SmarTest - isa.us.es · Testing real highly-configurable tools Artificial models to test Ana B....

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SmarTest: Accelerating the detection of faults in Drupal

Ana Belén Sánchez

http://www.isa.us.es/members/anabelen.sanchez

Ana Belén Sánchez, Sergio Segura, Antonio Ruiz-Cortés, Gabriel Hidalgo

anabsanchez@us.es

Research Group of Applied Software Engineering

(www.isa.us.es)

Escuela Técnica Superior de Ingeniería Informática University of Seville

I am a researcher and a teacher

Why am I here, in a DrupalCon?

Ph.D. in automated testing on variability-intensive systems

Variability-intensive systems

Variability-intensive systems

Mandatory Optional

Alternative (choose 1) Or

Excludes

Requires

A Feature Model represents all the possible configurations of the Variability-intensive system in terms of features and relationships among them.

= {MobilePhone, Calls, Screen, High resolution, Media, Camera}

Feature

Testing problems

Too many configurations!

Time-consuming

Testing variability-intensive systems

Test case selection techniques reduce the test space by selecting a portion of the configurations to be tested.

Testing variability-intensive systems

Test case prioritization techniques schedule test cases for execution in an order that attempts to increase their effectiveness at meeting some performance goal.

Testing variability-intensive systems

How to evaluate these testing techniques?

Artificial models to test

Towards real highly-configurable tools

Artificial models to test

Studied Tools

Testing real highly-configurable tools

1.  Available code

2.  Detailed fault reports

3.  Automated test cases

4.  Extensive documentation

5.  > 630,000 users and developers

6.  > 30,000 modules

Testing real highly-configurable tools

Artificial models to test

Ana B. Sánchez, Sergio Segura, Jose A. Parejo and Antonio Ruiz Cortés. Variability Testing in the Wild: The Drupal Case Study Published in Software and Systems Modeling Journal, 2015

(http://www.isa.us.es/publications/type/article-journal/9998/variability-testing-wild-drupal-case-study)

Our approach: The Drupal case study

Artificial models to test

Module .info files

Drupal documentation

Module JIT

The Drupal variability model Drupal 7.23

Node Filter CtoolsFile

Options

Path

Blog Forum Ctools access ruleset

Ctools custom content

Views content

Field Field UI

Field SQL storage

ImageSystem UserViews

Views UITaxonomy

Comment

Text

Date

Token

Forum Requires Taxonomy Views content Requires Views Panels IPE Requires Ctools Rules Requires Entity tokens Forum Requires Options Taxonomy Requires Options Panel Nodes Requires Ctools Rules scheduler Requires Entity APIForum Requires Comment Date views Requires Ctools Pathauto Requires Token Rules scheduler Requires Entity tokensImage Requires File Date views Requires Views Pathauto Requires Path Rules UI Requires Entity API Views Requires Ctools Panels Requires Ctools Rules Requires Entity API Rules UI Requires Entity tokens Views UI Requires Ctools

PathautoIMCE

Date views

Date popup

Date API

WebForm

Link EntityAPI

Entitytokens

CKEditor Captcha

ImageCaptcha

Features Panels

Panel nodes

Panels IPE

LibrariesAPI

JqueryUpdate

GoogleAnalytics

Rules

Rules UIRulesscheduler

Backupmigrate

MandatoryOptional

48 modules 21 dependencies 2,000 millions of configurations

Drupal information

LoC

Module Size

Changes Commits

Tests 352 test cases 24152 assertions

Drupal information

CC

Cyclomatic Complexity

Drupal Installations

Drupal Contributors

Drupal faults

Bug tracking System

3.232 Faults in v7.23

160 integration faults:

•  132 caused by 2 modules

•  25 caused by 3 modules

•  3 caused by 4 modules

Statistical study

Module Size Faults Module

Changes Faults

Faults v7.22

Faults v7.23

Module CC Faults

C1 C2

C3 C4

Statistical study

Module Developers

Faults Tests ? Faults?

Optional Modules Faults

91 %

Core Mandatory Modules Faults

41 %

C5 C6

Test case prioritization criteria

Size–driven Criterion

Fault–driven Criterion

CC-driven Criterion

Change–driven Criterion

Priori%za%on  criteria  based  on  previous  sta%s%cal  study    

Test case prioritization criteria

94.2 % Test case selection

Fault-driven Prioritization

2.

Could we accelerate the detection of faults in Drupal using previous information?

86.2 % Test case selection

1.

Applying our proposal to Drupal

SimpleTest

Anayzing the SimpleTest module

Main view SimpleTest

Our proposal: SmarTest

Main view SmarTest

Our proposal: SmarTest

Our proposal: SmarTest

Our proposal: SmarTest

Test Prioritization SmarTest

Our proposal: SmarTest

Continuos feedback in real time SmartTest

Our proposal: SmarTest

Our proposal: SmarTest

Conclusions

¿What improvements do we add to SimpleTest?  

SimpleTest ü  Designed to make testing easier

ü  A powerful automated testing

ü  Selector to select tests to execute

ü  Detailed inform. about test execution

ü  Possibility to follow the trace of errors

SmarTest ü  Customizable Dashboard with run-time extracted data to guide the testing

ü  Test prioritization to detect faults faster

ü  Automated testing with feedback in real time

ü  Time-out option to automatically stop the test execution

Conclusions

Things that we are working on …  

•  Add new widgets to the dashboard.

•  Include multi-prioritization criteria (based on genetic algorithms to detect faults faster).

•  Study the integration of SmarTest with other test systems: Behat, phpUnit… •  Get SmarTest is accepted in Drupal. Now is in Sandbox: https://www.drupal.org/sandbox/annasan/2503695

•  ¿Any suggestions?

Acknowledgments

 This work was partially supported by the European Commission (FEDER), the Spanish and the Andalusian R&D&I programmes (Grants IPT-2012-0890-390000 (SAAS FIRE- 46 WALL), TIN2012-32273 (TAPAS), TIC-5906 (THEOS), TIC-1867 (COPAS)).

“Research is to see what everybody else has seen, and to think what nobody else has thought".

– Albert Szent-Gyorgyi, 1893–1986 Hungarian Biochemist, 1937 Nobel Prize for Medicine

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