| 书目名称 | Constraint-Based Design Recovery for Software Reengineering |
| 副标题 | Theory and Experimen |
| 编辑 | Steven G. Woods,Alexander E. Quilici,Qiang Yang |
| 视频video | |
| 丛书名称 | International Series in Software Engineering |
| 图书封面 |  |
| 描述 | The great challenge of reverse engineering is recovering design information from legacy code: the concept recovery problem. This monograph describes our research effort in attacking this problem. It discusses our theory of how a constraint-based approach to program plan recognition can efficiently extract design concepts from source code, and it details experiments in concept recovery that support our claims of scalability. Importantly, we present our models and experiments in sufficient detail so that they can be easily replicated. This book is intended for researchers or software developers concerned with reverse engineering or reengineering legacy systems. However, it may also interest those researchers who are interested using plan recognition techniques or constraint-based reasoning. We expect the reader to have a reasonable computer science background (i.e., familiarity with the basics of programming and algorithm analysis), but we do not require familiarity with the fields of reverse engineering or artificial intelligence (AI). To this end, we carefully explain all the AI techniques we use. This book is designed as a reference for advanced undergraduate or graduate seminar c |
| 出版日期 | Book 1998 |
| 关键词 | Constraint Satisfaction; Scala; algorithms; artificial intelligence; design; intelligence; programming; pro |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-5461-5 |
| isbn_softcover | 978-1-4613-7494-7 |
| isbn_ebook | 978-1-4615-5461-5Series ISSN 1384-6469 |
| issn_series | 1384-6469 |
| copyright | Springer Science+Business Media New York 1998 |
发表于 2025-3-21 16:56:07
