Debugging with dynamic slicing and backtracking
Software—Practice & Experience
Programmers use slices when debugging
Communications of the ACM
Simplifying and Isolating Failure-Inducing Input
IEEE Transactions on Software Engineering
Visualization of test information to assist fault localization
Proceedings of the 24th International Conference on Software Engineering
ICSM '93 Proceedings of the Conference on Software Maintenance
Automated support for classifying software failure reports
Proceedings of the 25th International Conference on Software Engineering
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
Empirical evaluation of the tarantula automatic fault-localization technique
Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
Effective program debugging based on execution slices and inter-block data dependency
Journal of Systems and Software - Special issue: Selected papers from the 11th Asia Pacific software engineering conference (APSEC 2004)
Statistical Debugging: A Hypothesis Testing-Based Approach
IEEE Transactions on Software Engineering
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
Are automated debugging techniques actually helping programmers?
Proceedings of the 2011 International Symposium on Software Testing and Analysis
Minimizing reproduction of software failures
Proceedings of the 2011 International Symposium on Software Testing and Analysis
IEEE Transactions on Software Engineering
Slice-based statistical fault localization
Journal of Systems and Software
HSFal: Effective fault localization using hybrid spectrum of full slices and execution slices
Journal of Systems and Software
| Hi-index | 0.00 |
During software development and maintenance stages, programmers have to frequently debug the software. One of the most difficult and complex tasks in the debugging activity is software fault localization. A commonly-used method to fix software fault is computing suspiciousness of program elements according to failed test executions and passed test executions. However, this technique does not give full consideration to dependences between program elements, thus its capacity for efficient fault localization is limited. Our research intends to introduce program slicing technique and statistical method which extracts dependencies between program elements and refines execution history, then builds program slicing spectra to rank suspicious elements by a statistical metric. We expect that our method will contribute directly to the improvement of the effectiveness and the accuracy of software fault localization and reduce the software development and maintenance effort and cost.