GZoltar: an eclipse plug-in for testing and debugging

Campos, João C.; Riboira, André; Perez, Alexandre; Abreu, Rui

doi:10.1145/2351676.2351752

Cited by 161 publications

(96 citation statements)

References 10 publications

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“…This similarity coefficient and the failure probability of the corresponding system component are directly related [21]. The coefficients are used to create rankings of system components [22] or to create interactive visualizations of the SUT, revealing the most suspicious parts of the application's source code [23].…”

Section: Spreadsheets Spectrum-based Fault Localizationmentioning

confidence: 99%

On the Empirical Evaluation of Fault Localization Techniques for Spreadsheets

Hofer

Riboira

Wotawa

et al. 2013

Fundamental Approaches to Software Engineering

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Abstract. Spreadsheets are by far the most prominent example of enduser programs of ample size and substantial structural complexity. In addition, spreadsheets are usually not tested very rigorously and thus comprise faults. Locating faults is a hard task due to the size and the structure, which is usually not directly visible to the user, i.e., the functions are hidden behind the cells and only the computed values are presented. Hence, there is a strong need for debugging support. In this paper, we adapt three program-debugging approaches that have been designed for more traditional procedural or object-oriented programming languages. These techniques are Spectrum-based Fault Localization, Spectrum-Enhanced Dynamic Slicing, and Constraint-based Debugging. Beside the theoretical foundations, we present a more sophisticated empirical evaluation including a comparison of these approaches. The empirical evaluation shows that Sfl (Spectrum-based Fault Localization) and Sendys (Spectrum ENhanced Dynamic Slicing) are the most promising techniques.

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Section: Spreadsheets Spectrum-based Fault Localizationmentioning

confidence: 99%

On the Empirical Evaluation of Fault Localization Techniques for Spreadsheets

Hofer

Riboira

Wotawa

et al. 2013

Fundamental Approaches to Software Engineering

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“…To improve the intuitiveness of the diagnostic report generated by SFL, interactive visualization techniques have been proposed and are available within the GZoltar toolset 1 [19,20]. GZoltar is a fault-localization plugin for the Eclipse 2 integrated development environment.…”

Section: Diagnostic Report Visualizationmentioning

confidence: 99%

A diagnosis-based approach to software comprehension

Perez

Abreu

2014

Proceedings of the 22nd International Conference on Program Comprehension

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Program comprehension is a time-consuming task performed during the process of reusing, reengineering, and enhancing existing systems. Currently, there are tools to assist in program comprehension by means of dynamic analysis, but, e.g., most cannot identify the topology and the interactions of a certain functionality in need of change, especially when used in large, real-world software applications. We propose an approach, coined Spectrum-based Feature Comprehension (SFC), that borrows techniques used for automatic software-fault-localization, which were proven to be effective even when debugging large applications in resourceconstrained environments. SFC analyses the program by exploiting run-time information from test case executions to compute the components that are important for a given feature (and whether a component is used to implement just one feature or more), helping software engineers to understand how a program is structured and what the functionality's dependencies are. We present a toolset, coined Pangolin, that implements SFC and displays its report to the user using an intuitive visualization. A user study with the open-source application Rhino is presented, demonstrating the efficiency of Pangolin in locating the components that should be inspected when changing a certain functionality.

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“…There are a few toolsets offering spectrum-based fault localization, such as GZoltar 3 [8], Tarantula [19], or EzUnit [7]. GZoltar and Tarantula show the diagnostic reports visually in an attempt to facilitate the quest for the defects.…”

Section: Mzoltarmentioning

confidence: 99%

“…GZoltar [8] is a graphical debugging tool for the Eclipse IDE, on which MZoltar was based. Both toolsets are very similar, only differing in the support for Android devices.…”

Section: Related Workmentioning

confidence: 99%

“…Spectrum-based fault localization (SFL) is a technique, which is amongst the best performing techniques, that helps identifying the root cause of observed failures, relying on program execution data and test pass/fail information. GZoltar 1 [8], which focuses on Java programs, and Tarantula [19], which focuses on C programs are examples of tools offering the SFL technique. Since it is lightweight, SFL has been successfully applied in the context of embedded software [31].…”

Section: Introductionmentioning

confidence: 99%

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MZoltar: automatic debugging of Android applications

Machado

Campos

Abreu

2013

Proceedings of the 2013 International Workshop on Software Development Lifecycle for Mobile

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Automated diagnosis of errors and/or failures detected during software testing can greatly improve the efficiency of the debugging process, and thus help to make applications more reliable. In this paper, we propose an approach, dubbed MZoltar, offering dynamic analysis (namely, spectrumbased fault localization) of mobile apps that produces a diagnostic report to help identifying potential defects quickly. The approach also offers a graphical representation of the diagnostic report, making it easier to understand. Our experimental results show that the approach requires low runtime overhead (5.75% on average), while the tester needs to inspect 5 components (statements in this paper) on average to find the fault.

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GZoltar: an eclipse plug-in for testing and debugging

Cited by 161 publications

References 10 publications

On the Empirical Evaluation of Fault Localization Techniques for Spreadsheets

On the Empirical Evaluation of Fault Localization Techniques for Spreadsheets

A diagnosis-based approach to software comprehension

MZoltar: automatic debugging of Android applications

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