The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Software Black Box: an alternative mechanism for failure analysis
Abstract
Learning from software failures is an essential step towards the development of more reliable software systems and processes. However, as more intricate software systems are developed, determining the nature and causes of a software failure becomes a great challenge. Although many existing techniques can help in understanding the nature of the failure, they are limited in some of the following aspects. First, they work only within controlled environments. Second, they have a major impact on the target system behavior. Third, they assume that a failure can be reproduced. Fourth, they lack enough support to carry out a structured failure analysis. The authors present the Software Black Box (SBB) as an alternative mechanism for failure investigation. The SBB is different from its predecessors in that it was specifically designed to be embedded in a target system and assist in the investigation of failures by reconstructing the events that lead to the failure. The SBB architecture is discussed, and a set of failure scenarios that reveal the SBB potential in assisting failure investigation is presented.
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Weiser, M. (1984) · IEEE Transactions on Software Engineering · doi:10.1109/tse.1984.5010248 · Cited by 3,245
Graham, S. L., Kessler, P. B., & McKusick, M. K. (1982) · ACM SIGPLAN Symposium on Compiler Construction · doi:10.1145/800230.806987 · Cited by 989
Agrawal, H., & Horgan, J. R. (1990) · ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI) · doi:10.1145/93542.93576 · Cited by 886
Anderson, J. M. L., Berc, L. M., Dean, J., et al. (1997) · ACM Transactions on Computer Systems · doi:10.1145/265924.265925 · Cited by 483
Graham, S. L., Kessler, P. B., & McKusick, M. K. (1982) · ACM SIGPLAN Notices · doi:10.1145/872726.806987 · Cited by 297
Optimally profiling and tracing programs
Ball, T., & Larus, J. R. (1992) · ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL) · doi:10.1145/143165.143180 · Cited by 165
Optimal tracing and incremental reexecution for debugging long-running programs
Netzer, R. H. B., & Weaver, M. H. (1994) · Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation · doi:10.1145/178243.178477 · Cited by 68
Monitoring and debugging of distributed real-time systems
Tsai, J. J. P., & Yang, S. (1995) · IEEE Computer Society Press eBooks · Cited by 63
The Quality of Numerical Software: Assessment and Enhancement
Boisvert, R. F. (1997) · IFIP advances in information and communication technology · doi:10.1007/978-1-5041-2940-4_33 · Cited by 46
Balancing runtime and replay costs in a trace-and-replay system
Choi, J.-D., & Stone, J. M. (1991) · doi:10.1145/122759.122761 · Cited by 24
Software reliability as a function of user execution patterns
Munson, J. C., & Elbaum, S. G. (2003) · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.1109/hicss.1999.772984 · Cited by 19
Self-citationMunson, J. C. (2002) · IEEE Aerospace Applications Conference · doi:10.1109/aero.1996.499669 · Cited by 10
Self-citationA functional approach to software reliability modeling
Munson, J. C. (1997) · IFIP advances in information and communication technology · doi:10.1007/978-1-5041-2940-4_5 · Cited by 7
Self-citationRDB: A System for Incremental Replay Debugging
Shapiro, M. W. (1997) · Cited by 5
Investigating software failures with a software black box
Elbaum, S. G., & Munson, J. C. (2002) · Proceedings - IEEE Aerospace Conference · doi:10.1109/aero.2000.878756 · Cited by 5
Self-citationUsage patterns: extracting system functionality from observed profiles
Hall, G. A., & Munson, J. C. (1997) · Cited by 4
Self-citationConceptual framework for a software black box
Elbaum, S. G., & Munson, J. C. (1999) · Cited by 3
Self-citationArgade, P. V., Charles, D. K., & Taylor, C. (1994) · ACM SIGPLAN Notices · doi:10.1145/195470.195518 · Cited by 2
Argade, P. V., Charles, D. K., & Taylor, C. (1994) · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · doi:10.1145/195473.195518 · Cited by 2
New Techniques for Replay Debugging
Price, D. B. (1998) · Cited by 1
Research works printed but not linked: 1
- elbaum, 1998, CLIC Understanding Program Dynamics
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Shneiderman, B. (2020) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3419764 · Cited by 768
A Review of Trustworthy and Explainable Artificial Intelligence (XAI)
Chamola, V., Hassija, V., Sulthana, A. R., Ghosh, D., Dhingra, D., & Sikdar, B. (2023) · IEEE Access · doi:10.1109/access.2023.3294569 · Cited by 352
“digital assistants are additional possibilities [53], [61].”
Metadata
- Authors
- Elbaum, S., & Munson, J. C.
- Affiliations
- University of Nebraska–Lincoln (US)
- ORCID
- Elbaum, S.
- Venue
- Proceedings 11th International Symposium on Software Reliability Engineering. ISSRE 2000
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-07
- Pages
- 365-376
- ISSN
- 1071-9458 (ISSN-L)
- OpenAlex
- W2145813134
- Cited by
- 15
- References
- 20
- Citations by year
- 2024: 1 · 2023: 2 · 2022: 2 · 2020: 1 · 2018: 1 · 2017: 1 · 2015: 1
- FWCI
- 0.56
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Proceedings/Proceedings - International Symposium on Software Reliability Engineering (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Software System Performance and Reliability
- Physical Sciences › Computer Science › Software › Software Testing and Debugging Techniques
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed systems and fault tolerance
- Keywords
- software failure analysis, failure investigation, embedded monitoring, software reliability, failure scenarios, non-intrusive monitoring
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