A review on exception analysis

Chang, Byeong-Mo; Choi, Kwanghoon

doi:10.1016/j.infsof.2016.05.003

Cited by 16 publications

(3 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Their goal is to improve test coverage and not to assess errorhandling contracts as done in CHAOSMACHINE. Byeong-Mo et al [9] gave a comprehensive review on exception analysis. Fu and Ryder [13] described a static analysis method for exception chains in Java.…”

Section: Related Workmentioning

confidence: 99%

A Chaos Engineering System for Live Analysis and Falsification of Exception-Handling in the JVM

Zhang

Morin

Haller

et al. 2021

IIEEE Trans. Software Eng.

View full text Add to dashboard Cite

Software systems contain resilience code to handle those failures and unexpected events happening in production. It is essential for developers to understand and assess the resilience of their systems. Chaos engineering is a technology that aims at assessing resilience and uncovering weaknesses by actively injecting perturbations in production. In this paper, we propose a novel design and implementation of a chaos engineering system in Java called CHAOSMACHINE. It provides a unique and actionable analysis on exception-handling capabilities in production, at the level of try-catch blocks. To evaluate our approach, we have deployed CHAOSMACHINE on top of 3 large-scale and well-known Java applications totaling 630k lines of code. Our results show that CHAOSMACHINE reveals both strengths and weaknesses of the resilience code of a software system at the level of exception handling.• An empirical evaluation of CHAOSMACHINE on 3 realworld Java systems totaling 630k line of codes, containing 339 try-catch blocks executed by the considered production traffic. It shows the effectiveness of CHAOS-MACHINE to reveal both strengths and weaknesses of a software system's resilience at the exception-handling

show abstract

Section: Related Workmentioning

confidence: 99%

A Chaos Engineering System for Live Analysis and Falsification of Exception-Handling in the JVM

Zhang

Morin

Haller

et al. 2021

IIEEE Trans. Software Eng.

View full text Add to dashboard Cite

show abstract

“…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

View full text Add to dashboard Cite

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-

show abstract

“…3) Exception analysis: Byeong-Mo et al [5] gave a comprehensive review on exception analysis. Magiel Bruntink et al [3] proposed a characterization and evaluation method to statically discover faults in exception handling.…”

Section: Related Workmentioning

confidence: 99%

TripleAgent: Monitoring, Perturbation and Failure-Obliviousness for Automated Resilience Improvement in Java Applications

Zhang

Monperrus

2019

2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE)

View full text Add to dashboard Cite

In this paper, we present a novel resilience improvement system for Java applications. The unique feature of this system is to combine automated monitoring, automated perturbation injection, and automated resilience improvement. The latter is achieved thanks to the failure-oblivious computing, a concept introduced in 2004 by Rinard and colleagues. We design and implement the system as agents for the Java virtual machine. We evaluate the system on two real-world applications: a file transfer client and an email server. Our results show that it is possible to automatically improve the resilience of Java applications with respect to uncaught or mishandled exceptions.

show abstract

A review on exception analysis

Cited by 16 publications

References 29 publications

A Chaos Engineering System for Live Analysis and Falsification of Exception-Handling in the JVM

A Chaos Engineering System for Live Analysis and Falsification of Exception-Handling in the JVM

Assessing Exception Handling Testing Practices in Open-Source Libraries

TripleAgent: Monitoring, Perturbation and Failure-Obliviousness for Automated Resilience Improvement in Java Applications

Contact Info

Product

Resources

About