Reproducing failures based on semiformal failure scenario descriptions

Title Reproducing failures based on semiformal failure scenario descriptions
Author Karagöz, G., Sözer, Hasan
Publication Date: 2017
Publication Place - Springer International Publishing
Subject Failure reproduction, Automated test case generation, Behavior-driven development, Industrial case study
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 0963-9314
Record ID b022af7d-ed47-459c-8125-20f77319ce33
Library Location Computer Science
Date 2017
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text Due to the increasing size and complexity of software systems, it becomes hard to test these systems exhaustively. As a result, some faults can be left undetected. Undetected faults can lead to failures in deployed systems. Such failures are usually reported by the users from the field or test engineers back to developers. It requires considerable time and effort to analyze and reproduce the reported failures because their descriptions are not always complete, structured and formal. In this paper, we introduce a novel approach for automatically reproducing failures to aid their debugging. Our approach relies on semi structured failure scenario descriptions that employ a set of keywords. These descriptions are preprocessed and mapped to a set of predefined test case templates with valid input sets. Then, test cases are generated and executed to reproduce the reported failure scenarios. The approach is evaluated with an industrial case study performed in a company from the telecommunications domain. Several failures were successfully reproduced. The approach is also adopted in the quality assurance process of the company. After one-time preparation of reusable test case templates and training of test engineers, 24.9 % of the reported failures (and 40 % of those that were manually reproducible) could be reproduced without any manual effort.
DOI 10.1007/s11219-016-9310-1
Cilt 25
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Reproducing failures based on semiformal failure scenario descriptions

Author Karagöz, G., Sözer, Hasan
Publication Date 2017
Publication Place - Springer International Publishing
Subject Failure reproduction, Automated test case generation, Behavior-driven development, Industrial case study
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 0963-9314
Record ID b022af7d-ed47-459c-8125-20f77319ce33
Library Location Computer Science
Date 2017
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text Due to the increasing size and complexity of software systems, it becomes hard to test these systems exhaustively. As a result, some faults can be left undetected. Undetected faults can lead to failures in deployed systems. Such failures are usually reported by the users from the field or test engineers back to developers. It requires considerable time and effort to analyze and reproduce the reported failures because their descriptions are not always complete, structured and formal. In this paper, we introduce a novel approach for automatically reproducing failures to aid their debugging. Our approach relies on semi structured failure scenario descriptions that employ a set of keywords. These descriptions are preprocessed and mapped to a set of predefined test case templates with valid input sets. Then, test cases are generated and executed to reproduce the reported failure scenarios. The approach is evaluated with an industrial case study performed in a company from the telecommunications domain. Several failures were successfully reproduced. The approach is also adopted in the quality assurance process of the company. After one-time preparation of reusable test case templates and training of test engineers, 24.9 % of the reported failures (and 40 % of those that were manually reproducible) could be reproduced without any manual effort.
DOI 10.1007/s11219-016-9310-1
Cilt 25
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