NDLI: Synthesizing method sequences for high-coverage testing

Content Provider	ACM Digital Library
Author	de Halleux, Jonathan Thummalapenta, Suresh Su, Zhendong Xie, Tao Tillmann, Nikolai
Abstract	High-coverage testing is challenging. Modern object-oriented programs present additional challenges for testing. One key difficulty is the generation of proper method sequences to construct desired objects as method parameters. In this paper, we cast the problem as an instance of program synthesis that automatically generates candidate programs to satisfy a user-specified intent. In our setting, candidate programs are method sequences, and desired object states specify an intent. Automatic generation of desired method sequences is difficult due to its large search space---sequences often involve methods from multiple classes and require specific primitive values. This paper introduces a novel approach, called Seeker, to intelligently navigate the large search space. Seeker synergistically combines static and dynamic analyses: (1) dynamic analysis generates method sequences to cover branches; (2) static analysis uses dynamic analysis information for not-covered branches to generate candidate sequences; and (3) dynamic analysis explores and eliminates statically generated sequences. For evaluation, we have implemented Seeker and demonstrate its effectiveness on four subject applications totalling 28K LOC. We show that Seeker achieves higher branch coverage and def-use coverage than existing state-of-the-art approaches. We also show that Seeker detects 34 new defects missed by existing tools.
Starting Page	189
Ending Page	206
Page Count	18
File Format	PDF
ISSN	03621340 15581160
DOI	10.1145/2076021.2048083
Journal	ACM SIGPLAN Notices (SIGP)
Volume Number	46
Issue Number	10
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1983-05-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Object-oriented testing Symbolic execution
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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