Locating faults using multiple spectra-specific models

Yu, Kai; Lin, Mengxiang; Gao, Qing; Zhang, Hui; Zhang, Xiangyu

doi:10.1145/1982185.1982490

Cited by 31 publications

(43 citation statements)

References 29 publications

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“…[2], [6], [9], [10], [12], [25]. The suite is composed of seven programs written in C and is accompanied by test suite pools and a set of 132 faults.…”

Section: B Subject Programs and Test Suite Poolsmentioning

confidence: 99%

“…To gather the required tracing information a prototype has been implemented on top of the Wet [30] framework in the same lines utilized in [12]. Wet works at machine code instructions' granularity and thus, it collects the required information in terms of instruction instances.…”

Section: Utilized Tools and Implemetation Detailsmentioning

confidence: 99%

“…3. The obtained results are categorized based on the assigned "scores", practice also used in [12], [13] and [25], in the following categories: 99-100%, 90-100%, 80-100%, 70-100%, 60-100%, 50-100%, 40-100%, 30-100%, 20-100%, 10-100%, 0-100%. Fig.…”

Section: A Effectiveness Evaluation -(Rq1)mentioning

confidence: 99%

“…Other techniques, usually referred to as coverage-based, [5], [6] monitor the program execution to gain runtime information, based on which they specify a suspiciousness rank of the program statements. Researchers have used many coverage elements such as the program statements [7], [8], [9] program branches [10], [6] program definition use pairs [11] and possible combinations of them [6], [12]. Empirical evidence has shown that coverage-based fault localization approaches can be very effective and helpful [9], [13] in diminishing the debugging effort.…”

Section: Introductionmentioning

confidence: 99%

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Using Mutants to Locate "Unknown" Faults

Papadakis

Traon

2012

2012 IEEE Fifth International Conference on Software Testing, Verification and Validation

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Abstract-Many fault localization techniques operate by crosscutting coverage information of passed and failed test executions. Generally, their accuracy depends on the utilized coverage elements and on the selected test cases. This paper proposes a novel fault localization method using mutation and investigates its accuracy when using classical test selection criteria such as mutation, branch and block. A controlled experiment shows that (1) the mutation based approach is quite effective at identifying "unknown" faulty program statements. Additionally, the experimental results reveal (2) that the mutation-based test suites are significantly more effective at supporting fault localization than block or branchbased test suites. Further, (3) evidence in support of facilitating mutation alternatives, such as mutant sampling, in order to diminish mutation overheads is also given. *

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“…[2], [6], [9], [10], [12], [25]. The suite is composed of seven programs written in C and is accompanied by test suite pools and a set of 132 faults.…”

Section: B Subject Programs and Test Suite Poolsmentioning

confidence: 99%

Section: Utilized Tools and Implemetation Detailsmentioning

confidence: 99%

Section: A Effectiveness Evaluation -(Rq1)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Using Mutants to Locate "Unknown" Faults

Papadakis

Traon

2012

2012 IEEE Fifth International Conference on Software Testing, Verification and Validation

View full text Add to dashboard Cite

show abstract

“…The similarity indicates the correlation between the occurrences of an activity dependence and observed incorrect behaviours [14]. At present, there are many similarity coefficients proposed, such as Tarantula [15], SBI [16] and Ochiai [17].…”

Section: B Resolvermentioning

confidence: 99%

Automatic Diagnosis for Composite Web Service in Cloud Computing

Jia¹,

Chen²,

Xu³

2013

Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

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Abstract-Cloud computing is becoming a popular and important platform for web service applications. With the advent of more and more service resources in cloud, it is a crucial challenge to build an effective diagnostic mechanism. To improve the diagnosis capability for composite web service, we propose an automatic diagnostic framework and a hybrid diagnosis method for diagnosing the faulty activities. Our diagnostic framework can improve the scalability of diagnostic system and add the diagnostic capability of diagnosis service by decoupling the diagnostic service components. Our diagnosis method identifies the differences between successful and failed executions for finding the incorrect activities of the composite service and provides faulty causes by considering the structured activities in the process of diagnosis. Experimental results show that our method is effective to the composite web service in the fault diagnosis.

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Improving spectral‐based fault localization using static analysis

et al. 2017

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Debugging is crucial for producing reliable software. One of the effective bug localization techniques is spectral-based fault localization (SBFL). It helps to locate a buggy statement by applying an evaluation metric to program spectra and ranking program components on the basis of the score it computes. SBFL is an example of a dynamic analysis -an analysis of computer program that is performed by executing it with sufficient number of test cases. Static analysis, on the other hand, is performed in a non-runtime environment. We introduce a weighting technique by combining these two kinds of program analysis. Static analysis is performed to categorize program statements into different classes and giving them weights based on the likelihood of being buggy statement. Statements are finally ranked on the basis of the weights computed by statements' categorization (static analysis) and scores computed by SBFL metrics (dynamic analysis). We evaluate the performance of our technique on Siemens test suite and Flex (having seeded bugs seeded by expert developers), Sed (having mixture of real and seeded bugs), and Space (having real bugs). In our evaluation, proposed weighting technique improves the performance of a wide variety of fault localization metrics up to 20% on single bug datasets and up to 42% on multi-bug datasets.We perform our experiments on a range of programs including Siemens test suite, Space, Sed, and Flex. Siemens test suite and Flex contain bugs seeded by expert developers, Sed have both real and seeded bugs, while Space contains real software bugs.

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Locating faults using multiple spectra-specific models

Cited by 31 publications

References 29 publications

Using Mutants to Locate "Unknown" Faults

Using Mutants to Locate "Unknown" Faults

Automatic Diagnosis for Composite Web Service in Cloud Computing

Improving spectral‐based fault localization using static analysis

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