A survey of many-objective optimisation in search-based software engineering
Search-based software engineering (SBSE) is changing the way traditional software
engineering (SE) activities are carried out by reformulating them as optimisation problems …
engineering (SE) activities are carried out by reformulating them as optimisation problems …
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 …
Search-based test case prioritization for simulation-based testing of cyber-physical system product lines
Abstract Cyber-Physical Systems (CPSs) integrate computation with physical processes.
These systems are usually highly configurable to address different customer needs and are …
These systems are usually highly configurable to address different customer needs and are …
Some seeds are strong: Seeding strategies for search-based test case selection
The time it takes software systems to be tested is usually long. Search-based test selection
has been a widely investigated technique to optimize the testing process. In this article, we …
has been a widely investigated technique to optimize the testing process. In this article, we …
[HTML][HTML] An empirical evaluation of evolutionary algorithms for unit test suite generation
Context Evolutionary algorithms have been shown to be effective at generating unit test
suites optimised for code coverage. While many specific aspects of these algorithms have …
suites optimised for code coverage. While many specific aspects of these algorithms have …
A large scale empirical comparison of state-of-the-art search-based test case generators
Context Replication studies and experiments form an important foundation in advancing
scientific research. While their prevalence in Software Engineering is increasing, there is still …
scientific research. While their prevalence in Software Engineering is increasing, there is still …
Pareto efficient multi-objective black-box test case selection for simulation-based testing
Context: In many domains, engineers build simulation models (eg, Simulink) before
developing code to simulate the behavior of complex systems (eg, Cyber-Physical Systems) …
developing code to simulate the behavior of complex systems (eg, Cyber-Physical Systems) …
Evaluating software testing techniques: A systematic mapping study
M Mayeda, A Andrews - Advances in Computers, 2021 - Elsevier
Software testing techniques are crucial for detecting faults in software and reducing the risk
of using it. As such, it is important that we have a good understanding of how to evaluate …
of using it. As such, it is important that we have a good understanding of how to evaluate …
[HTML][HTML] Archive-based multi-criteria Artificial Bee Colony algorithm for whole test suite generation
Testing an object-oriented software is harder than testing a structural program due to
inheritance, states, behaviour of different objects, association, and polymorphism properties …
inheritance, states, behaviour of different objects, association, and polymorphism properties …
Testing with fewer resources: An adaptive approach to performance-aware test case generation
Automated test case generation is an effective technique to yield high-coverage test suites.
While the majority of research effort has been devoted to satisfying coverage criteria, a …
While the majority of research effort has been devoted to satisfying coverage criteria, a …