Black Box Testing Techniques by Sampath M
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This document provides an overview of black box testing techniques. It begins with an agenda that outlines topics like quality assurance, testing types (functional vs non-functional), and black box testing. The document then defines black box testing as testing an application's functionality without knowing its internal structure or code. Common black box techniques are described like equivalence partitioning, boundary value analysis, decision tables, and error guessing. Examples of using these techniques for testing valid and invalid salary, date, and month fields in a talent management application are also provided.
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Learn how they built automated workflows to manage periodic updates, merge airspace data, and support data extracts – all while meeting strict government reporting requirements to the Civil Aviation Administration of Sweden.
Even better? Swedavia built custom services and applications that use the FME Flow REST API to trigger jobs and retrieve results – streamlining tasks like securing the quality of new surveyor data, creating permdelta and baseline representations in the AIS schema, and generating AIXM extracts from their AIS data.
To conclude, FME expert Dean Hintz will walk through a GeoBorders reading workflow and highlight recent enhancements to FME’s AIXM (Aeronautical Information Exchange Model) processing and interpretation capabilities.
Discover how airports like Swedavia are harnessing the power of FME to simplify aviation data management, and how you can too.
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Developers have full access to source code, specs, and tools for end-to-end chip creation.
It supports AI, HPC, cloud, and embedded workloads with proven performance.
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It brings to the forefront that understanding your adversary, especially an aggressive nation state, is important for cyber defense. Knowing their motivations, capabilities, and tactics becomes an advantage when allocating resources for maximum impact.
Intelligence shows Russia is on a cyber rampage, leveraging FSB, SVR, and GRU resources to professionally target Ukraine’s critical infrastructures, military, and international diplomacy support efforts.
The number of total incidents against Ukraine, originating from Russia, has steadily increased from 1350 in 2021 to 4315 in 2024, but the number of actual critical incidents has been managed down from a high of 1048 in 2022 to a mere 59 in 2024 — showcasing how the rapid detection and response to cyberattacks has been impacted by Ukraine’s improved cyber resilience.
Even against a much larger adversary, Ukraine is showcasing outstanding cybersecurity, enabled by strong strategies and sound tactics. There are lessons to learn for any enterprise that could potentially be targeted by aggressive nation states.
Definitely worth the read!
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For millions of people living with disabilities, poorly designed content isn’t just frustrating. It’s a barrier to growth. Inclusive learning is about fixing that. And today, AI is helping us build digital learning that’s smarter, kinder, and accessible to everyone.
Accessible learning increases engagement, retention, performance, and inclusivity for everyone. Inclusive design is simply better design.
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Black Box Testing Techniques by Sampath M
- 1. Black box Testing Techniques BY : Sampath kumar M DATE : 16-09-2015
- 2. Agenda Overview of Quality Assurance and Testing Black Box Testing Black Box - Test Design Techniques Live Examples in Test Design techniques (TalentOz)
- 3. Testing Overview FUNCTIONAL • COMPONENT (UNIT) TESTING • INTEGRATION TESTING • SYSTEM / END-TO-END TESTING NON-FUNCTIONAL • PERFORMANCE • SECURITY • COMPATIBILITY • USABILITY • LOCALIZATION
- 4. Classification Of Testing By the object of testing: Functional Testing Performance Testing Load testing/Stress testing (stability / endurance / soak testing) Usability Testing Testing the user interface (UI testing) Security Testing Localization Testing Compatibility Testing By the basis of positive scenario: Positive testing Negative testing ➢ Smoke Testing ➢ New feature Testing ➢ Regression Testing ➢ Acceptance Testing ➢ Alpha Testing ➢ Beta Testing By the time of testing: According to the degree of automation Manual testing Automation Testing Semi-automated testing By degree of preparedness to be tested Documentation Testing (formal testing) Test Ad-hoc or Intuitive Testing (Ad-hoc Testing)
- 5. By the knowledge of the system: Testing the black box Testing the white box Testing the grey box
- 6. ✓ TESTING OF FUNCTIONAL PART OF THE APPLICATION ✓ NEED NOT HAVE ANY FORMAL STRUCTURAL KNOWLEDGE OF THE CODE ✓ TESTING ENGINEERS ✓ WHY NO DEVELOPERS DO THIS TESTING ???? What is Black Box Testing ?
- 7. Test Design Techniques Typical black-box test design techniques include: ✓ State Transition ✓ Equivalence Partitioning ✓ Boundary Value analysis ✓ Decision Table testing (Cause effect graph) ✓ Error guessing
- 8. Equivalence Partitioning Live TalentOz Example Invalid Salary Field Valid Salary field Invalid Salary field Invalid Salary Field Invalid Salary Field A,B,C……Z 1,2,3,……. a,b,c,d,….z !,@,#..... -1,-2,-3….. Considering Gross Salary as input field, which accepts only Positive numbers
- 9. Boundary Value Analysis Live TalentOz Example Considering Day, Month As input possibilities Invalid – Valid boundary Day field (Lower) Invalid – Valid boundary Day field (Upper) Below Boundary Above Boundary Below Boundary Above Boundary 0 1 31 33 Invalid – Valid boundary Month field (Lower) Invalid – Valid boundary Month field (Upper) Below Boundary Above Boundary Below Boundary Above Boundary 0 1 12 13 ▪ Most of errors occurs at boundary ▪ You test boundaries between equivalence partitions
- 10. Decision Table Testing Live TalentOz Example This Decision Table explains about the Competency Assessment in Live Talentoz.Test Combination of inputs that produce different results. Also called as Cause-effect testing Created Combination of conditions that might get grayed out during ad-hoc testing methodology Rule 1 Rule 2 Rule 3 Cause 1 Cause 2 Cause 3 Effect 1 Effect 2 1. Identify cause & effect 2. Establish relation relation between cause and effect 3. Add constraints between cause and effect 4. Convert graph as table 5. Generate Test Case
- 11. Error Guessing Assumptions and Guessing The success of error guessing is very much dependent on the skill of the tester Blank (or no) input, empty files and the wrong kind of data (e.g. alphabetic characters where numeric are required) For E.g. From the requirement tester should be able to guess the error possibility 1. Requirement : Employee Status Inactive expected employee should not be allowed to login Error guess : Login Authentication one of the critical error occurring area 2. Requirement : Employee with Approved leave will not fall in learning recommendation Error Guess : Integration between one module & another may cause regression due to new requirements
- 12. Q&A Thank you