Reading PAGE

Peer Evaluation activity

Downloads 12
Views 21

Total impact ?

    Send a

    Markus 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 Markus Zanker Trusted member

    Associate Professor

    Alpen-Adria-Universitaet Klagenfurt, 9020 Klagenfurt

    Recommending effort estimation methods for software project management 1

    Export to Mendeley

    Estimating a project's effort or schedule is a crucial task for software project management. However, project leaders are often overwhelmed when selecting an appropriate estimation method to best match the project characteristics and context. Recommender systems (RS) are applications that typically support online users when confronted with large sets of choices. Knowledge-based recommenders are a specific variant of these systems that exploit explicit knowledge models in order to infer matching items based on a set of specific requirements. This paper's contribution lies in its application of knowledge-based recommendation mechanisms to the domain of software project management and presents a recommender for effort estimation methods. An initial evaluation among software professionals showed promising results and disclosed helpful hints for further development.

    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 : Recommending effort estimation methods for software project management 1
    Author(s) : Bernhard Peischl, Mihai Nica, Markus Zanker, Wolfgang Schmid
    Abstract : Estimating a project's effort or schedule is a crucial task for software project management. However, project leaders are often overwhelmed when selecting an appropriate estimation method to best match the project characteristics and context. Recommender systems (RS) are applications that typically support online users when confronted with large sets of choices. Knowledge-based recommenders are a specific variant of these systems that exploit explicit knowledge models in order to infer matching items based on a set of specific requirements. This paper's contribution lies in its application of knowledge-based recommendation mechanisms to the domain of software project management and presents a recommender for effort estimation methods. An initial evaluation among software professionals showed promising results and disclosed helpful hints for further development.
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2009

    Affiliations Alpen-Adria-Universitaet Klagenfurt, 9020 Klagenfurt
    Journal : Intelligence
    Volume : 3
    Publisher : IEEE COMPUTER SOC
    Pages : 77-80
    Url : http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5284937
    Doi : 10.1109/WI-IAT.2009.235

    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

    Markus's Peer Evaluation activity

    Downloads 12
    Views 21

    Markus 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.