This document discusses various software testing techniques including black box testing, white box testing, validation testing, and debugging strategies. Black box testing examines functionality without knowledge of internal structure, while white box testing uses knowledge of internal structure to derive test cases. Validation testing ensures requirements are met from the customer perspective. Debugging techniques include brute force, backtracking potential causes, and cause elimination to remove errors found during testing.
Software Testing Techniques: An Overview QA InfoTech
Are you sure you're well versed with the intricate details of the techniques involved in software testing? Via this PPT, get some insight on static and dynamic software testing techniques, white box testing, and black box testing as well stay tuned for more!
An Insight into the Black Box and White Box Software Testing BugRaptors
Software testing is one of the best means to affirm the quality of an application and deliver error-free software. Over the years, software testing has developed into a separate discipline providing way to numerous different testing techniques that have been introduced, scrutinized and considered in this area. Read More Here!
Software Testing Techniques: An Overview QA InfoTech
Are you sure you're well versed with the intricate details of the techniques involved in software testing? Via this PPT, get some insight on static and dynamic software testing techniques, white box testing, and black box testing as well stay tuned for more!
An Insight into the Black Box and White Box Software Testing BugRaptors
Software testing is one of the best means to affirm the quality of an application and deliver error-free software. Over the years, software testing has developed into a separate discipline providing way to numerous different testing techniques that have been introduced, scrutinized and considered in this area. Read More Here!
This is the most important topic of OOAD named as Object Oriented Testing. It is used to prepare a good software which has no bug in it and it performs very fast. <a href="https://harisjamil.pro">Haris Jamil</a>
Software testing is an activity of finding defect or bugs by checking actual result with Expected result to make software defect free.Types of Testing are Black Box Testing and White Box Testing.
This is the most important topic of OOAD named as Object Oriented Testing. It is used to prepare a good software which has no bug in it and it performs very fast. <a href="https://harisjamil.pro">Haris Jamil</a>
Software testing is an activity of finding defect or bugs by checking actual result with Expected result to make software defect free.Types of Testing are Black Box Testing and White Box Testing.
Black Box Testing, also known as Behavioral Testing it is a method of software testing in which the internal structure/ design/ implementation of the item being tested is not known to the tester. These tests can be functional or non-functional, though usually functional. This method of test can be applied virtually to every level of software testing: unit, integration, system and acceptance. It typically comprises most if not all higher level testing, but can also embody unit testing
This lecture is about the detail definition of software quality and quality assurance. Provide details about software tesing and its types. Clear the basic concepts of software quality and software testing.
What is testing?
“An empirical, technical investigation conducted to provide stakeholders with information about the quality of the product under test.”
- Cem Kaner
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2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
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Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
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Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
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Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
2. • A Strategic approach to software testing
• Verification and validation
• Organizing for software testing
• Testing strategy for conventional software architectures
• Testing strategy for object-oriented architectures
• criteria for completion of testing.
3.
4.
5. Black box testing and white box testing
Every engineering product can be tested in one
of two ways.
Knowing the specified function that a product has been designed
to perform, tests can conducted to perform each function fully
and same time searching for errors.(Black box testing)
Knowing the internal working of the product, tests can be
conducted to ensure all.(white box testing)
6. • Black box testing:
• It is a method of s/w testing that examines the
functionality of an application without looking
into its internal structure of working, called an
black box testing.
• This method is applied at any level of testing
(unit,intergration,system,acceptance testing).
• These tests are based on requirements and
functionality.
7. • Another name for black box testing is
“behavioral testing”
• Black box testing techniques are:
• Equivalence partitioning
• Boundary value analysis
• Cause and effect graph technique
• Decision table testing
• Error causing.
8. • Equivalence partitioning:
It is one of the test design technique, used in black
box, white box, unit,……
It divides the entire input into partitions and test
each partition at once in time.
When we pick up a value from valid partition the
system should accept the vale.
9. • Boundary value analysis:
• It is also test design technique and related to
equivalence partitioning.
