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Alon Zanbar. Empirical Evaluation of Autonomous Agents Software using Code Metrics. Master's Thesis, Bar Ilan University,2022.
Empirical research based on agent software repositories using commonly used software metrics, which are used in software engineering literature to quantify meaningful characteristics of software based on its source code. In the first part agent software measurements are contrasted with those of software in other categories. Analyzing hundreds of software projects the commonality and uniqueness of the two groups is presented. The second part describes an attempt to use the information extract from the code metrics to identify behaviors that impact program performance.
@mastersthesis{zanbar-msc,
author = {Alon Zanbar},
title = {Empirical Evaluation of Autonomous Agents Software using Code Metrics},
school = {{B}ar {I}lan {U}niversity},
year = {2022},
OPTkey = {},
OPTtype = {},
OPTaddress = {},
OPTmonth = {},
OPTnote = {Available at \url{http://www.cs.biu.ac.il/~galk/Publications/b2hd-zanbar-msc.html}},
OPTannote = {},
wwwnote = {},
abstract = {Empirical research based on agent software repositories using commonly used software metrics, which are used in software engineering literature to quantify meaningful characteristics of software based on its source code. In the first part agent software measurements are contrasted with those of software in other categories. Analyzing hundreds of software projects the commonality and uniqueness of the two groups is presented. The second part describes an attempt to use the information extract from the code metrics to identify behaviors that impact program performance.
},
}
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