English
Related papers

Related papers: Does Diversity Improve the Test Suite Generation f…

200 papers

Context: In search-based software engineering we often use popular heuristics with default configurations, which typically lead to suboptimal results, or we perform experiments to identify configurations on a trial-and-error basis, which…

Software Engineering · Computer Science 2020-12-29 Thomas Vogel , Chinh Tran , Lars Grunske

Search-Based Software Testing (SBST) has seen several success stories in academia and industry. The effectiveness of a search algorithm at solving a software engineering problem strongly depends on how such algorithm can navigate the…

Software Engineering · Computer Science 2025-09-22 Omur Sahin , Man Zhang , Andrea Arcuri

Software testing relates to the process of accessing the functionality of a program against some defined specifications. To ensure conformance, test engineers often generate a set of test cases to validate against the user requirements.…

Software Engineering · Computer Science 2017-02-16 Kamal Z. Zamli , Fakhrud Din , Graham Kendall , Bestoun S. Ahmed

There is an implicit assumption in software testing that more diverse and varied test data is needed for effective testing and to achieve different types and levels of coverage. Generic approaches based on information theory to measure and…

Software Engineering · Computer Science 2017-09-19 Robert Feldt , Simon Poulding

As games challenge traditional automated white-box test generators, the Neatest approach generates test suites consisting of neural networks that exercise the source code by playing the games. Neatest generates these neural networks using…

Software Engineering · Computer Science 2024-07-09 Patric Feldmeier , Gordon Fraser

The importance of mobile application (app) quality insurance is increasing with the rapid development of the mobile Internet. Automated test generation approaches, as a dominant direction of app quality insurance, follow specific models or…

Software Engineering · Computer Science 2024-06-13 Shengcheng Yu , Chunrong Fang , Mingzhe Du , Zimin Ding , Zhenyu Chen , Zhendong Su

The overall aim of the software industry is to ensure delivery of high quality software to the end user. To ensure high quality software, it is required to test software. Testing ensures that software meets user specifications and…

Software Engineering · Computer Science 2014-11-06 Chayanika Sharma , Sangeeta Sabharwal , Ritu Sibal

Genetic algorithms have been used in recent decades to solve a broad variety of search problems. These algorithms simulate natural selection to explore a parameter space in search of solutions for a broad variety of problems. In this paper,…

Neural and Evolutionary Computing · Computer Science 2022-03-25 Yoshio Martinez , Katya Rodriguez , Carlos Gershenson

Software testing is an important phase in the software development life-cycle because it helps in identifying bugs in a software system before it is shipped into the hand of its end users. There are numerous studies on how developers test…

Software Engineering · Computer Science 2019-02-15 Luis Cruz , Rui Abreu , David Lo

Energy consumption plays a vital role in mobile App development for developers and end-users, and it is considered one of the most crucial factors for purchasing a smartphone. In addition, in terms of sustainability, it is essential to find…

Neural and Evolutionary Computing · Computer Science 2023-06-19 Seyed Jalaleddin Mousavirad , Luís A. Alexandre

Context: Albeit different approaches exist for automated GUI testing of hybrid mobile applications, the practice appears to be not so commonly adopted by developers. A possible reason for such a low diffusion can be the fragility of the…

Software Engineering · Computer Science 2019-07-30 Riccardo Coppola , Luca Ardito , Marco Torchiano

Automatic test generation can help verify and develop the behavior of mobile applications. Test reuse based on semantic similarities between applications of the same category has been utilized to reduce the manual effort of Graphical User…

Software Engineering · Computer Science 2023-01-03 Shuqi Liu , Yu Zhou , Tingting Han , Taolue Chen

Fitness landscapes are a useful concept to study the dynamics of meta-heuristics. In the last two decades, they have been applied with success to estimate the optimization power of several types of evolutionary algorithms, including genetic…

Neural and Evolutionary Computing · Computer Science 2020-01-31 Nuno M. Rodrigues , Sara Silva , Leonardo Vanneschi

Software testing is an expensive process, which is vital in the industry. Construction of the test-data in software testing requires the major cost and to decide which method to use in order to generate the test data is important. This…

Software Engineering · Computer Science 2016-11-25 Arash Mehrmand , Robert Feldt

Benchmark suites are crucial for assessing the performance of evolutionary algorithms, but the constituent problems are often too complex to provide clear intuition about an algorithm's strengths and weaknesses. To address this gap, we…

Neural and Evolutionary Computing · Computer Science 2023-10-24 Jose Guadalupe Hernandez , Alexander Lalejini , Charles Ofria

Search-based test generation is guided by feedback from one or more fitness functions - scoring functions that judge solution optimality. Choosing informative fitness functions is crucial to meeting the goals of a tester. Unfortunately,…

Software Engineering · Computer Science 2021-08-31 Hussein Almulla , Gregory Gay

Software is omnipresent within all factors of society. It is thus important to ensure that software are well tested to mitigate bad user experiences as well as the potential for severe financial and human losses. Software testing is however…

Software Engineering · Computer Science 2025-04-30 Jason Wang , Basem Suleiman , Muhammad Johan Alibasa

Search-based Software Engineering has been utilized for a number of software engineering activities. One area where Search-Based Software Engineering has seen much application is test data generation. Evolutionary testing designates the use…

Software Engineering · Computer Science 2011-03-02 P. Maragathavalli

Neural architecture search is a promising area of research dedicated to automating the design of neural network models. This field is rapidly growing, with a surge of methodologies ranging from Bayesian optimization,neuroevoltion, to…

Machine Learning · Computer Science 2024-10-28 Kalifou René Traoré , Andrés Camero , Xiao Xiang Zhu

Non-functional properties, such as runtime or memory use, are important to mobile app users and developers, as they affect user experience. Previous work on automated improvement of non-functional properties in mobile apps failed to address…

Software Engineering · Computer Science 2023-08-23 James Callan , Justyna Petke
‹ Prev 1 2 3 10 Next ›