Software Defect Prediction Using Exception Handling Call Graphs: A Case Study

Sawadpong, Puntitra; Allen, Edward B.

doi:10.1109/hase.2016.13

Cited by 13 publications

(3 citation statements)

References 21 publications

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“…Previous work has investigated and provided evidence on the positive correlation between exception handling code and software defect proneness (Marinescu 2011(Marinescu , 2013. This correlation emerges from sub-optimal exception handling practices (i.e., anti-patterns and flow characteristics) current adopted by software developers (Sawadpong and Allen 2016;de Pádua and Shang 2018). Additionally, the exception handling is usually neglected by developers (mainly by novices ones) and is considered as one of the least understood, documented, and tested part of a software system (Shah et al 2010;Zhang and Elbaum 2014;Chang and Choi 2016;Oliveira et al 2018).…”

Section: Exception Handling and Software Bugsmentioning

confidence: 99%

Assessing Exception Handling Testing Practices in Open-Source Libraries

Lima¹,

Rocha²,

Bezerra³

et al. 2021

Preprint

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Modern programming languages (e.g., Java and C#) provide features to separate error-handling code from regular code, seeking to enhance software comprehensibility and maintainability. Nevertheless, the way exception handling (EH) code is structured in such languages may lead to multiple, different, and complex control flows, which may affect the software testability. Previous studies have reported that EH code is typically neglected, not well tested, and its misuse can lead to reliability degradation and catastrophic failures. However, little is known about the relationship between testing practices and EH testing effectiveness. In this exploratory study, we (i) measured the adequacy degree of EH testing concerning code coverage (instruction, branch, and method) criteria; and (ii) evaluated the effectiveness of the EH testing by measuring its capability to detect artificially injected faults (i.e., mutants) using 7 EH mutation operators. Our study was performed using test suites of 27 long-lived Java libraries from open-source ecosystems. Our results show that instructions and branches within catch blocks and throw instructions are less covered, with statistical significance, than the overall instructions and branches. Nevertheless, most of the studied libraries presented test suites ca-

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Section: Exception Handling and Software Bugsmentioning

confidence: 99%

Assessing Exception Handling Testing Practices in Open-Source Libraries

Lima¹,

Rocha²,

Bezerra³

et al. 2021

Preprint

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show abstract

“…Exception handling mechanisms [1] are a common feature of modern programming languages. Exception handling structures are used to deal with unexpected events that occur during the execution DOI reference number: 10.18293/SEKE2019-002 of a program [2], allowing exceptions to be thrown, captured, and handled at different points in the system. However, the exception handling code designed to make a system more robust often works the other way around and become a burden programmers has to cope with, leading to bugs such as the uncaught exceptions.…”

Section: Introductionmentioning

confidence: 99%

CrashAwareDev: Supporting Software Development based on Crash Report Mining and Analysis (S)

Beserra¹,

Coelho²

2019

International Conferences on Software Engineering and Knowledge Engineering

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Exception handling mechanisms are a common feature of mainstream programming languages to deal with exceptional conditions. If on the one hand they allow the programmer to prepare the code to deal with exceptional conditions, on the other hand they can become a source of bugs that threatens the application robustness -studies have shown that uncaught exceptions are the main cause of application crashes. To keep track of crashes and enable an easier fault localization, several applications, nowadays, use crash reporting tools. In this work, we propose a tool named CrashAwareDev, integrated with the Eclipse IDE, which mines the information available in crash reporting tools to support programmers in their day-to-day activities. The proposed tool alerts developers about the classes related to recent crashes and warns about source code characteristics (bug patterns) that can be related to future crashes (similar to the ones that have happened). Doing so the tool aims at bringing the development environment closer to crash reporting tools, that are usually only used for bug fixing or for extracting robustness metrics. A case study was conducted and showed that the tool can support software development by displaying bug pattern alerts directly in the source code, signaling the classes involved in recent faults, and speeding up the crash's fault localization within the development environment itself.

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“…Sawadpong P. [4] proposed exception-based software metrics that are based on the structural attributes of exception handling call graphs. They empirically validate the proposed metrics through a case study of Hadoop Core using data mined from software repositories and defect reports.…”

Section: Introductionmentioning

confidence: 99%

Research on Exception of Meteorological Satellite Ground System Application Based on Resource Bottleneck

Zhao¹,

Lin²,

Lin³

et al. 2017

ACS

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Meteorological satellite ground application system resources are limited. Abnormal satellite missions often lead to hopple of system resources. In order to analyze the problem, this paper presents an anomaly analysis method for meteorological satellite ground system based on resource bottleneck. Through the CPU, memory and I/O, several types of resources in-depth were analyzed to find the bottleneck caused by the problem, thus providing recommendations for application optimization. Experimental analysis shows that the proposed method can reasonably analyze the resource bottleneck of CPU, memory and I/ O, and draw a good conclusion. To solve the meteorological satellite application system application anomaly caused by the bottleneck of the problem, the application of optimization to a certain extent plays a positive role.

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Software Defect Prediction Using Exception Handling Call Graphs: A Case Study

Cited by 13 publications

References 21 publications

Assessing Exception Handling Testing Practices in Open-Source Libraries

Assessing Exception Handling Testing Practices in Open-Source Libraries

CrashAwareDev: Supporting Software Development based on Crash Report Mining and Analysis (S)

Research on Exception of Meteorological Satellite Ground System Application Based on Resource Bottleneck

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