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  1. Proceedings of the 3rd International Workshop on Search-Driven Development: Users, Infrastructure, Tools, and Evaluation (SUITE '11)
  2. Discrepancy discovery in search-enhanced testing
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Recommending API methods based on identifier contexts
Content-based search of model repositories with graph matching techniques
Finding web services via BPEL fragment search
An algorithm search engine for software developers
A spontaneous code recommendation tool based on associative search
Discrepancy discovery in search-enhanced testing
Towards sharing source code facts using linked data
A prolog-based framework for search, integration and empirical analysis on software evolution data
What do developers search for in source code and why
Investigating how to effectively combine static concern location techniques
What kinds of development problems can be solved by searching the web?: a field study

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Discrepancy discovery in search-enhanced testing

Content Provider ACM Digital Library
Author Atkinson, Colin Janjic, Werner Barth, Florian Hummel, Oliver
Abstract Automating software testing can significantly reduce the time and effort required to assure the quality of software systems, and over recent years significant strides have been made in test automation techniques. However, one aspect of software testing that has always resisted full automation is the determination of the expected results for given system states and input values - the so called "oracle problem". Fortunately, the recent advent of a new generation of software search engines containing millions of reusable software artifacts offers an elegant solution to this dilemma. Once a search engine is able to deliver multiple results that conform to a given specification (by searching for and adapting preexisting components), multi-version testing of software with "harvested" oracles becomes a feasible alternative to manual oracle definition. In this paper we present an approach to Search-Enhanced Testing with a focus on the discovery of discrepancies between the results returned by harvested test oracles and a Component Under Test for randomly generated test invocations. Our current research focuses on validating the hypothesis that human test engineers will find more defects when analyzing such automatically discovered discrepancies than when developing test cases using traditional coverage criteria.
Starting Page 21
Ending Page 24
Page Count 4
File Format PDF
ISBN 9781450305976
DOI 10.1145/1985429.1985435
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-05-28
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Multi-version programming Automated testing Back-to-back testing Search-driven development
Content Type Text
Resource Type Article
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