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Subject: Regression testing
Subject: Scientific application
Subject: Software quality


Year: 2013


Type: Proceeding article



Title: Software Engineering Solutions for Improving the Regression Testing Methods in Scientific Applications Development


Author: Koteska, Bojana
Author: Pejov, LJupcho
Author: Mishev, Anastas



Abstract: The aim of this paper is to improve the testing process of scientific applications by proposing some software engineering solutions for regression testing. Given the fact that changes are a common part of the development of scientific applications the need for regression testing is essential. Concerning to improve the methods of regression testing the relationship between requirements and test case selection for regression testing is included as a relevant for improving the overall quality of the testing process. Special emphasis is given on the requirements’ changes during the application development process and their impact on test case modifications. In addition, we also state the reasons for the implementation and the importance of the regression testing as a part of the verification process of scientific applications. In order to get more relevant results we made an interview with a scientist (chemist) about the regression testing practices in scientific applications. The conclusions and recommendations in this paper are based on the analysis of the results of a survey conducted among scientists in the HP-SEE project and the answers of the interview questions.


Publisher: CEUR-WS.org


Relation: 2nd Workshop on Software Quality Analysis, Monitoring, Improvement, and Applications, SQAMIA 2013.



Identifier: oai:repository.ukim.mk:20.500.12188/21629
Identifier: Bojana Koteska, Ljupco Pejov, and Anastas Mishev. “Software Engineering Solutions for Improving the Regression Testing Methods in Scientific Applications Development”. In: Proceedings of the 2nd Workshop on Software Quality Analysis, Monitoring, Improve- ment, and Applications, SQAMIA 2013. Vol. 1053. Novi Sad, Serbia: Faculty of Sciences, University of Novi Sad, Serbia, 2013, pp. 53–61. ISBN: 978-86-7031-269-2.
Identifier: 978-86-7031-269-2
Identifier: http://hdl.handle.net/20.500.12188/21629



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Software Engineering Solutions for Improving the Regression Testing Methods in Scientific Applications Development201316