial symposium; tutorials; and workshop.
Author: Tom Mens
Publisher: Springer Science & Business Media
ISBN: 3642453988
Category : Computers
Languages : en
Pages : 418
Get Book Here
Book Description
During the last few years, software evolution research has explored new domains such as the study of socio-technical aspects and collaboration between different individuals contributing to a software system, the use of search-based techniques and meta-heuristics, the mining of unstructured software repositories, the evolution of software requirements, and the dynamic adaptation of software systems at runtime. Also more and more attention is being paid to the evolution of collections of inter-related and inter-dependent software projects, be it in the form of web systems, software product families, software ecosystems or systems of systems. With this book, the editors present insightful contributions on these and other domains currently being intensively explored, written by renowned researchers in the respective fields of software evolution. Each chapter presents the state of the art in a particular topic, as well as the current research, available tool support and remaining challenges. The book is complemented by a glossary of important terms used in the community, a reference list of nearly 1,000 papers and books and tips on additional resources that may be useful to the reader (reference books, journals, standards and major scientific events in the domain of software evolution and datasets). This book is intended for all those interested in software engineering, and more particularly, software maintenance and evolution. Researchers and software practitioners alike will find in the contributed chapters an overview of the most recent findings, covering a broad spectrum of software evolution topics. In addition, it can also serve as the basis of graduate or postgraduate courses on e.g., software evolution, requirements engineering, model-driven software development or social informatics.
Author: Ashish Khanna
Publisher: Springer Nature
ISBN: 9811625948
Category : Technology & Engineering
Languages : en
Pages : 872
Get Book Here
Book Description
This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
Author: Andrei Kucharavy
Publisher: Springer Nature
ISBN: 3031548272
Category : Computer security
Languages : en
Pages : 249
Get Book Here
Book Description
This open access book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do. It also alerts LLM developers to understand their work's risks for cybersecurity and provides them with tools to mitigate those risks. The book starts in Part I with a general introduction to LLMs and their main application areas. Part II collects a description of the most salient threats LLMs represent in cybersecurity, be they as tools for cybercriminals or as novel attack surfaces if integrated into existing software. Part III focuses on attempting to forecast the exposure and the development of technologies and science underpinning LLMs, as well as macro levers available to regulators to further cybersecurity in the age of LLMs. Eventually, in Part IV, mitigation techniques that should allowsafe and secure development and deployment of LLMs are presented. The book concludes with two final chapters in Part V, one speculating what a secure design and integration of LLMs from first principles would look like and the other presenting a summary of the duality of LLMs in cyber-security. This book represents the second in a series published by the Technology Monitoring (TM) team of the Cyber-Defence Campus. The first book entitled "Trends in Data Protection and Encryption Technologies" appeared in 2023. This book series provides technology and trend anticipation for government, industry, and academic decision-makers as well as technical experts.
