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DeepTC-enhancer

Devjeet Roy, Ziyi Zhang, Maggie Ma, Venera Arnaoudova, Annibale Panichella, Sebastiano Panichella, Danielle Gonzalez, Mehdi Mirakhorli

202032 citationsDOIOpen Access PDF

Abstract

Automated test case generation tools have been successfully proposed to reduce the amount of human and infrastructure resources required to write and run test cases. However, recent studies demonstrate that the readability of generated tests is very limited due to (i) uninformative identifiers and (ii) lack of proper documentation. Prior studies proposed techniques to improve test readability by either generating natural language summaries or meaningful methods names. While these approaches are shown to improve test readability, they are also affected by two limitations: (1) generated summaries are often perceived as too verbose and redundant by developers, and (2) readable tests require both proper method names but also meaningful identifiers (within-method readability).

Topics & Concepts

ReadabilityIdentifierComputer scienceDocumentationTest (biology)Information retrievalNatural language processingArtificial intelligenceProgramming languagePaleontologyBiologySoftware Testing and Debugging TechniquesSoftware Engineering ResearchSoftware System Performance and Reliability
DeepTC-enhancer | Litcius