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Content Provider | ACM Digital Library |
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Author | Tokumoto, Susumu Ghosh, Indradeep Uehara, Tadahiro Prasad, Mukul R. Yoshida, Hiroaki |
Abstract | Automated unit test generation bears the promise of significantly reducing test cost and hence improving software quality. However, the maintenance cost of the automatically generated tests presents a significant barrier to adoption of this technology. To address this challenge, we propose a novel technique for automated and fine-grained incremental generation of unit tests through minimal augmentation of an existing test suite. The technique uses iterative, incremental refinement of test-drivers and symbolic execution, guided by a diagnostics engine. The diagnostics engine works off a novel precise and efficient byte-level dynamic dependence analysis built using Reduced Ordered Binary Decision Diagrams (ROBDDs). We present a tool FSX implementing this technique and evaluate it under two practical use-cases of incremental unit test generation, on five revisions of the open-source software iPerf, as well as on 3 large subjects, comprising more than 60 thousand lines of code, from in-house commercial network products. The evaluation shows that FSX can generate high-quality unit tests on large industrial software while minimizing the maintenance cost of the overall test-suite. . |
Starting Page | 106 |
Ending Page | 117 |
Page Count | 12 |
File Format | |
ISBN | 9781450343909 |
DOI | 10.1145/2931037.2931055 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2016-07-18 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Unit testing Symbolic execution Automatic test generation |
Content Type | Text |
Resource Type | Article |
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