ICST 2021
Mon 12 - Fri 16 April 2021
Mon 12 Apr 2021 10:33 - 10:50 at Tamandaré - Session 1

Mutation testing is a testing technique that is effective at designing tests and evaluating an existing test suite. Even though mutation testing has been developed to be applicable and effective towards different types of software systems and programing languages for many years, wide industrial use of mutation testing has not yet been seen. One primary reason that prevents developers and testers from using mutation testing is the expensive computational cost. Specifically, the need to manually identify equivalent mutants is a major obstacle and makes mutation testing very time consuming and labor intensive. This paper addresses this limitation and proposes a machine learning-based approach that designs and trains an abstract syntax tree recurrent neural network model to automatically classify equivalent mutants during the process of mutation testing. A pilot study with 582 mutants shows that the proposed machine learning-based approach can automatically classify equivalent mutants with an accuracy higher than 90%. The approach can significantly save the manual effort and time spent on identifying equivalent mutants during the process of mutation testing.

Mon 12 Apr

Displayed time zone: Brasilia, Distrito Federal, Brazil change

10:00 - 10:50
10:00
16m
Short-paper
Efficiently Sampling Higher Order Mutants Using Causal Effect
Mutation
Saeyoon Oh Korea Advanced Institute of Science and Technology (KAIST), Seongmin Lee Korea Advanced Institute of Science and Technology, Shin Yoo Korea Advanced Institute of Science and Technology
10:16
16m
Full-paper
Inducing Subtle Mutations with Program RepairBest Paper Award
Mutation
Florian Schwander , Rahul Gopinath CISPA, Germany, Andreas Zeller CISPA Helmholtz Center for Information Security
10:33
16m
Short-paper
Automatic Equivalent Mutants Classification Using Abstract Syntax Tree Neural Networks
Mutation
Samuel Peacock Towson University, Lin Deng Towson University, Josh Dehlinger Towson University, Suranjan Chakraborty Towson University