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Numerous set similarity metrics have been used for ranking "suspiciousness" of code in spectral fault localization, which uses execution profiles of passed and failed test cases to help locate bugs. Research in data mining has identified several forms of possibly desirable symmetry in similarity metrics. Here we define several forms of "duals" of metrics, based on these forms of...
This paper investigates the relationship between the use of predicate-based and statement-based program spectra for bug localization. Branch and path spectra are also considered. Although statement and predicate spectra can be based on the same raw data, the way the data is aggregated results in different information being lost. We propose a simple and cheap modification to the statement-based approach...
This paper presents an approach of bug localization using a frequency weighting function. In an existing approach, only binary information of execution count from test executions is used. Information of each program statement being executed and not executed by a particular test is used; indicated by 1 and 0 respectively. In our proposed approach, frequency execution count of each program statement...
Software faults can be diagnosed using program spectra. The program spectra considered here provide information about which statements are executed in each one of a set of test cases. This information is used to compute a value for each statement which indicates how likely it is to be buggy, and the statements are ranked according to these values. We present two improvements to this method. First,...
In practice, manual debugging to locate bugs is a daunting and time-consuming task. By using software fault localization, we can reduce this time substantially. The technique of software fault localization can be performed using execution profiles of the software under several test inputs. Such profiles, known as program spectra, consist of the coverage of correct and incorrect executions statement...
In this paper, we present our approach of using non redundant test cases with program spectra (one of the automated bug localization techniques) to locate software bugs in a program. We evaluate several spectra metrics (functions mapped from program spectra) using the non redundant test cases. Extensive evaluation on Siemens Test Suite and subset of Unix datasets shows the effectiveness of locating...
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