por Maria José Pérez Zavala.

1. Los nuevos desafíos del Testing

2. Ing. María José Pérez Zavala, UTN - FRBA
QA Technical Director at Globant
María José es Ingeniera en Sistemas de Información, certificada en ISTQB
con más de 17 años de experiencia en el área de Calidad en la Industria
del desarrollo de Software.
Tiene experiencia trabajando tanto en Control de Calidad o Testing como
en QA en la definición e implementación de procesos.
Su paso por proyectos para distintos tipos de industrias, tanto para
pequeñas empresas como multinacionales, le ha dado la posibilidad de
adquirir experiencia y desarrollar su especialización confrontando
importantes desafíos tanto tecnológicos como de procesos.
Su experiencia comprende tanto metodologías de testing tradicionales
como agile, para proyectos como e-commerce, websites, mobile
applications, gaming, CMSs entre otros.
En los últimos años trabajando en Globant ha ocupado diversidad de
roles, actualmente está focalizada en gestión y liderazgo de equipos, así
como consultoría y desarrollo de estrategias y procesos de testing para
gran diversidad de clientes.

3. ● Today’s challenges
● Technology tendencies, What to test?
● Planning the Testing scope
Objectives

4. Companies engage with “technology voracious” users, customers, employees, partners...
that have high expectations.
Users want to create an emotional tie with brands, which will increase loyalty
They demand for personalized experiences
Today’s challenge

5. The Software Industry has a challenge...
is time to ADAPT!!
Mobile | Big Data | Cloud | Internet of things | UX | Gamification | and more...
Emerging technologies create a HUGE
opportunity

6. Integrated systems - Multi-platformSingle applications
Fragmentation vs Integration and flexibility

7. Testing Cross-Browser compatibility
Different browser, same Look and feel and
Functionality
- Responsive Web Design
- Adaptive Web Design

8. Cloud Wearable > Big Data < Internet of Things
Much more to test
Internet of Things

9. Volume Velocity Variety Veracity
Gigabytes to Terabytes
(1000 GB)
DATAWAREHOUSE
BIG DATA
Petabytes (1000 TB) to
Exabytes (1000 PB)
Batch
Near real time
Simplified, Structured
Data from relational database
Complex, Semi or Unstructured
Data from non-relational flat file
storage
Distributed data sources
Centralized data
Big Data - Challenges regarding testing strategy
DATA ERRORS METRICS CALCULATION ERRORS PERFORMANCE ISSUES INFRASTRUCTURE FAILURESDATA AND ENVIRONMENT NOT READY

10. Testing approach
Traditional Agile

11. Planning the testing scope
SupportingTeam
Q2
Functional Tests
Examples
Story Tests
Prototypes
Simulations
Q1
Unit Tests
Component Test
Testing
Connectivity
Quadrants by Lisa Crispin and Janet Gregory

12. Requirements, Test
Cases & Defect
Mgmt.
Functional
Automation -
Licensed
Functional
Automation - Open
Source
Functional
Automation - Open
Source
Functional
Automation - CI &
BDD
Non-Functional
(Performance,
Security)
Test Case Management
Test Case Management
Test Case Management
Code Reviews
JS based automation
framework
Webdriver.io
Robot Framework
Angular js based
framework
Web based automation
Context Sensitive
Mobile Automation
(iOS/Android)
Unit Testing
framework
BDD (Behavior driven
framework)
BDD Test execution
Continuous Integration
Continuous Integration
Performance testing
Load & performance
Testing Tools

14. Ing. María José Pérez Zavala