Publication

Low-Overhead Bug Fingerprinting for Fast Debugging

2010
Conference Papers

Abstract

There is a gap between the information available at the time of a software failure and the information actually shipped to developers in the corresponding bug report. As a result, identifying the cause of the bug based on this bug report is often difficult. To close this gap, we propose bug fingerprints an augmentation of classic automated bug reports with runtime information about how the reported bug occurred in production.

Official source

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2010
Conference Papers

Abstract

Official source

Related concepts (17)

Software bug

A software bug is an error, flaw or fault in the design, development, or operation of computer software that causes it to produce an incorrect or unexpected result, or to behave in unintended ways. The process of finding and correcting bugs is termed "debugging" and often uses formal techniques or tools to pinpoint bugs. Since the 1950s, some computer systems have been designed to deter, detect or auto-correct various computer bugs during operations.

Software aging

In software engineering, software aging is the tendency for software to fail or cause a system failure after running continuously for a certain time, or because of ongoing changes in systems surrounding the software. Software aging has several causes, including the inability of old software to adapt to changing needs or changing technology platforms, and the tendency of software patches to introduce further errors. As the software gets older it becomes less well-suited to its purpose and will eventually stop functioning as it should.

Software testing

Software testing is the act of examining the artifacts and the behavior of the software under test by validation and verification. Software testing can also provide an objective, independent view of the software to allow the business to appreciate and understand the risks of software implementation. Test techniques include, but are not necessarily limited to: analyzing the product requirements for completeness and correctness in various contexts like industry perspective, business perspective, feasibility and viability of implementation, usability, performance, security, infrastructure considerations, etc.