Object-oriented software development effort prediction using design patterns from object interaction analysis

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Title: Object-oriented software development effort prediction using design patterns from object interaction analysis
Author: Adekile, Olusegun
Abstract: Software project management is arguably the most important activity in modern software development projects . In the absence of realistic and objective management , the software development process cannot be managed in an effective way . Software development effort estimation is one of the most challenging and researched problems in project management . With the advent of object -oriented development , there have been studies to transpose some of the existing effort estimation methodologies to the new development paradigm . However , there is not in existence a holistic approach to estimation that allows for the refinement of an initial estimate produced in the requirements gathering phase through to the design phase . A SysML point methodology is proposed that is based on a common , structured and comprehensive modeling language (OMG SysML ) that factors in the models that correspond to the primary phases of object -oriented development into producing an effort estimate . This dissertation presents a Function Point -like approach , named Pattern Point , which was conceived to estimate the size of object -oriented products using the design patterns found in object interaction modeling from the late OO analysis phase . In particular , two measures are proposed (PP1 and PP2 ) that are theoretically validated showing that they satisfy wellknown properties necessary for size measures . An initial empirical validation is performed that is meant to assess the usefulness and effectiveness of the proposed measures in predicting the development effort of object -oriented systems . Moreover , a comparative analysis is carried out ; taking into account several other size measures . The experimental results show that the Pattern Point measure can be effectively used during the OOA phase to predict the effort values with a high degree of confidence . The PP2 metric yielded the best results with an aggregate PRED (0 .25 ) = 0 .874 .
URI: http : / /hdl .handle .net /1969 .1 /ETD -TAMU -2329
Date: 2009-05-15

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Object-oriented software development effort prediction using design patterns from object interaction analysis. Available electronically from http : / /hdl .handle .net /1969 .1 /ETD -TAMU -2329 .

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