Development of software metrics framework for hierarchical performance evaluation of multi agent systems
Vengattaraman Thirumal · INFLIBNET · 2010
This research work proposes a set of enhanced measurement schemes for evaluating the performance of the Multi Agent Systems (MASs) at refined grained levels. This work has been primarily motivated by the fact that a fine grained measurement framework seems to be a better approach for quantifying the MAS performance attributes and hence they can facilitate the designers and developers to assess the MASs at different hierarchies. The goals of this research are derived such that to extend the support to the intended users to evaluate the performance of the MAS at different levels and they are defined as follows: I. Improve the level of granularization of measuring the performance attributes in MASs. II. Quantify the performance issues of MASs at the extended fine grained levels. III. Improve the performance evaluation schemes of MASs at different hierarchies. Here the goals are much focused and more quantifiable. The first goal reflects the level of decomposition of the MAS models w.r.t. the scheme of performance evaluation and the second goal is measurement-oriented, in which it is supposed to measure the internal components of the outcomes of the first goal. The results of these two goals form a base for the third goal, which depicts the significance of the proposed research.