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The great drawback of reverse engineering is recovering design information from legacy code: the `concept restoration' disadvantage. This monograph describes up-to-date evaluation dealing with this disadvantage. It discusses an idea of how a constraint-based technique to program plan recognition can successfully extract design concepts from provide code, and it particulars experiments in concept restoration that assist the authors' claims of scalability. Constraint-Based Design Recovery for Software Reengineering: Theory and Experiments presents fashions and experiments in sufficient factor in order that they’re typically merely replicated.
This book is supposed for researchers or software builders concerned with reverse engineering or reengineering legacy strategies. However, it may also curiosity these researchers who’re in using plan recognition strategies or constraint-based reasoning. The reader is predicted to have a cheap laptop science background (i.e., familiarity with the basics of programming and algorithm analysis), nevertheless simply is not required to have a familiarity with the fields of reverse engineering or artificial intelligence (AI).
This book is designed as a reference for superior undergraduate or graduate seminar packages in software engineering, reverse engineering, or reengineering. It might truly moreover perform a supplementary textbook for software engineering-related packages, corresponding to those on program understanding or design restoration, for AI-related packages, resembling these on plan recognition or constraint satisfaction, and for packages that cowl every topics, akin to those on AI functions to software engineering.
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