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Software Test Automation Body of Knowledge (STABOK)Click here to download the full certification brochure in PDF
The ATBOK consists of five areas. These are detailed below.
- Test Design for Automated Test Execution
- Understanding Test Design
- Designing tests from requirements
- Designing tests from scenarios
- Requirement-based test design methods and techniques
- Separation of data from scripts
- Code-based test design
- Automation considerations when designing tests
- Selecting candidate tests to automate
- Introduction to Test Automation
- Overview of automation
- The purpose of test automation
- Different uses of technology to manage the testing effort (management, functional, performance, other types of testing, and with different SDLC approaches such as waterfall or iterative)
- Comparison of the vendor landscape to support test automation
- Selecting and acquiring test automation tools
- Determining automation requirements
- Defining goals and requirements including feasible uses of automation
- Determining return on investment
- Application compatibility
- Vendor selection and evaluation
- Understanding the potential for diverse vendors and solutions
- Vendor tool evaluation techniques
- Effective installation and maintenance approaches
- Infrastructure considerations
- Implementation approaches that support ongoing ease of use
- Organizational considerations to support automation
- A Survey of Test Automation Tools
- Functional Testing tools
- Through the interface
- Under the interface
- Web services
- Non Function Testing tools
- Load
- Performance
- Security
- Code Level tools
- Structural Test Execution tools
- Static Testing/Analysis tools
- Test Automation Support Tools and Systems
- Test Management Tools
- Functional Testing tools
- Overview of automation
- Scripting Methods and Techniques
- Understanding of basic and advanced scripting and programming techniques frequently utilized in Test Automation
- Working with files
- APIHTML
- OCR
- VB Script and Windows in the examples
- Robust Execution
- Object Validation
- Action Validation
- Recovery Design
- Status Reporting
- Maintenance Control
- Regular Expressions for Dynamic Object Recognition
- Dynamic Data Generation
- Object Class Modification
- Business Process Path Modification
- Database Testing:Structured Query Language (SQL)
- Relational DBMS Basics
- SQL Basics – Select, Insert, Update, Delete
- Using Aggregation to determine data health
- Combining Data from Multiple Tables with Joins
- Foreign Key Problems
- Using Sub-queries
- Generating Test Data
- Views
- Indices
- Testing Scalable Architectures
- Transaction Process Monitor (TPM)
- Database Integrity
- UML Database Model
- Outer Join example for testing
- Queries for Data Verification
- Test Automation Architecture
- Overview of automation architectures for various testing efforts (functional, performance, etc.)
- Characteristic of a good test automation architecture
- Description of test automation architectures
- Design approaches for architectures
- Functional
- Performance
- Other types
- Design approaches to support the organizational model
- Minimal automation resources
- Various levels of experience
- Unattended testing
- Integrating multiple tools into the design
- Scripting tools
- Data query and validation tools
- Test Automation Frameworks
- Test Automation Frameworks Overview
- Coding Standards: Design Patterns & Anti-Patterns
- Database Frameworks
- Robust Execution
- Regular Expression
- Debugging
- Reporting
- Database Fundamentals for Test Engineers
- Database Testing: Advanced Topics
- Risk Based Testing Analysis and Management
- Testing Web and eCommerce Applications
- Performance Testing for Web and Client/Server Applications
- Performance Testing Fundamentals
- Advanced Performance Testing & Tuning Techniques
- Programming and Database Concepts for Testing and QA Professionals
- Programming Concepts for Test and QA Professionals
- XML and Web Services Testing
- Application and Data Security Testing
- A Survey of Test Automation Tools
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| Paradigms and models |
| Methodologies and frameworks |
| Supporting disciplines |
| Practices |
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| Standards and Bodies of Knowledge |
| Glossaries |
| Outlines |
The Software Engineering Body of Knowledge (SWEBOK) is an international standard ISO/IEC TR 19759:2005[1] specifying a guide to the generally accepted software engineering body of knowledge.
The Guide to the Software Engineering Body of Knowledge (SWEBOK Guide) has been created through cooperation among several professional bodies and members of industry and is published by the IEEE Computer Society (IEEE).[2] The standard can be accessed freely from the IEEE Computer Society.[3] In late 2013, SWEBOK V3 was approved for publication and released.[4] In 2016, the IEEE Computer Society kicked off the SWEBoK Evolution effort to develop future iterations of the body of knowledge.[5]
SWEBOK Version 3[edit]
The published version of SWEBOK V3 has the following 15 knowledge areas (KAs) within the field of software engineering:
- Software engineering models and methods
- Computing foundations
- Mathematical foundations
- Engineering foundations
It also recognized, but did not define, these related disciplines:
- General management
2004 edition of the SWEBOK[edit]
The 2004 edition of the SWEBOK guide defined ten knowledge areas (KAs) within the field of software engineering:
- Software engineering management (engineering management)
The SWEBOK also defines disciplines related to software engineering:
- Software ergonomics (cognitive ergonomics)
Similar efforts[edit]
A similar effort to define a body of knowledge for software engineering is the 'Computing Curriculum Software Engineering (CCSE),' officially named Software Engineering 2004 (SE2004). The curriculum largely overlaps with the 2004 SWEBOK V2 because the SWEBOK has been used as one of its sources; however, it is more directed towards academia. Whereas the SWEBOK Guide defines the software engineering knowledge that practitioners should have after four years of practice, SE2004 defines the knowledge that an undergraduate software engineering student should possess upon graduation (including knowledge of mathematics, general engineering principles, and other related areas). SWEBOK V3 aims to address these intersections.
See also[edit]
- Project Management Body of Knowledge (PMBOK)
- Enterprise Architecture Body of Knowledge (EABOK)
- Business Analysis Body of Knowledge (BABOK)
- Automation Body of Knowledge (ABOK)
- Data Management Body of Knowledge (DMBOK)
References[edit]
- ^'ISO/IEC TR 19759:2005'. Retrieved 2013-04-01.
- ^'Guide to the software engineering body of knowledge : 2004 version,' Library of Congress Online Catalog, 2005, http://lccn.loc.gov/2005921729. Retrieved 16 July 2013.
- ^'SWEBOK'. Computer.org. Retrieved 2014-01-31.
- ^'New Version of Guide to the Software Engineering Body of Knowledge Approved'. Retrieved 2014-01-31.
- ^'SWEBoK Evolution'. Retrieved 2017-02-21.