Learn R Programming

bnRep (version 0.0.3)

softwarelogs2: softwarelogs Bayesian Networks

Description

Bayesian Network analysis of software logs for data‐driven software maintenance.

Arguments

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

Format

A discrete Bayesian network to discover poor performance indicators in a system and to explore usage patterns that usually require temporal analysis. The networks are given in the referenced paper. The vertices are:

page_t_0

(A128GCM, dir, HS512, SunJSSE version 1.8, AdminCron, AdminLeagues, AdminMarket, AdminNotices, AdminSuggestion, AdminSuggestions, AdminUser, AdminUsers, AllLeagues, Bid, Calendar, Classification, Cron, DirectorOfChess, ErrorPage, Finance, Help, Index, Invite, LastMovements, League, Lineup, Market, MarketOperations, NewAccount, NewPassword, NewSuggestion, OfferPlayer, OldSeasons, Play, Player, Privacy, Results, SearchPlayer, Start, Team, Trainer, Transactions, UserConfiguration, ViewOffers);

user_type_t_0

(active, ocasional, regular, very active);

load_time_t_0

(high, low, medium, optimal);

time_on_page_t_0

(high, low, medium, very low).

References

del Rey, S., Martinez-Fernandez, S., & Salmeron, A. (2023). Bayesian Network analysis of software logs for data-driven software maintenance. IET Software, 17(3), 268-286.