AI-Based Enhancement of Test Models in an Industrial Model-Based Testing Tool

被引：1

作者：

Mohacsi, Stefan ^{[1
]}

Felderer, Michael ^{[2
]}

机构：

[1] Atos IT Solut & Serv GmbH, Vienna, Austria

[2] Univ Innsbruck, Dept Comp Sci, Innsbruck, Austria

来源：

2021 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ANALYSIS, EVOLUTION AND REENGINEERING (SANER 2021) | 2021年

关键词：

model-based testing; test case generation; software testing; AI;

D O I：

10.1109/SANER50967.2021.00080

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This paper presents an envisioned approach to AI-based enhancements of test models in the industrial model-based testing tool TEMPPO Designer. Based on an overview of the tool, we present the required data collector, the AI-based data analyzer and ways to integrate the results into TEMPPO Designer.

引用

页码：636 / 638

页数：3

共 8 条

[1]

[Anonymous], 2012, Experiences of Test Automation: Case Studies of Software Test Automation

[2]

Atos, TEMPPO DES HOM

[3]

Beer A., 2008, 1 INT C SOFTW TEST V

[4] Evaluating defect prediction approaches: a benchmark and an extensive comparison [J].