Software Reliability Test Case Generation using Temporal Motifs Recovery and Configuration

doi:10.23940/ijpe.18.06.p9.11811189

Abstract

Abstract:

In software updating process, software reliability test plays an important role. Test cases are the key to software test. To match real usage habit, log analysis becomes a hot way to generate reliability test cases. However, using log analysis can’t cover new operations arising from software updating. In this paper, a reliability test cases generation method for updating software using temporal motifs recovery and configuration is presented in this paper. We tentatively introduce temporal network idea to abstract software usage log. Test cases adapting to software updating are generated using temporal motifs recovery and configuration. As a case study, the method is applied to an online application. The coverage frequency comparison experiment is designed. The proposed method can obtain similar results as log and Markov model. Thereby, the usability of the method is validated.

Submitted on February 27, 2018; Revised on April 1, 2018; Accepted on May 21, 2018
References: 14

Xuetao Tian, Feng Liu and Honghui Li. Software Reliability Test Case Generation using Temporal Motifs Recovery and Configuration [J]. Int J Performability Eng, 2018, 14(6): 1181-1189.

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