The use of program profiling for software maintenance with applications to the year 2000 problem
ESEC '97/FSE-5 Proceedings of the 6th European SOFTWARE ENGINEERING conference held jointly with the 5th ACM SIGSOFT international symposium on Foundations of software engineering
Data Mining: Introductory and Advanced Topics
Data Mining: Introductory and Advanced Topics
Visualization of test information to assist fault localization
Proceedings of the 24th International Conference on Software Engineering
Automated Debugging: Are We Close
Computer
Pinpoint: Problem Determination in Large, Dynamic Internet Services
DSN '02 Proceedings of the 2002 International Conference on Dependable Systems and Networks
Locating causes of program failures
Proceedings of the 27th international conference on Software engineering
Scalable statistical bug isolation
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
Why Programs Fail: A Guide to Systematic Debugging
Why Programs Fail: A Guide to Systematic Debugging
SOBER: statistical model-based bug localization
Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering
Lightweight bug localization with AMPLE
Proceedings of the sixth international symposium on Automated analysis-driven debugging
Empirical Software Engineering
Empirical evaluation of the tarantula automatic fault-localization technique
Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
Cooperative bug isolation
An Evaluation of Similarity Coefficients for Software Fault Localization
PRDC '06 Proceedings of the 12th Pacific Rim International Symposium on Dependable Computing
Proceedings of the 2007 international symposium on Software testing and analysis
Effective Fault Localization using Code Coverage
COMPSAC '07 Proceedings of the 31st Annual International Computer Software and Applications Conference - Volume 01
On the Accuracy of Spectrum-based Fault Localization
TAICPART-MUTATION '07 Proceedings of the Testing: Academic and Industrial Conference Practice and Research Techniques - MUTATION
Non-parametric statistical fault localization
Journal of Systems and Software
LSH-preserving functions and their applications
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms
How well does test case prioritization integrate with statistical fault localization?
Information and Software Technology
Evolving human competitive spectra-based fault localisation techniques
SSBSE'12 Proceedings of the 4th international conference on Search Based Software Engineering
A general noise-reduction framework for fault localization of Java programs
Information and Software Technology
Spectral debugging: how much better can we do?
ACSC '12 Proceedings of the Thirty-fifth Australasian Computer Science Conference - Volume 122
F3: fault localization for field failures
Proceedings of the 2013 International Symposium on Software Testing and Analysis
Proceedings of the 2013 International Symposium on Software Testing and Analysis
Using automated program repair for evaluating the effectiveness of fault localization techniques
Proceedings of the 2013 International Symposium on Software Testing and Analysis
A theoretical analysis of the risk evaluation formulas for spectrum-based fault localization
ACM Transactions on Software Engineering and Methodology (TOSEM) - Testing, debugging, and error handling, formal methods, lifecycle concerns, evolution and maintenance
BPELDebugger: An effective BPEL-specific fault localization framework
Information and Software Technology
Slice-based statistical fault localization
Journal of Systems and Software
| Hi-index | 0.00 |
This article presents an improved approach to assist diagnosis of failures in software (fault localisation) by ranking program statements or blocks in accordance with to how likely they are to be buggy. We present a very simple single-bug program to model the problem. By examining different possible execution paths through this model program over a number of test cases, the effectiveness of different proposed spectral ranking methods can be evaluated in idealised conditions. The results are remarkably consistent to those arrived at empirically using the Siemens test suite and Space benchmarks. The model also helps identify groups of metrics that are equivalent for ranking. Due to the simplicity of the model, an optimal ranking method can be devised. This new method out-performs previously proposed methods for the model program, the Siemens test suite and Space. It also helps provide insight into other ranking methods.