Automatic System Testing

Projektinformationen

AST

ID Finanzhilfevereinbarung: 824939

DOI

10.3030/824939

Projekt abgeschlossen

EK-Unterschriftsdatum 30 August 2018

Startdatum 1 Januar 2019

Enddatum 30 Juni 2020

Finanziert unter

• EXCELLENT SCIENCE - European Research Council (ERC)

Gesamtkosten

€ 150 000,00

EU-Beitrag

€ 150 000,00

Koordiniert durch

UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA
Italy

Periodic Reporting for period 1 - AST (Automatic System Testing)

Berichtszeitraum: 2019-01-01 bis 2020-06-30

Zusammenfassung vom Kontext und den Gesamtzielen des Projekts

The AST project addresses the development of an automatic GUI testing solution that uses Q-learning and semantic information to generate test cases for Web applications. Q-learning is exploited to incrementally and continuously learn how an application under test reacts to the generated test inputs and thus incrementally generate more effective and more sophisticated combinations of inputs. Semantic information, such as business rules and databases of semantically relevant input values, is used to guide the testing activity towards meaningful interaction sequences, limiting the generation of irrelevant inputs and interactions. The resulting technology has been experimented with industrial partners producing initial evidence of its suitability for the industrial context. Indeed, the GUI test automation solution investigated in the AST project can alleviate testers from part of their testing effort and can help rapidly releasing high-quality Web applications. In addition to its direct impact on software developers, the project indirectly affects the quality of the experience of the users of Web applications who can benefit from the availability of more reliable software applications.