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Software Test Effectiveness
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HEY is a Hardware / Software Engineer, Programmer / Analyst, Reliability, Safety, and Systems Engineer with world-class expertise in hardware / software engineering, reliability, safety, systems, quality assurance, risk, human / machine interface, design, test, data mining, finite state analysis, statistical analysis, expert systems, artificial intelligence, and robotics.
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Test Effectiveness addressed the diversity of the software (S/W) user inputs over time, across different environments, and among different test suites, based on:
- Source Code
- Execution Environment
- S/W's Capability tMask Defects
- Fault Injection
- Built test stoppage criteria through test Suites
- Applied diverse suites tdetermine types of faults
- Established fault size
- Determined the number of test cases necessary to detect the fault
- Created test suites to detect small errors
- Accurate Operational Profile
- Recognized that some S/W users were other S/W and not humans
- Human users sometimes acted through drivers, and operation Systems
- Captured S/W to S/W Communication
- Improved S/W through the Five Levels of the Software Engineering Institute's
- (SEI) Capability Maturity Model (CMM)
There were three types of S/W testing for reliability:
(1) Module-Based
Determined if the module met specifications
Test cases based on amount of code and logical paths
(2) Integration-Based
One module added to previous and tested iteratively
Decision about order of Module integration part of test
(3) System-Based
Equivalence Partitioning
Boundary Analysis
Test Coverage Metrics used the following four types of metrics:
(1) Test Success Metric
This process defines Reliability as ratiof the number of successful test cases executed and the total amount of test cases executed during acceptance testing. This is done for late stages of testing, immediately prior tdelivery.
(2) IEEE Test Coverage Metric
This test metric defines reliability as the product of the Test Success
Metric and the ratio of the number of successful functions tested
(3) Leone's Test Coverage Metric
Reliability is defined as
(a)Test Success Metric or
(b) Ratiof successful tunsuccessful functions
(4) Tagging Metric
Faults injected intthe S/W system
Capability to detect faults measured
Software Failure Results used three primary methods of analysis:
- Fault Tree Analysis
- Determined areas of the software that could cause failure
- Established failure modes
- Modes become events in the fault tree
- Criticality was assigned to nodes.
- Failure Modes, Effects and Criticality Analysis (FMECA)
- Failure mechanisms, consequences, and failure likelihoods determined
- Failure Criticality
- Determined four levels of severity relative tthe end user:
I. Critical – Unrecoverable; Stops execution
II. Serious – Substantial performance degradation
III. Moderate – Execution produces errors
IV. Cosmetic – Errors tolerable
Read other articles by this KKAI Associate:
The Superiority of Ion Propulsion
Software Application Complexity and Code Complexity
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Kevin Kennedy & Associates, Inc.
Rapid Response Engineering® Solutions
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Indianapolis, Indiana 46268
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