Will Dr. Luke Taylor's descent into the government's most secretive project shed light on his origins? Or is he just the next in line to fall victim to his evil "brother?" In this country, not all clones are created equal.

Clones and jackals and symbiotes - oh my! Spider-Man's clone is back, costumed as the Scarlet Spider, and neither of them is sure which is the genuine article! Will the real Peter Parker please stand up? Plus: Aunt May on her death bed! Mary Jane pregnant! Peter arrested for murder! COLLECTING: AMAZING SPIDER-MAN (1962) 400-401, SUPER SPECIAL; SPECTACULAR SPIDER-MAN (1976) 222-224, SUPER SPECIAL; SPIDER-MAN (1990) 57-58, SUPER SPECIAL; SPIDER-MAN UNLIMITED (1993) 9; WEB OF SPIDER-MAN 123-124, SUPER SPECIAL; SPIDER-MAN: THE CLONE JOURNAL; VENOM SUPER SPECIAL

Acclaimed authors Patricia C. McKissack and Frederick L. McKissack have collaborated with their son, John, to deliver a novel that is as suspenseful as it is searing. "The Clone Codes" is the first installment of a sci-fi trilogy that blends a futuristic society with events in world history.

The World Federation of Nations issues a bounty for the capture of fugitives Houston Ye, a cyborg, and Leanna Deberry, a clone; meanwhile, the world's largest cloning company is operating a evil system where only authorized officials and clones are allowed inside.

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.

Duplicated passages of source code - code clones - are a common property of software systems. While clones are beneficial in some situations, their presence causes various problems for software maintenance. Most of these problems are strongly related to change and include, for example, the need to propagate changes across duplicated code fragments and the risk of inconsistent changes to clones that are meant to evolve identically. Hence, we need a sophisticated analysis of clone evolution to better understand, assess, and manage duplication in practice. This thesis introduces Clone Evolution Graphs as a technique to model clone relations and their evolution within the history of a system. We present our incremental algorithm for efficient and automated extraction of Clone Evolution Graphs from a system's history. The approach is shown to scale even for large systems with long histories making it applicable to retroactive analysis ofclone evolution as well as live tracking of clones during software maintenance.We have used Clone Evolution Graphs in several studies to analyze versatile aspects of clone evolution in open-source as well as industrial systems. Our results show that the characteristics of clone evolution are quite different between systems, highlighting the need for a sophisticated technique like Clone Evolution Graphs to track clones and analyze their evolution on a per-system basis. We have also shown that Clone Evolution Graphs are well-suited to analyze the change behavior of individual clones and can be used to identify problematic clones within a system. In general, the results of our studies provide new insights into how clones evolve, how they are changed, and how they are removed.