Software Testing Project: Testing csmap program
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This document summarizes a software testing project for a csmap program. It describes using unit testing with PyUnit, coverage testing with coverage.py, and mutation testing with PyMuTester. Testing revealed a bug that was then fixed. The results of coverage and mutation testing indicated that some test cases were insufficient and some code was unreachable.
Software Testing Project: Testing csmap program
- 1. Software Testing Project: Testing csmap program 生醫電資所 黃建龍 2013.6.25
- 2. csmap - Conservation Score Mapper ● Mapping the given range of a sequence to conservation scores of a chromosome. ● It used mmap, indexing and bisect module for accessing data fastly. ● However, to determine which sites are on the segments is complicated and error- prone.
- 3. ● For display of dense, continuous data such as GC percent, probability scores, and transcriptome data. ● The conservation score is calculated with whole genome multiple sequence alignments. ● Segmented of many continuous data Wiggle Track Format (WIG)
- 4. Wiggle Track Format (WIG)
- 5. file.seek(offset) It moves the pointer to some other part of the file so you can read or write at that place. e.g. seek(0) will move the pointer to the beginning of file.
- 6. Testing Process ● Unit testing ○ Built-in unittest module (PyUnit) ○ Generation of test cases ● Coverage testing ○ coverage.py ● Mutation testing ○ PyMuTester
- 7. Unit testing ● Testing a class or individual function. ● Comparison of expected value and return value.
- 8. unittest Module (PyUnit) http://imsardine.wordpress.com/tech/unit-testing-in-python/ 1. The test runner will run that method prior to each test. 2. The test runner will invoke that method after each test.
- 10. Generation of Test Cases ● 5 regions. ● The length of each region: 10 ● The distance of two neighboring regions: 10
- 11. Generation of Test Cases
- 12. Results
- 13. ● coverage.py (http://nedbatchelder.com/code/coverage/) ○ It monitors your program, noting which parts of the code have been executed, then analyzes the source to identify code that could have been executed but was not. Coverage testing
- 14. Coverage testing
- 15. HTML display
- 16. Bug fixes with test case 14.
- 17. Mutation testing ● It involves modifying a program's source code in small ways. ● Mutations are based on well-defined mutation operators (such as using the wrong operator or variable name). ● It helps developers locate weaknesses in the test cases used for the program.
- 18. PyMuTester
- 19. Results
- 20. Results Total: 21 ● Alive: 0 (0.0%) ● Killed 11 (52.4%) ● Unreachable: 10 (47.6%)
- 21. Conclusion ● Unit testing, coverage testing and mutation testing were used in this study, and a bug revealed under testing. ● The results of coverage testing and mutation testing indicated that test cases were insufficient or some of codes was unreachable.