Method Points: towards a metric for method complexity

<body> <table width="100%"> <tr> <td align="center"> This page requires frames. <a href="http://dl.acs.org.au/index.php/ajis/article/viewArticle/317">Click here</a> for the non-frames version. <p>Non-frames version <a href="http://dl.acs.org.au/index.php/ajis/article/viewArticle/317">available</a>.</p> </td> </tr> </table> <h1>Method Points: towards a metric for method complexity</h1> <h2><i>Graham McLeod</i></h2> <h3>Australasian Journal of Information Systems</h3> <h4>Abstract</h4> <div>A metric for method complexity is proposed as an aid to choosing between competing methods, as well as in validating the effects of method integration or the products of method engineering work. It is based upon a generic method representation model previously developed by the author and adaptation of concepts used in the popular Function Point metric for system size. The proposed technique is illustrated by comparing two popular I.E. deliverables with counterparts in the object oriented Unified Modeling Language (UML). The paper recommends ways to improve the practical adoption of new methods.</div> </body>