Reading PAGE

Peer Evaluation activity

Downloads 427
Views 39
Followed by 2
Following... 1

Total impact ?

    Send a

    Stefan has...

    Trusted 0
    Reviewed 0
    Emailed 0
    Shared/re-used 0
    Discussed 0
    Invited 0
    Collected 0

     

    This was brought to you by:

    block this user Stefan Trausan-Matu Trusted member

    Professor

    Computer Science Department, Politehnica University of Bucharest
    Research Institute for Artificial Intelligence

    An Evolutionary Knowledge-Based Framework for Reverse and Forward Engineering

    Export to Mendeley

    The paper describes a knowledge-based framework for the development of program reverse and forward engineering. The substrate for this framework is an object-oriented environment for knowledge-based applications (XRL) written in Common Lisp. The approach starts from the idea that forward and reverse engineering are evolutive, knowledge intensive activities. Regarding the development of knowledge-based systems, knowledge acquisition is considered as a modelling activity that implies not only the evolution of the knowledge base of the system but also the evolution of the mental model that the human experts actually use. Therefore, an integrated collection of tools and techniques that support the construction, evolution, and usage of knowledge-based models of programming concepts and constructs are provided. An evolutive taxonomy of reusable program components related to programming concepts is also considered essential for the approach. One of the main applications written in the knowledge-based framework is the development of an intelligent reverse engineering system of FORTRAN programs. After obtaining a high level description of an analyzed program, this description may be refined to C or pseudocode. 2 1.

    Oh la laClose

    Your session has expired but don’t worry, your message
    has been saved.Please log in and we’ll bring you back
    to this page. You’ll just need to click “Send”.

    Your evaluation is of great value to our authors and readers. Many thanks for your time.

    Review Close

    Short review
    Select a comment
    Select a grade
    You and the author
    Anonymity My review is anonymous( Log in  or  Register )
    publish
    Close

    When you're done, click "publish"

    Only blue fields are mandatory.

    Relation to the author*
    Overall Comment*
    Anonymity* My review is anonymous( Log in  or  Register )
     

    Focus & Objectives*

    Have the objectives and the central topic been clearly introduced?

    Novelty & Originality*

    Do you consider this work to be an interesting contribution to knowledge?

    Arrangement, Transition and Logic

    Are the different sections of this work well arranged and distributed?

    Methodology & Results

    Is the author's methodology relevant to both the objectives and the results?

    Data Settings & Figures

    Were tables and figures appropriate and well conceived?

    References and bibliography

    Is this work well documented and has the bibliography been properly established?

    Writing

    Is this work well written, checked and edited?

    Write Your Review (you can paste text as well)
    Please be civil and constructive. Thank you.


    Grade (optional, N/A by default)

    N/A 1 1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 6.5 7 7.5 8 8.5 9 9.5 10
    Close

    Your mailing list is currently empty.
    It will build up as you send messages
    and links to your peers.

     No one besides you has access to this list.
    Close
    Enter the e-mail addresses of your recipients in the box below.  Note: Peer Evaluation will NOT store these email addresses   log in
    Your recipients

    Your message:

    Your email : Your email address will not be stored or shared with others.

    Your message has been sent.

    Description

    Title : An Evolutionary Knowledge-Based Framework for Reverse and Forward Engineering
    Author(s) : Stefan Trausan-Matu
    Abstract : The paper describes a knowledge-based framework for the development of program reverse and forward engineering. The substrate for this framework is an object-oriented environment for knowledge-based applications (XRL) written in Common Lisp. The approach starts from the idea that forward and reverse engineering are evolutive, knowledge intensive activities. Regarding the development of knowledge-based systems, knowledge acquisition is considered as a modelling activity that implies not only the evolution of the knowledge base of the system but also the evolution of the mental model that the human experts actually use. Therefore, an integrated collection of tools and techniques that support the construction, evolution, and usage of knowledge-based models of programming concepts and constructs are provided. An evolutive taxonomy of reusable program components related to programming concepts is also considered essential for the approach. One of the main applications written in the knowledge-based framework is the development of an intelligent reverse engineering system of FORTRAN programs. After obtaining a high level description of an analyzed program, this description may be refined to C or pseudocode. 2 1.
    Subject : unspecified
    Area : Other
    Language : English
    Year : 1994

    Affiliations Computer Science Department, Politehnica University of Bucharest
    Journal : Studies in Informatics and Control
    Volume : 3
    Issue : 4
    Pages : 309-323
    Url : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.23.4577
    Doi : 10.1.1.23.4577

    Leave a comment

    This contribution has not been reviewed yet. review?

    You may receive the Trusted member label after :

    • Reviewing 10 uploads, whatever the media type.
    • Being trusted by 10 peers.
    • If you are blocked by 10 peers the "Trust label" will be suspended from your page. We encourage you to contact the administrator to contest the suspension.

    Does this seem fair to you? Please make your suggestions.

    Please select an affiliation to sign your evaluation:

    Cancel Evaluation Save

    Please select an affiliation:

    Cancel   Save

    Stefan's Peer Evaluation activity

    Downloads 427
    Views 39
    Followed by 2
    Following... 1

    Stefan has...

    Trusted 0
    Reviewed 0
    Emailed 0
    Shared/re-used 0
    Discussed 0
    Invited 0
    Collected 0
    Invite this peer to...
    Title
    Start date (dd/mm/aaaa)
    Location
    URL
    Message
    send
    Close

    Full Text request

    Your request will be sent.

    Please enter your email address to be notified
    when this article becomes available

    Your email


     
    Your email address will not be shared or spammed.