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EnglishThe task of debugging software failures is generally time consuming and involves substantial manual effort. A crucial part of this task lies in the reproduction of the reported failure at the developer’s site. In this paper, we propose a novel framework that aims to address the problem of failure reproduction by employing an adaptive search-based approach in combination with a limited amount of instrumentation. In particular, we formulate the problem of reproducing failures as a search problem: reproducing a software failure can be viewed as the search for a set of inputs that lead its execution to the failing path. The search is guided by information obtained through instrumentation. Preliminary experiments on small-size programs show promising results in which the proposed approach outperforms random search.
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| Titolo: | A Search-Based Framework for Failure Reproduction | |
| Autori: | ||
| Data di pubblicazione: | 2012 | |
| Abstract: | The task of debugging software failures is generally time consuming and involves substantial manual effort. A crucial part of this task lies in the reproduction of the reported failure at the developer’s site. In this paper, we propose a novel framework that aims to address the problem of failure reproduction by employing an adaptive search-based approach in combination with a limited amount of instrumentation. In particular, we formulate the problem of reproducing failures as a search problem: reproducing a software failure can be viewed as the search for a set of inputs that lead its execution to the failing path. The search is guided by information obtained through instrumentation. Preliminary experiments on small-size programs show promising results in which the proposed approach outperforms random search. | |
| Handle: | http://hdl.handle.net/11582/178211 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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