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Software tools for untangling safety-critical source code Feng, Feng
Abstract
Software Safety is an emerging discipline that focuses on the use of software to mitigate the risks of mishaps occurring, especially for software-intensive systems. Research on Software Safety methodology has largely focused on "front-end" of the whole safety process such as the specification of safety requirements. Aside from work on highly specialized techniques such as software fault injection, relatively little attention have been given by researchers to the "back-end" of verifying the safety of software implementation. One of the biggest difficulties of safety verification for software implementation is that safety-related source code often cross-cuts the modular structure of the software system. A recent doctoral dissertation by Ken Wong at the University of British Columbia identifies several possible methods that could be used to extract these safety-related code fragments from many components of software system. In this dissertation, we extend Wong's research, with an emphasis on using techniques and tools originally developed for other purposes such as the re-engineering of software systems. In particular, we focus on AOP (Aspect Oriented Programming) and Program Slicing. Aside from evaluating these techniques and tools to untangle software source code, we provide the design and implementation of our own slicing tool, which combines the advantages of both static and dynamic source code analysis to implement a hybrid approach. As a case study for our investigation, we have designed and implemented a model of a safety-critical software system that processes air traffic control radar surveillance data, which exhibits several cross-cutting safety concerns. We use this case study to investigate how various techniques and tools may be used to extract a representation of a crosscutting safety concern from source code.
Item Metadata
Title |
Software tools for untangling safety-critical source code
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2005
|
Description |
Software Safety is an emerging discipline that focuses on the use of software to mitigate
the risks of mishaps occurring, especially for software-intensive systems. Research on
Software Safety methodology has largely focused on "front-end" of the whole safety
process such as the specification of safety requirements. Aside from work on highly
specialized techniques such as software fault injection, relatively little attention have
been given by researchers to the "back-end" of verifying the safety of software
implementation.
One of the biggest difficulties of safety verification for software implementation is that
safety-related source code often cross-cuts the modular structure of the software system.
A recent doctoral dissertation by Ken Wong at the University of British Columbia
identifies several possible methods that could be used to extract these safety-related code
fragments from many components of software system.
In this dissertation, we extend Wong's research, with an emphasis on using techniques
and tools originally developed for other purposes such as the re-engineering of software
systems. In particular, we focus on AOP (Aspect Oriented Programming) and Program
Slicing. Aside from evaluating these techniques and tools to untangle software source
code, we provide the design and implementation of our own slicing tool, which combines
the advantages of both static and dynamic source code analysis to implement a hybrid
approach.
As a case study for our investigation, we have designed and implemented a model of a
safety-critical software system that processes air traffic control radar surveillance data,
which exhibits several cross-cutting safety concerns. We use this case study to investigate
how various techniques and tools may be used to extract a representation of a crosscutting
safety concern from source code.
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Genre | |
Type | |
Language |
eng
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Date Available |
2009-12-15
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0092175
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2005-11
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.