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Search based hierarchy generation for reverse engineered state machines

Published: 09 September 2011 Publication History
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  • Abstract

    Abstraction is a valuable tool that can play an important role in reducing the cost of maintenance of software systems. Despite the cost reduction abstract documentation can provide, the cost of generating documentation that offers an implementation-independent overview of the system often outweighs it. This has been the motivating force for tools and techniques that reduce the cost of documentation generation, including this work.
    State machines offer an ideal level of abstraction and techniques to infer them from machines are already mature. Despite this, the abstraction state machines provide is restricted as they become unmanageable when they are of any significant size. As a result, inference tools are only ideal for those who are already familiar with the system.
    This work focuses on making state machines useful for larger systems. In order to do so the complexity of a machine needs to be reduced; this is realised by introducing a hierarchy to the machine, making them closer to Harel's Statechart formalism (without concurrency).

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    cover image ACM Conferences
    ESEC/FSE '11: Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
    September 2011
    548 pages
    ISBN:9781450304436
    DOI:10.1145/2025113
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 09 September 2011

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    Author Tags

    1. bunch
    2. hierarchy generation
    3. hill-climbing
    4. search-based clustering
    5. state machines

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