• Here we are testing both sides of valid partition,
having lower boundary and upper boundary.
10. • Cause and effect graph technique:
• Cause Effect Graph is a black box testing technique that
graphically illustrates the relationship between a given
outcome and all the factors that influence the outcome.
• cause and graph is based on requirements and situation.
• It is also known as Ishikawa diagram or fish bone diagram
because of the way it looks.
11. • Decision table:
• Decision table testing is a software testing technique
used to test system behavior for different input
combinations.
• This is a systematic approach where the different input
combinations and their corresponding system behavior
(Output) are captured in a tabular form.
12. • Error guessing:
• Error guessing is a technique on guessing the
error which can prevail in the code
• It is basically an experience based technique
• Where the test analyst uses his/her experience
to guess the problem in application.
13. • White box testing:
• White box testing sometimes called as glass-box
testing or transparent testing.
• Using white box testing methods the s/w engineer can
derive test cases
• guarantee that all independent paths within in a
module have been exercised at least once
• exercise all logical decisions on their true and false
sides.
• execute all loops at their boundaries and with in their
operational bounds
• exercise internal data structures to ensure their
validity
14. • Basis path testing
• Control structure testing.
• In basis path testing they are
• flow graph
• independent program paths
• deriving test cases
• graph matrices
15. • Step 1: consider program structure
• step 2: program structure is translated to flow
chart .
step 3: flow chart must be converted to flow
graph.(flow graph having nodes and
edges).
step 4: find cyclomatic complexity
step 5: find independent paths
a)how many no. of times that paths are
executed.
16. Validation testing
Verification :did we built the product right.
Validation :did we built the right product.
Def: validation succeeds when s/w functions work
in a manner that reasonably expected by
customers.
17. Validation test criteria:
A test procedure defines specific test cases,
It ensures that all functional requirements are
statisfied,
all behavioral characteristics are achived,
all performance requirements are attained,
documentation is correct, and
usability and other requirements are met.
18. • Configuration review:
• The intension of these review is to ensure
that all s/w configuration have been properly
developed.
• some times called an audit
• Alpha and beta testing:
• Alpha test is conducted at developer’s site by
end-users
• Alpha tests are conducted in a controlled
environment.
19. • Beta testing is conducted at end-user sites.
• The end-user records the problems that are
encountered during test
20. • System testing
• System testing is actually a series of different
tests whose primary purpose is to fully
exercise the computer based system.
• Recovery testing:
• Recovery test is a system test that forces the
s/w to fail in variety of ways and verifies that
recovery is properly performed.
21. • Security testing: it verifies the protection
mechanisms built into a system,infact to
protect it from improper penetration.
• Stress testing:
• Performance testing: the performance test is
designed to test the run-time performance of
s/w.
22. The art of debugging
Debugging is not the testing, is an art
Debugging occurs as a consequence of successful testing.
Debugging is the action that results in removal of error.
Debugging process:
Process begins with the execution of test cases
Results are, lack of correspondence b/w expected and actual
performance.
Debugging attempts to match symptoms with cause
23.
24. • Debugging have two out comes
• cause will found and corrected
• the cause will not found, in later cases the
person performing debugging may suspect a
cause.
• They are three debugging strategies.
• 1)brute force
• 2)backtracking
• 3)cause elimination
25. • Brute force:
• The brute force category of debugging is
probably the most common and least efficient
method for isolating the cause of a software
error.
• We apply brute force debugging methods
when all else fails.
• Using a "let the computer find the error"
philosophy,
26. • Backtracking
• Backtracking is a fairly common debugging
approach that can be used in small programs.
• where a symptom has been uncovered, the
source code is traced backward (manually)
until the cause is found.
27. • Cause elimination
• Data related to the error occurrence are
organized to isolate potential causes.
• A "cause hypothesis" is devised and the
aforementioned data are used to prove or
disprove the hypothesis.
• Alternatively, a list of all possible causes is
developed and tests are conducted to eliminate
each.