Evolutionary computation in the era of large language model: Survey and roadmap
Large Language Models (LLMs), built upon Transformer-based architectures with massive
pretraining on diverse data, have not only revolutionized natural language processing but …
pretraining on diverse data, have not only revolutionized natural language processing but …
Codet: Code generation with generated tests
The task of generating code solutions for a given programming problem can benefit from the
use of pre-trained language models such as Codex, which can produce multiple diverse …
use of pre-trained language models such as Codex, which can produce multiple diverse …
Codamosa: Escaping coverage plateaus in test generation with pre-trained large language models
Search-based software testing (SBST) generates high-coverage test cases for programs
under test with a combination of test case generation and mutation. SBST's performance …
under test with a combination of test case generation and mutation. SBST's performance …
How to evaluate solutions in Pareto-based search-based software engineering: A critical review and methodological guidance
With modern requirements, there is an increasing tendency of considering multiple
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …
An empirical evaluation of using large language models for automated unit test generation
Unit tests play a key role in ensuring the correctness of software. However, manually
creating unit tests is a laborious task, motivating the need for automation. Large Language …
creating unit tests is a laborious task, motivating the need for automation. Large Language …
sfuzz: An efficient adaptive fuzzer for solidity smart contracts
Smart contracts are Turing-complete programs that execute on the infrastructure of the
blockchain, which often manage valuable digital assets. Solidity is one of the most popular …
blockchain, which often manage valuable digital assets. Solidity is one of the most popular …
Model-based exploration of the frontier of behaviours for deep learning system testing
With the increasing adoption of Deep Learning (DL) for critical tasks, such as autonomous
driving, the evaluation of the quality of systems that rely on DL has become crucial. Once …
driving, the evaluation of the quality of systems that rely on DL has become crucial. Once …
RESTful API automated test case generation with EvoMaster
A Arcuri - ACM Transactions on Software Engineering and …, 2019 - dl.acm.org
RESTful APIs are widespread in industry, especially in enterprise applications developed
with a microservice architecture. A RESTful web service will provide data via an API over the …
with a microservice architecture. A RESTful web service will provide data via an API over the …
Testing autonomous cars for feature interaction failures using many-objective search
RB Abdessalem, A Panichella, S Nejati… - Proceedings of the 33rd …, 2018 - dl.acm.org
Complex systems such as autonomous cars are typically built as a composition of features
that are independent units of functionality. Features tend to interact and impact one another's …
that are independent units of functionality. Features tend to interact and impact one another's …
Effective test generation using pre-trained large language models and mutation testing
Context: One of the critical phases in the software development life cycle is software testing.
Testing helps with identifying potential bugs and reducing maintenance costs. The goal of …
Testing helps with identifying potential bugs and reducing maintenance costs. The goal of …