Automated Support for Reproducing and Debugging Field Failures

Author:

Jin Wei1,Orso Alessandro1

Affiliation:

1. Georgia Institute of Technology

Abstract

As confirmed by a recent survey conducted among developers of the Apache, Eclipse, and Mozilla projects, two extremely challenging tasks during maintenance are reproducing and debugging field failures—failures that occur on user machines after release. To help developers with these tasks, in this article we present an overall approach that comprises two different techniques: B ug R edux and F 3 . B ug R edux is a general technique for reproducing field failures that collects dynamic data about failing executions in the field and uses this data to synthesize executions that mimic the observed field failures. F 3 leverages the executions generated by B ug R edux to perform automated debugging using a set of suitably optimized fault-localization techniques. To assess the usefulness of our approach, we performed an empirical evaluation of the approach on a set of real-world programs and field failures. The results of our evaluation are promising in that, for all the failures considered, our approach was able to (1) synthesize failing executions that mimicked the observed field failures, (2) synthesize passing executions similar to the failing ones, and (3) use the synthesized executions to successfully perform fault localization with accurate results.

Funder

NSF

Google, IBM Research, and Microsoft Research

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Mobile App Bug Reporting via Real-Time Understanding of Reproduction Steps;IEEE Transactions on Software Engineering;2023-03-01

2. Accuracy Graphs of Spectrum-Based Fault Localization Formulas;IEEE Transactions on Reliability;2017-06

3. Localizing Runtime Anomalies in Service-Oriented Systems;IEEE Transactions on Services Computing;2017-01-01

4. Practitioners' expectations on automated fault localization;Proceedings of the 25th International Symposium on Software Testing and Analysis;2016-07-18

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