An Extensible, Regular-Expression-Based Tool for Multi-Language Mutant Generation
Mutation testing is widely used in research (even if not in practice). Mutation testing tools usually target only one programming language and rely on parsing a program to generate mutants, or operate not at the source level but on compiled bytecode. Unfortunately, developing a robust mutation testing tool for a new language in this paradigm is a difficult and time-consuming undertaking. Moreover, bytecode/intermediate language mutants are difficult for programmers to read and understand. This paper presents a simple tool, called universalmutator, based on regular-expression-defined transformations of source code. The primary drawback of such an approach is that our tool can generate invalid mutants that do not compile, and sometimes fails to generate mutants that a parser-based tool would have produced. Additionally, it is incompatible with some approaches to improving the efficiency of mutation testing. However, the regexp-based approach provides multiple compensating advantages. First, our tool is easy to adapt to new languages; e.g., we present here the first mutation tool for Apple’s Swift programming language. Second, the method makes handling multi-language programs and systems simple, because the same tool can support every language. Finally, our approach makes it easy for users to add custom, project-specific mutations.
Go to https://github.com/agroce/universalmutator for more information!
Wed 30 May
|14:00 - 14:30|
|Link to publication File Attached|
|14:30 - 15:00|
Alex GroceNorthern Arizona University, Josie HolmesPennsylvania State University, USA, Darko MarinovUniversity of Illinois at Urbana-Champaign, August ShiUniversity of Illinois at Urbana-Champaign, Lingming ZhangPre-print Media Attached
|15:00 - 15:30|
Kevin MoranCollege of William & Mary, Michele TufanoCollege of William and Mary, Carlos Bernal-Cárdenas, Mario Linares-VásquezSystems and Computing Engineering Department , Universidad de los Andes , Bogotá, Colombia , Gabriele BavotaUniversità della Svizzera italiana (USI), Christopher Vendome, Massimiliano Di PentaUniversity of Sannio, Denys PoshyvanykWilliam and MaryPre-print Media Attached