| 000 | 00987pamuu2200265 a 4500 | |
| 001 | 000001048772 | |
| 005 | 20000614172056 | |
| 008 | 950824s1998 maua b 001 0 eng | |
| 020 | ▼a 0792380673 | |
| 040 | ▼a DLC ▼c DLC ▼d UKM | |
| 049 | 0 | ▼l 151081270 |
| 050 | 0 0 | ▼a QA76.73.C15 ▼b T36 1996 |
| 082 | 0 0 | ▼a 005.13/3 ▼2 20 |
| 090 | ▼a 005.133 ▼b W897c | |
| 100 | 1 | ▼a Woods, Steven G. |
| 245 | 1 0 | ▼a Constraint based design recovery for software reengineering ▼t heory and experiments / ▼c by Steven G. Woods, Alexander E. Quilici, Qiang Yang. |
| 260 | ▼a Boston : ▼b Kluwer Academic Publishers, ▼c 1998. | |
| 300 | ▼a xxii, 190 p. : ▼b ill. ; ▼c 25 cm. | |
| 440 | 4 | ▼a The Kluwer international series in software engineering ; ▼v 3 |
| 504 | ▼a Includes bibliographical references (p. 185-188) and index. | |
| 650 | 0 | ▼a C (Computer program language) |
| 650 | 0 | ▼a Software engineering. |
| 653 | 0 | ▼a Software ▼a Engineering |
| 700 | 1 | ▼a Quilici, Alexander E. |
| 700 | 1 | ▼a Yang, Qiang |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 세종학술정보원/과학기술실(5층)/ | 청구기호 005.133 W897c | 등록번호 151081270 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
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 courses in software engineering, reverse engineering, or reengineering. It can also serve as a supplementary textbook for software engineering-related courses, such as those on program understanding or design recovery, for AI-related courses, such as those on plan recognition or constraint satisfaction, and for courses that cover both topics, such as those on AI applications to software engineering. ORGANIZATION The book comprises eight chapters.
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 courses in software engineering, reverse engineering, or reengineering. It can also serve as a supplementary textbook for software engineering-related courses, such as those on program understanding or design recovery, for AI-related courses, such as those on plan recognition or constraint satisfaction, and for courses that cover both topics, such as those on AI applications to software engineering. ORGANIZATION The book comprises eight chapters.
정보제공 :
목차
Preface. List of Figures. 1. Introduction. 2. Plan-Based Program Understanding. 3. Program Understanding and Constraint Satisfaction. 4. Initial Experiments with Concept Recovery. 5. Additional Experiments with Concept Recovery. 6. Program Understanding and AI Plan Recognition. 7. Improving Our Constraint-Based Approach. 8. Conclusions. References. Index.
정보제공 :