Title
Automated Generation of Metamorphic Relations for Query-Based Systems
Abstract
Searching and displaying data based on user queries is a pervasive feature of most software applications such as information systems, web portals, and web APIs. The large volume of data managed by these types of systems, henceforth called query-based systems (QBSs), makes them extremely hard to test due to the difficulty to assess whether the output of a query is correct, the socalled test oracle problem. Metamorphic testing has proved to be a very effective approach to alleviate the oracle problem in QBSs, by exploiting the relations among multiple executions of the QBS under test, socalled metamorphic relations (MRs). However, the identification of MRs mostly remains a manual and creative task, limiting the appli-cability of the approach. In this paper, we propose a method for the automated generation of MRs in QBSs starting from a lightweight specification of the query parameters of the system. Evaluation results show that hundreds of MRs can be automatically identified in real-world systems like IMDb, SkyScanner, or YouTube in just a few seconds.
Year
DOI
Venue
2022
10.1145/3524846.3527338
2022 IEEE/ACM 7th International Workshop on Metamorphic Testing (MET)
Keywords
DocType
ISBN
Metamorphic testing,metamorphic relation,oracle problem
Conference
978-1-6654-6230-3
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Sergio Segura100.34
Juan C. Alonso200.34
Alberto Martin-Lopez393.48
Amador Durán400.34
Javier Troya500.34
Antonio Ruiz-Cortés600.34