Charla TestingUy 2019 - Inteligencia Artificial y Testing: ¿Qué está pasando?

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Expositor: Guillermo Skrilec Resumen: Hemos sido invadidos por software que utiliza Inteligencia Artificial para resolver problemas donde antes se necesitaba una persona para hacerlo. Recibimos mucha información de distintas herramientas que están usando Inteligencia Artificial para probar aplicaciones automáticamente. Tenemos que entender lo que está pasando con Inteligencia Artificial en el mundo del Testing, este es el objetivo de la charla.

Technologie

@gskrilec| @QAlifiedUy | #testinguy
Artificial Intelligence
and Testing:
What’s going on?
Guillermo Skrilec
gskrilec@qalified.com
@gskrilec
13 y 14 de mayo, 2019
testinguy.org
@testinguy | #testinguy
CHARLA

@gskrilec| @QAlifiedUy | #testinguy
Understanding AI
Testing AI
Applications
AI applied to
Testing

@gskrilec| @QAlifiedUy | #testinguy
Non-AI Systems
SYSTEM
Output
USER
DEVELOPER
DETERMINISTIC
LOGIC

@gskrilec| @QAlifiedUy | #testinguy
AI Systems
PROBABILISTIC
LOGIC
USER
DEVELOPER
SYSTEM
Output
“Defines rules”
LEARNING
ALGORITHM
Train

@gskrilec| @QAlifiedUy | #testinguy
Deep Learning (Supervised Learning)
Define
problem
Collect data
Define
model
Training Testing
- Selection
- Labeled
- Pre-processing
- Validation

@gskrilec| @QAlifiedUy | #testinguy
Testing AI Applications

@gskrilec| @QAlifiedUy | #testinguy
Critical Challenge for AI
Training Data
Learning
Process
Learned
Function
This is a dog
(p = 0.93)
When do you fail?
When can I trust you?
How do I correct an error?
¿?
Why did you do that?
Why not something else?
When do you succeed?

@gskrilec| @QAlifiedUy | #testinguy
What do Neural Networks see?
http://scs.ryerson.ca/~aharley/vis/conv/flat.html

@gskrilec| @QAlifiedUy | #testinguy
Data Biases

@gskrilec| @QAlifiedUy | #testinguy
https://twitter.com/michaelbolton/status/1095802062099632131

@gskrilec| @QAlifiedUy | #testinguy
“We must keep laser-focused on problems in code, training data,
testing data, and ethics, lest AI becomes Arrogant Incompetence and
Amplified Injustice.”
Michael Bolton

@gskrilec| @QAlifiedUy | #testinguy
AI is not explainable
+
Data biases
=
Bugs

@gskrilec| @QAlifiedUy | #testinguy
Training

@gskrilec| @QAlifiedUy | #testinguy
Training
Underfitting Appropriate Overfitting
A wrong answer might be OK?

@gskrilec| @QAlifiedUy | #testinguy
Recall vs Precision

@gskrilec| @QAlifiedUy | #testinguy
Testing AI Applications Recap
Bugs: Recall
or Precision?
AI is
Not Explainable
¿? Data defines
Success

@gskrilec| @QAlifiedUy | #testinguy
AI applied to Testing

@gskrilec| @QAlifiedUy | #testinguy
Test Automation
Click shopping cart

@gskrilec| @QAlifiedUy | #testinguy
Test Automation
AI -> Object detection
https://cloud.google.com/vision/
Still didn’t find that
shopping cart…
Google can’t find it.
How can we?
We build our “own” ML for
testing.

@gskrilec| @QAlifiedUy | #testinguy
Test Automation

@gskrilec| @QAlifiedUy | #testinguy
Test Automation
Model Training
2 hours later…

@gskrilec| @QAlifiedUy | #testinguy
Test Automation
https://github.com/testdotai/appium-classifier-plugin
https://medium.com/testdotai/adding-ai-to-appium-f8db38ea4fac

@gskrilec| @QAlifiedUy | #testinguy
Jason Arbon
“People fear automation, but I fear the
distracted driver. I also fear emotion-driven
regulation and testing practices based on
anecdotes instead of statistics and fact.”

@gskrilec| @QAlifiedUy | #testinguy
https://twitter.com/michaelbolton/status/1123939393721511944

@gskrilec| @QAlifiedUy | #testinguy
Test Autonomy Levels

@gskrilec| @QAlifiedUy | #testinguy
Guillermo Skrilec
gskrilec@qalified.com
@gskrilec
13 y 14 de mayo, 2019
testinguy.org | @testinguy | #testinguy
¿PREGUNTAS?
¡MUCHAS GRACIAS!

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Expositores: Paula Martínez y Rodrigo Beceiro Resumen: En esta charla compartiremos nuestra experiencia en el testing de Chatbots. Veremos cómo funciona un chatbot y cuál es el estado del arte en esta tecnología. Hablaremos del procesamiento del lenguaje natural realizado por ellos buscando comprender qué debemos testear. Analizaremos tanto la comprensión del chatbot como el manejo de sus flujos de diálogo y las dificultades que las conversaciones naturales no estructuradas representan para nosotros en el diseño, desarrollo así como en el testing. Hablaremos también de herramientas de testing automático para chatbots y discutiremos qué limitantes presentan para nosotros herramientas como IBM Watson, Microsoft LUIS y Google Dialogflow.

