Almaghairbe, Rafig and Roper, Marc (2015) Building test oracles by clustering failures. In: 2015 IEEE/ACM 10th International Workshop on Automation of Software Test (AST). IEEE, pp. 3-7.
Almaghairbe_Roper_ICSE2015_building_test_oracles_clustering_failures.pdf - Accepted Author Manuscript
Download (137kB) | Preview
In recent years, software testing research has produced notable advances in the area of automated test data generation, but the corresponding oracle problem (a mechanism for determine the (in)correctness of an executed test case) is still a major problem. In this paper, we present a preliminary study which investigates the application of anomaly detection techniques (based on clustering) to automatically build an oracle using a system’s input/output pairs, based on the hypothesis that failures will tend to group into small clusters. The fault detection capability of the approach is evaluated on two systems and the findings reveal that failing outputs do indeed tend to congregate in small clusters, suggesting that the approach is feasible and has the potential to reduce by an order of magnitude the numbers of outputs that would need to be manually examined following a test run.
|Item type:||Book Section|
|Notes:||© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Keywords:||software testing, automated test data generation, oracle problem, anomaly detection techniques, fault detection, Computer software, Software|
|Subjects:||Science > Mathematics > Computer software|
|Department:||Faculty of Science > Computer and Information Sciences|
|Depositing user:||Pure Administrator|
|Date Deposited:||08 Jul 2015 04:03|
|Last modified:||02 Apr 2017 15:01|