Volume 14 Number 11 (Nov. 2019)
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JSW 2019 Vol.14(11): 548-558 ISSN: 1796-217X
doi: 10.17706/jsw.14.11.548-558

Automation Testing for Order to Cash Process in Microsoft Dynamics 365

Arjun Vishnu Roy1*, Shahid Ali2
1AGI Education Limited and 190 Great South Road Epsom, Auckland, New Zealand, Indian.
2AGI Education limited and 190 Great South Road Epsom, Auckland, New Zealand, New Zealand.

Abstract—This discusses the software automation testing of Microsoft Dynamics (MSD) 365 in finance and operations modules. To perform automation testing, order to cash process was selected. The aim of this research is to build an effective testing framework for order to cash process in MSD 365. A test for order to cash process was designed to do the automation testing in MSD. In this research, Agile-based Scrum method was followed. Adoption of Agile methodology is beneficial for whole team and daily stand-up meetings in agile methodology helped in raising the issues. Daily meetings with the development team have helped in getting valuable feedback on changes that needs to be incorporated for improving the quality of automation testing script. This approach helped us in reducing the overall time for implementation the code and leading to increase work productivity. However, the main contribution of this research is the proposed solution to overcome some of the key challenges faced during the automation of web application. The second main contribution of this research is the automation testing for order to cash process in MSD 365 which could be beneficial for organizations. This will help organizations in reducing the effort of manual testing and the overall time needed for test execution.

Index Terms—Microsoft dynamics (MSD) 365, regression, automation testing.

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Cite: Arjun Vishnu Roy, Shahid Ali, "Automation Testing for Order to Cash Process in Microsoft Dynamics 365," Journal of Software vol. 14, no. 11, pp. 548-558, 2019.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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