Automatic Detection and Masking of Non-Atomic Exception Handling
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed
Contributors
Abstract
Developing robust applications is a challenging task. Al-though modern programming languages like C++ and Java provide sophisticated exception handling mechanisms to detect and correct runtime error conditions, exception handling code must still be programmed with care to preserve application consistency. In particular, exception handling is only effective if the premature termination of a method due to an exception does not leave an object in an inconsistent state. We address this issue by introducing the notion of failure atomicity in the context of exceptions and novel techniques to automatically detect and mask non-atomic exception handling. These techniques can be applied to applications written in several different programming languages, and can be used even when the application’s source code is not available. We perform experimental evaluation on both C++ and Java applications to demonstrate the effectiveness of our techniques and measure the overhead that they introduce.
Details
Original language | English |
---|---|
Title of host publication | 2003 International Conference on Dependable Systems and Networks |
Pages | 445-454 |
Number of pages | 10 |
Publication status | Published - 2003 |
Peer-reviewed | No |
Externally published | Yes |
Conference
Title | International Conference on Dependable Systems and Networks 2003 |
---|---|
Abbreviated title | DSN 2003 |
Duration | 22 - 25 June 2003 |
Degree of recognition | International event |
City | San Francisco |
Country | United States of America |
External IDs
Scopus | 1542359982 |
---|
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Keywords
- Robustness, Programming profession, computer lanuages, Java, Runtime, Applicatioin software, Error correction codes, Performance evaluation, software measurement, software performance