Quality software has long been synonymous with software “without bugs”. Today, however, quality software has come to mean “easy to adapt” because of the constant pressure to change. Consequently, modern software teams seek for a delicate balance between two opposing forces: striving for reliability and striving for agility.
The TESTOMAT project will support software teams to strike the right balance by increasing the development speed without sacrificing quality. The achieve this goal, the project will advance the state-of-the-art in test automation for software teams moving towards a more agile development process.
The project will ultimately result in a Test Automation Improvement Model, which will define key improvement areas in test automation, with the focus on measurable improvement steps. Moreover, the project will advance the state of the art in test automation tools, investigating topics like test effectiveness, test prioritisation and testing for quality standards.
The results of the TESTOMAT project will allow the software testing teams in the consortium to make their testing more effective so that more resources are available for adding value to their products. The tool vendors and consultants on the other hand, will improve their offering and as such gain market share in a growing but highly competitive market.
|First Name||Last Name||Title|
|Mahshid||Helali Moghadam||Industrial Doctoral Student|
Automated Functional Dependency Detection Between Test Cases Using Doc2Vec and Clustering (Apr 2019) Sahar Tahvili, Leo Hatvani, Michael Felderer , Wasif Afzal, Markus Bohlin The First IEEE International Conference On Artificial Intelligence Testing (AI Testing)
Automated Functional Dependency Detection Between Test Cases Using Doc2Vec and Clustering (Apr 2019) Sahar Tahvili, Leo Hatvani, Michael Felderer , Wasif Afzal, Markus Bohlin The First IEEE International Conference On Artificial Intelligence Testing (AITest'2019)
IntegrationDistiller: Automating Integration Analysis and Testing of Object-Oriented Applications (Feb 2019) Mehrdad Saadatmand 20th IEEE International Conference on Industrial Technology (ICIT 2019)
sOrTES: A Supportive Tool for Stochastic Scheduling of Manual Integration Test Cases (Jan 2019) Sahar Tahvili, Rita Pimentel , Wasif Afzal, Marcus Ahlberg , Eric Fornander , Markus Bohlin Journal of IEEE Access (ACCESS)