Thesis Topic Details

Topic ID:
3466
Title:
Bioinformatics software testing
Supervisor:
Joshua Ho
Research Area:
Bioinformatics, Software Engineering, Biomedical Engineering
Associated Staff
Assessor:
Bruno Gaeta
Topic Details
Status:
Active
Type:
Research
Programs:
CS CE BIOM BINF SE
Group Suitable:
No
Industrial:
Yes
Pre-requisites:
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Description:
Many bioinformatics programs have large input data (e.g., gigabyte-sized sequence data) and often implement sophisticated computational procedures (e.g., network simulation, string matching, machine learning, and combinatorial optimization). As a result, it is difficult to systematically test the correctness of these programs beyond the use of a few trivial test cases. Most of the faults in the programs are very difficult to detect, but once occur, may lead to incorrect biological conclusion or the design of a misguided follow-up experiment. This project will develop tools to help bioinformaticians to perform systematic software testing. We observed that many practicing bioinformaticians lack proper software testing training, and their programs are often not subjected to sufficient testing. One immediate goal of this project is to develop a software package that will help bioinformatics program developer to design, execute and report test cases. This project will fill an important need in bioinformatics that has not been fully addressed previously.
Comments:
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Past Student Reports
 
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