Reproducing failures based on semiformal failure scenario descriptions

Name: Reproducing failures based on semiformal failure scenario descriptions
Author: Karagöz, G., Sözer, Hasan

İsim	Reproducing failures based on semiformal failure scenario descriptions
Yazar	Karagöz, G., Sözer, Hasan
Basım Tarihi:	2017
Basım Yeri	- Springer International Publishing
Konu	Failure reproduction, Automated test case generation, Behavior-driven development, Industrial case study
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0963-9314
Kayıt Numarası	b022af7d-ed47-459c-8125-20f77319ce33
Lokasyon	Computer Science
Tarih	2017
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	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

Yazar Karagöz, G., Sözer, Hasan

Basım Tarihi 2017

Basım Yeri - Springer International Publishing

Konu Failure reproduction, Automated test case generation, Behavior-driven development, Industrial case study

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0963-9314

Kayıt Numarası b022af7d-ed47-459c-8125-20f77319ce33

Lokasyon Computer Science

Tarih 2017

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin 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