bahamas.software_total_failure_probability_bbn

Attributes

logger

Classes

BBN

Bayesian belief network for reliability analysis of software

Module Contents

bahamas.software_total_failure_probability_bbn.logger[source]

class bahamas.software_total_failure_probability_bbn.BBN(defect_file, task_file, num_samples=1000, approx=False, data=None, seed=42)[source]

Bases: object

Bayesian belief network for reliability analysis of software

num_samples = 1000[source]

_approx = False[source]

_data = None[source]

_uca = ['UCA-A', 'UCA-B', 'UCA-C', 'UCA-D'][source]

_odc = ['Algorithm', 'Assignment', 'Checking', 'Documentation', 'Function', 'Interface',...[source]

_sdlc = ['Concept', 'Requirement', 'Design', 'Implementation', 'Testing', 'Install and Maintenance'][source]

_defect[source]

_task[source]

prob_stage[source]

prob_odc[source]

prob_dcp[source]

prob_total = None[source]

prob_uca[source]

_hemd_dist[source]

prob_stage_odc[source]

prob_uca_correlation[source]

_G = 0.25[source]

review_trigger_factor[source]

initialize_stage()[source]

calculate()[source]: Calculate software failure probability based on BBN

get_total_failure_probability()[source]

Get total failure probability

Returns:: mean, sigma, and samples
Return type:: tuple

get_uca(uca_type)[source]

Get UCA probability

Parameters:: uca_type (str) – Type of UCA
Returns:: mean, sigma, and samples
Return type:: tuple

plot(type='all', save=False, show=True)[source]

Plot calculated data

Parameters:

type (str, optional) – Type of plots to plot (defaults to ‘all’)
save (bool, optional) – Save plots into .png file if True (defaults to False)

Returns:

plotly figure object

Return type:

list or figure object