Bayesian and Fuzzy Approach to Assess and Predict the Maintainability of Software: A Comparative Study

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">Name</td><td align="left">Value</td><td align="left">Details</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Average change efforts</td><td align="left">Numeric [effort required to make change in a software development project measured in person hours and expressed in numeric range]</td><td align="left">Indicator of impact of activities on quality of the software. The more the average change efforts, the less maintainable the software, and hence, lower the quality</td></tr><tr><td align="left">Maintenance, implementation, analysis, and quality assurance</td><td align="left">Low, medium, and high</td><td align="left">Activities performed on or within the system</td></tr><tr><td align="left">Probability</td><td align="left">Numeric [in the range of 0.0–1.0]</td><td align="left">Probability of “average change efforts” to be in some specified range provided the occurrence of “maintenance” activity</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

International Scholarly Research Notices

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Table 1: Bayesian and Fuzzy Approach to Assess and Predict the Maintainability of Software: A Comparative Study 