Charla TestingUy 2019 - Testing de chatbots

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Expositor: Didier Corrales Resumen: En un ambiente de desarrollo ágil, las pruebas son fundamentales, entonces ¿qué tal si llevamos la automatización al siguiente nivel?. Hay que olvidarse de los estándares más comunes y abrir la mente a aprender cómo mejorar la automatización por medio del uso de herramientas de siguiente generación. Cypress.io permite a todo el equipo lograr las metas que se han trazado en automatización combinando desarrolladores y testers en un solo esfuerzo para crear productos con los más altos estándares de calidad.

Charla TestingUy 2019 - Cypress.io - Automatización al siguiente nivel

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Expositores: Matías González, Paula Reyes y William Llanes Resumen: El desarrollo de sistemas de información ha evolucionado a lo largo de tiempo y las tareas de QA como parte de este proceso no han sido la excepción. Tomando como base nuestra experiencia a lo largo de más de 10 años brindando servicios de consultoría en este tipo de proyectos haremos una breve recorrida de cómo ha sido esta evolución desde diferentes perspectivas que involucran al QA. Veremos cómo estos procesos se han ido transformando desde diversos aspectos en busca de mejorar la productividad y minimizar los riesgos propios de cada proyecto. Por último comentaremos cuáles son las nuevas tendencias en la solicitud de servicios de QA en Uruguay así como los principales desafíos que afronta el área y cómo los mismos impactarán en los servicios tal como los conocemos hoy en día.

Charla testingUy 2019 - ¿De dónde venimos y qué se nos viene? - Evolución de ...

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Expositor: Anisbert Suárez Batista Resumen: Las pruebas de rendimiento tienen un papel crucial para garantizar la calidad del servicio que ofrece PedidosYa, plataforma de comercio electrónico que conecta a los consumidores con restaurantes, farmacias, supermercados, etc., mediante la solicitud de pedidos online. Durante esta charla se presenta cómo contribuyen las pruebas de rendimiento al proceso de desarrollo, qué aplicaciones prácticas han tenido, qué herramientas se utilizan para la planificación, ejecución y reporte de las pruebas y qué lecciones aprendidas y buenas prácticas han permitido la mejora continua del proceso de prueba.

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Charla TestingUy 2019 - Inteligencia Artificial y Testing: ¿Qué está pasando?

1. @gskrilec| @QAlifiedUy | #testinguy Artificial Intelligence and Testing: What’s going on? Guillermo Skrilec gskrilec@qalified.com @gskrilec 13 y 14 de mayo, 2019 testinguy.org @testinguy | #testinguy CHARLA

2. @gskrilec| @QAlifiedUy | #testinguy Understanding AI Testing AI Applications AI applied to Testing

3. @gskrilec| @QAlifiedUy | #testinguy Non-AI Systems SYSTEM Output USER DEVELOPER DETERMINISTIC LOGIC

4. @gskrilec| @QAlifiedUy | #testinguy AI Systems PROBABILISTIC LOGIC USER DEVELOPER SYSTEM Output “Defines rules” LEARNING ALGORITHM Train

5. @gskrilec| @QAlifiedUy | #testinguy Deep Learning (Supervised Learning) Define problem Collect data Define model Training Testing - Selection - Labeled - Pre-processing - Validation

6. @gskrilec| @QAlifiedUy | #testinguy Testing AI Applications

7. @gskrilec| @QAlifiedUy | #testinguy Critical Challenge for AI Training Data Learning Process Learned Function This is a dog (p = 0.93) When do you fail? When can I trust you? How do I correct an error? ¿? Why did you do that? Why not something else? When do you succeed?

8. @gskrilec| @QAlifiedUy | #testinguy What do Neural Networks see? http://scs.ryerson.ca/~aharley/vis/conv/flat.html

9. @gskrilec| @QAlifiedUy | #testinguy Data Biases

10. @gskrilec| @QAlifiedUy | #testinguy Data Biases

11. @gskrilec| @QAlifiedUy | #testinguy Data Biases

12. @gskrilec| @QAlifiedUy | #testinguy https://twitter.com/michaelbolton/status/1095802062099632131

13. @gskrilec| @QAlifiedUy | #testinguy “We must keep laser-focused on problems in code, training data, testing data, and ethics, lest AI becomes Arrogant Incompetence and Amplified Injustice.” Michael Bolton

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15. @gskrilec| @QAlifiedUy | #testinguy Training

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17. @gskrilec| @QAlifiedUy | #testinguy Recall vs Precision

18. @gskrilec| @QAlifiedUy | #testinguy Testing AI Applications Recap Bugs: Recall or Precision? AI is Not Explainable ¿? Data defines Success

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